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\n  \n 2024\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n Game-Based Learning Analytics: Insights from an Integrated Design Process.\n \n \n \n \n\n\n \n Boothe, M.; Gopalakrishnan, M.; Huynh, M.; Wang, Y.; and Ochoa, X.\n\n\n \n\n\n\n In Plass, J. L.; and Ochoa, X., editor(s), Serious Games, volume 15259, pages 108–123. Springer Nature Switzerland, Cham, 2024.\n Series Title: Lecture Notes in Computer Science\n\n\n\n
\n\n\n\n \n \n \"Game-BasedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{plass_game-based_2024,\n\taddress = {Cham},\n\ttitle = {Game-{Based} {Learning} {Analytics}: {Insights} from an {Integrated} {Design} {Process}},\n\tvolume = {15259},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-031-74137-1 978-3-031-74138-8},\n\tshorttitle = {Game-{Based} {Learning} {Analytics}},\n\turl = {https://link.springer.com/10.1007/978-3-031-74138-8_9},\n\tlanguage = {en},\n\turldate = {2025-02-11},\n\tbooktitle = {Serious {Games}},\n\tpublisher = {Springer Nature Switzerland},\n\tauthor = {Boothe, Maurice and Gopalakrishnan, Madhumitha and Huynh, Mischa and Wang, Yanzhi and Ochoa, Xavier},\n\teditor = {Plass, Jan L. and Ochoa, Xavier},\n\tyear = {2024},\n\tdoi = {10.1007/978-3-031-74138-8_9},\n\tnote = {Series Title: Lecture Notes in Computer Science},\n\tpages = {108--123},\n}\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n OpenOPAF: An Open-Source Multimodal System for Automated Feedback for Oral Presentations.\n \n \n \n \n\n\n \n Ochoa, X.; and Zhao, H.\n\n\n \n\n\n\n Journal of Learning Analytics, 11(3): 224–248. 2024.\n Publisher: ERIC\n\n\n\n
\n\n\n\n \n \n \"OpenOPAF:Paper\n  \n \n \n \"OpenOPAF: paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ochoa_openopaf:_2024,\n\ttitle = {{OpenOPAF}: {An} {Open}-{Source} {Multimodal} {System} for {Automated} {Feedback} for {Oral} {Presentations}.},\n\tvolume = {11},\n\tcopyright = {All rights reserved},\n\tshorttitle = {{OpenOPAF}},\n\turl = {https://eric.ed.gov/?id=EJ1456262},\n\tnumber = {3},\n\turldate = {2025-02-11},\n\tjournal = {Journal of Learning Analytics},\n\tauthor = {Ochoa, Xavier and Zhao, Heru},\n\tyear = {2024},\n\tnote = {Publisher: ERIC},\n\tpages = {224--248},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/RK6IHW95/file/view}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Unpacking the Complexity: Why Current Feedback Systems Fail to Improve Learner Self-Regulation of Participation in Collaborative Activities.\n \n \n \n \n\n\n \n Ochoa, X.; Huang, X.; and Charlton, A.\n\n\n \n\n\n\n Journal of Learning Analytics, 11(2): 246–267. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"UnpackingPaper\n  \n \n \n \"Unpacking paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ochoa_unpacking_2024,\n\ttitle = {Unpacking the {Complexity}: {Why} {Current} {Feedback} {Systems} {Fail} to {Improve} {Learner} {Self}-{Regulation} of {Participation} in {Collaborative} {Activities}},\n\tvolume = {11},\n\tcopyright = {All rights reserved},\n\tshorttitle = {Unpacking the {Complexity}},\n\turl = {https://learning-analytics.info/index.php/JLA/article/view/8355},\n\tnumber = {2},\n\turldate = {2025-02-11},\n\tjournal = {Journal of Learning Analytics},\n\tauthor = {Ochoa, Xavier and Huang, Xiaomeng and Charlton, Adam},\n\tyear = {2024},\n\tpages = {246--267},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/CKSQ9C53/file/view}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Evidence‐based learning analytics: Reusing and reapplying successful methods and techniques in real learning settings.\n \n \n \n \n\n\n \n Cechinel, C.; Maldonado‐Mahauad, J.; Munoz, R.; and Ochoa, X.\n\n\n \n\n\n\n British Journal of Educational Technology, 55(5): 1837–1840. September 2024.\n \n\n\n\n
\n\n\n\n \n \n \"Evidence‐basedPaper\n  \n \n \n \"Evidence‐based paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{cechinel_evidencebased_2024,\n\ttitle = {Evidence‐based learning analytics: {Reusing} and reapplying successful methods and techniques in real learning settings},\n\tvolume = {55},\n\tcopyright = {All rights reserved},\n\tissn = {0007-1013, 1467-8535},\n\tshorttitle = {Evidence‐based learning analytics},\n\turl = {https://bera-journals.onlinelibrary.wiley.com/doi/10.1111/bjet.13506},\n\tdoi = {10.1111/bjet.13506},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2025-02-11},\n\tjournal = {British Journal of Educational Technology},\n\tauthor = {Cechinel, Cristian and Maldonado‐Mahauad, Jorge and Munoz, Roberto and Ochoa, Xavier},\n\tmonth = sep,\n\tyear = {2024},\n\tpages = {1837--1840},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/NHNHFM9V/file/view}\n}\n\n\n\n
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\n  \n 2023\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Instructor-in-the-Loop Exploratory Analytics to Support Group Work.\n \n \n \n \n\n\n \n Lewis, A.; Ochoa, X.; and Qamra, R.\n\n\n \n\n\n\n In LAK23: 13th International Learning Analytics and Knowledge Conference, pages 284–292, Arlington TX USA, March 2023. ACM\n \n\n\n\n
\n\n\n\n \n \n \"Instructor-in-the-LoopPaper\n  \n \n \n \"Instructor-in-the-Loop paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lewis_instructor---loop_2023,\n\taddress = {Arlington TX USA},\n\ttitle = {Instructor-in-the-{Loop} {Exploratory} {Analytics} to {Support} {Group} {Work}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-9865-7},\n\turl = {https://dl.acm.org/doi/10.1145/3576050.3576093},\n\tdoi = {10.1145/3576050.3576093},\n\tlanguage = {en},\n\turldate = {2025-02-11},\n\tbooktitle = {{LAK23}: 13th {International} {Learning} {Analytics} and {Knowledge} {Conference}},\n\tpublisher = {ACM},\n\tauthor = {Lewis, Armanda and Ochoa, Xavier and Qamra, Rohini},\n\tmonth = mar,\n\tyear = {2023},\n\tpages = {284--292},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/YMELVRWY/file/view}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Aligning the goals of learning analytics with its research scholarship: An open peer commentary approach.\n \n \n \n \n\n\n \n Ferguson, R.; Khosravi, H.; Kovanović, V.; Viberg, O.; Aggarwal, A.; Brinkhuis, M.; Buckingham Shum, S.; Chen, L. K.; Drachsler, H.; and Guerrero, V. A.\n\n\n \n\n\n\n Journal of Learning Analytics, 10(2): 14–50. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"AligningPaper\n  \n \n \n \"Aligning paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ferguson_aligning_2023,\n\ttitle = {Aligning the goals of learning analytics with its research scholarship: {An} open peer commentary approach},\n\tvolume = {10},\n\tcopyright = {All rights reserved},\n\tshorttitle = {Aligning the goals of learning analytics with its research scholarship},\n\turl = {https://oro.open.ac.uk/92113/},\n\tnumber = {2},\n\turldate = {2025-02-11},\n\tjournal = {Journal of Learning Analytics},\n\tauthor = {Ferguson, Rebecca and Khosravi, Hassan and Kovanović, Vitomir and Viberg, Olga and Aggarwal, Ashish and Brinkhuis, Mattheiu and Buckingham Shum, Simon and Chen, Lujie Karen and Drachsler, Hendrik and Guerrero, Valerie A.},\n\tyear = {2023},\n\tpages = {14--50},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/XCP8Q93G/file/view}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Supporting Online Collaborative Work at Scale: A Mixed-Methods Study of a Learning Analytics Tool.\n \n \n \n \n\n\n \n Ochoa, X.; Echeverria, V.; Carrillo, G.; Heredia, V.; and Chiluiza, K.\n\n\n \n\n\n\n In Proceedings of the Tenth ACM Conference on Learning @ Scale, pages 237–247, Copenhagen Denmark, July 2023. ACM\n \n\n\n\n
\n\n\n\n \n \n \"SupportingPaper\n  \n \n \n \"Supporting paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{ochoa_supporting_2023,\n\taddress = {Copenhagen Denmark},\n\ttitle = {Supporting {Online} {Collaborative} {Work} at {Scale}: {A} {Mixed}-{Methods} {Study} of a {Learning} {Analytics} {Tool}},\n\tcopyright = {All rights reserved},\n\tisbn = {979-8-4007-0025-5},\n\tshorttitle = {Supporting {Online} {Collaborative} {Work} at {Scale}},\n\turl = {https://dl.acm.org/doi/10.1145/3573051.3596165},\n\tdoi = {10.1145/3573051.3596165},\n\tlanguage = {en},\n\turldate = {2025-02-11},\n\tbooktitle = {Proceedings of the {Tenth} {ACM} {Conference} on {Learning} @ {Scale}},\n\tpublisher = {ACM},\n\tauthor = {Ochoa, Xavier and Echeverria, Vanessa and Carrillo, Gladys and Heredia, Vanessa and Chiluiza, Katherine},\n\tmonth = jul,\n\tyear = {2023},\n\tpages = {237--247},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/DVLX5WFT/file/view}\n}\n\n\n\n
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\n  \n 2022\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n \n Multimodal learning analytics-Rationale, process, examples, and direction.\n \n \n \n \n\n\n \n Ochoa, X.; Lang, C.; Siemens, G.; Wise, A.; Gasevic, D.; and Merceron, A.\n\n\n \n\n\n\n The handbook of learning analytics,54–65. 2022.\n Publisher: Soc. Learn. Analytics Res. Beaumont, Alberta, Canada\n\n\n\n
\n\n\n\n \n \n \"MultimodalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ochoa_multimodal_2022,\n\ttitle = {Multimodal learning analytics-{Rationale}, process, examples, and direction},\n\tcopyright = {All rights reserved},\n\turl = {https://www.researchgate.net/profile/Dragan-Gasevic/publication/371697857_The_Handbook_of_Learning_Analytics_Second_edition/links/6641dd5a06ea3d0b7461447b/The-Handbook-of-Learning-Analytics-Second-edition.pdf#page=55},\n\turldate = {2025-02-11},\n\tjournal = {The handbook of learning analytics},\n\tauthor = {Ochoa, Xavier and Lang, Charles and Siemens, George and Wise, Alyssa and Gasevic, Dragan and Merceron, Agathe},\n\tyear = {2022},\n\tnote = {Publisher: Soc. Learn. Analytics Res. Beaumont, Alberta, Canada},\n\tpages = {54--65},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n CROSSMMLA & SLE Workshop: Learning Analytics for Smart Learning Environments Crossing Physical and Virtual Learning Spaces.\n \n \n \n \n\n\n \n Spikol, D.; Lorenzo, M. L. B.; Cukurova, M.; Lavoue, E.; Giannakos, M.; Ochoa, X.; Di Mitri, D.; and Hernandez-Leo, D.\n\n\n \n\n\n\n Companion Proceedings of the 12th,173. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"CROSSMMLAPaper\n  \n \n \n \"CROSSMMLA paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{spikol_crossmmla_2022,\n\ttitle = {{CROSSMMLA} \\& {SLE} {Workshop}: {Learning} {Analytics} for {Smart} {Learning} {Environments} {Crossing} {Physical} and {Virtual} {Learning} {Spaces}},\n\tcopyright = {All rights reserved},\n\tshorttitle = {{CROSSMMLA} \\& {SLE} {Workshop}},\n\turl = {https://www.zora.uzh.ch/id/eprint/218604/1/LAK22_CompanionProceedings.pdf#page=184},\n\turldate = {2025-02-11},\n\tjournal = {Companion Proceedings of the 12th},\n\tauthor = {Spikol, Daniel and Lorenzo, Miguel L. Bote and Cukurova, Multu and Lavoue, Elise and Giannakos, Michail and Ochoa, Xavier and Di Mitri, Daniele and Hernandez-Leo, Davinia},\n\tyear = {2022},\n\tpages = {173},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/6C8R385L/file/view}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n An Exploratory Evaluation of a Collaboration Feedback Report.\n \n \n \n \n\n\n \n Echeverria, V.; Wong-Villacres, M.; Ochoa, X.; and Chiluiza, K.\n\n\n \n\n\n\n In LAK22: 12th International Learning Analytics and Knowledge Conference, pages 478–484, Online USA, March 2022. ACM\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n \n \"An paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{echeverria_exploratory_2022,\n\taddress = {Online USA},\n\ttitle = {An {Exploratory} {Evaluation} of a {Collaboration} {Feedback} {Report}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-9573-1},\n\turl = {https://dl.acm.org/doi/10.1145/3506860.3506890},\n\tdoi = {10.1145/3506860.3506890},\n\tlanguage = {en},\n\turldate = {2025-02-11},\n\tbooktitle = {{LAK22}: 12th {International} {Learning} {Analytics} and {Knowledge} {Conference}},\n\tpublisher = {ACM},\n\tauthor = {Echeverria, Vanessa and Wong-Villacres, Marisol and Ochoa, Xavier and Chiluiza, Katherine},\n\tmonth = mar,\n\tyear = {2022},\n\tpages = {478--484},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/6USW3YFZ/file/view}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Towards a Pragmatic and Theory-Driven Framework for Multimodal Collaboration Feedback.\n \n \n \n \n\n\n \n Boothe, M.; Yu, C.; Lewis, A.; and Ochoa, X.\n\n\n \n\n\n\n In LAK22: 12th International Learning Analytics and Knowledge Conference, pages 507–513, Online USA, March 2022. ACM\n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n \n \"Towards paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{boothe_towards_2022,\n\taddress = {Online USA},\n\ttitle = {Towards a {Pragmatic} and {Theory}-{Driven} {Framework} for {Multimodal} {Collaboration} {Feedback}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-9573-1},\n\turl = {https://dl.acm.org/doi/10.1145/3506860.3506898},\n\tdoi = {10.1145/3506860.3506898},\n\tlanguage = {en},\n\turldate = {2025-02-11},\n\tbooktitle = {{LAK22}: 12th {International} {Learning} {Analytics} and {Knowledge} {Conference}},\n\tpublisher = {ACM},\n\tauthor = {Boothe, Maurice and Yu, Collin and Lewis, Armanda and Ochoa, Xavier},\n\tmonth = mar,\n\tyear = {2022},\n\tpages = {507--513},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/F2H2AHGJ/file/view}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Multimodal Systems for Automated Oral Presentation Feedback: A Comparative Analysis.\n \n \n \n \n\n\n \n Ochoa, X.\n\n\n \n\n\n\n In Giannakos, M.; Spikol, D.; Di Mitri, D.; Sharma, K.; Ochoa, X.; and Hammad, R., editor(s), The Multimodal Learning Analytics Handbook, pages 53–78. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"MultimodalPaper\n  \n \n \n \"Multimodal paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{giannakos_multimodal_2022,\n\taddress = {Cham},\n\ttitle = {Multimodal {Systems} for {Automated} {Oral} {Presentation} {Feedback}: {A} {Comparative} {Analysis}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-031-08075-3 978-3-031-08076-0},\n\tshorttitle = {Multimodal {Systems} for {Automated} {Oral} {Presentation} {Feedback}},\n\turl = {https://link.springer.com/10.1007/978-3-031-08076-0_3},\n\tlanguage = {en},\n\turldate = {2025-02-11},\n\tbooktitle = {The {Multimodal} {Learning} {Analytics} {Handbook}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Ochoa, Xavier},\n\teditor = {Giannakos, Michail and Spikol, Daniel and Di Mitri, Daniele and Sharma, Kshitij and Ochoa, Xavier and Hammad, Rawad},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08076-0_3},\n\tpages = {53--78},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/23FKWCRJ/file/view}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n The Multimodal Learning Analytics Handbook.\n \n \n \n \n\n\n \n Giannakos, M.; Spikol, D.; Di Mitri, D.; Sharma, K.; Ochoa, X.; and Hammad, R.,\n editors.\n \n\n\n \n\n\n\n Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{giannakos_multimodal_2022,\n\taddress = {Cham},\n\ttitle = {The {Multimodal} {Learning} {Analytics} {Handbook}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-031-08075-3 978-3-031-08076-0},\n\turl = {https://link.springer.com/10.1007/978-3-031-08076-0},\n\tlanguage = {en},\n\turldate = {2025-02-11},\n\tpublisher = {Springer International Publishing},\n\teditor = {Giannakos, Michail and Spikol, Daniel and Di Mitri, Daniele and Sharma, Kshitij and Ochoa, Xavier and Hammad, Rawad},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08076-0},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Learning analytics: Practitioners, take note.\n \n \n \n \n\n\n \n Ferguson, R.; Ochoa, X.; and Kovanović, V.\n\n\n \n\n\n\n Journal of Learning Analytics, 9(3): 1–7. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"LearningPaper\n  \n \n \n \"Learning paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ferguson_learning_2022,\n\ttitle = {Learning analytics: {Practitioners}, take note},\n\tvolume = {9},\n\tcopyright = {All rights reserved},\n\tshorttitle = {Learning analytics},\n\turl = {https://oro.open.ac.uk/86647/},\n\tnumber = {3},\n\turldate = {2025-02-11},\n\tjournal = {Journal of Learning Analytics},\n\tauthor = {Ferguson, Rebecca and Ochoa, Xavier and Kovanović, Vitomir},\n\tyear = {2022},\n\tpages = {1--7},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/NATTGE6H/file/view}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Introduction to Multimodal Learning Analytics.\n \n \n \n \n\n\n \n Giannakos, M.; Spikol, D.; Di Mitri, D.; Sharma, K.; Ochoa, X.; and Hammad, R.\n\n\n \n\n\n\n In Giannakos, M.; Spikol, D.; Di Mitri, D.; Sharma, K.; Ochoa, X.; and Hammad, R., editor(s), The Multimodal Learning Analytics Handbook, pages 3–28. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"IntroductionPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@incollection{giannakos_introduction_2022,\n\taddress = {Cham},\n\ttitle = {Introduction to {Multimodal} {Learning} {Analytics}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-031-08075-3 978-3-031-08076-0},\n\turl = {https://link.springer.com/10.1007/978-3-031-08076-0_1},\n\tlanguage = {en},\n\turldate = {2025-02-11},\n\tbooktitle = {The {Multimodal} {Learning} {Analytics} {Handbook}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Giannakos, Michail and Spikol, Daniel and Di Mitri, Daniele and Sharma, Kshitij and Ochoa, Xavier and Hammad, Rawad},\n\teditor = {Giannakos, Michail and Spikol, Daniel and Di Mitri, Daniele and Sharma, Kshitij and Ochoa, Xavier and Hammad, Rawad},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08076-0_1},\n\tpages = {3--28},\n}\n\n\n\n
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\n  \n 2021\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n Bridging the gap between theory and tool: A pragmatic framework for multimodal collaboration feedback.\n \n \n \n \n\n\n \n Boothe, M.; Yu, C.; and Ochoa, X.\n\n\n \n\n\n\n In Companion Proceedings of the 11th International Conference on Learning Analytics & Knowledge LAK20; SOLAR: Newport Beach, CA, USA, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"BridgingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{boothe_bridging_2021,\n\ttitle = {Bridging the gap between theory and tool: {A} pragmatic framework for multimodal collaboration feedback},\n\tcopyright = {All rights reserved},\n\tshorttitle = {Bridging the gap between theory and tool},\n\turl = {https://www.researchgate.net/profile/Maurice-Boothe-Jr/publication/350845200_Bridging_the_Gap_Between_Theory_and_Tool_A_Pragmatic_Framework_for_Multimodal_Collaboration_Feedback/links/6075a4ada5c0b34b72aceaac/Bridging-the-Gap-Between-Theory-and-Tool-A-Pragmatic-Framework-for-Multimodal-Collaboration-Feedback.pdf},\n\turldate = {2025-02-11},\n\tbooktitle = {Companion {Proceedings} of the 11th {International} {Conference} on {Learning} {Analytics} \\& {Knowledge} {LAK20}; {SOLAR}: {Newport} {Beach}, {CA}, {USA}},\n\tauthor = {Boothe, M. and Yu, Collin and Ochoa, Xavier},\n\tyear = {2021},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n CROSSMMLA Futures: Collecting and analysing multimodal data across the physical and the virtual.\n \n \n \n \n\n\n \n Spikol, D.; Ochoa, X.; Worsley, M.; Di Mitri, D.; Cukurova, M.; Martinez-Maldonado, R.; and Schneider, J.\n\n\n \n\n\n\n In https://www. solaresearch. org/wp-content/uploads/2021/04/LAK21_CompanionProceedings. pdf, volume 2021, 2021. 11th International Learning Analytics and Knowledge Conference (LAK’21)\n \n\n\n\n
\n\n\n\n \n \n \"CROSSMMLAPaper\n  \n \n \n \"CROSSMMLA paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{spikol_crossmmla_2021,\n\ttitle = {{CROSSMMLA} {Futures}: {Collecting} and analysing multimodal data across the physical and the virtual},\n\tvolume = {2021},\n\tcopyright = {All rights reserved},\n\tshorttitle = {{CROSSMMLA} {Futures}},\n\turl = {https://discovery.ucl.ac.uk/id/eprint/10126482/},\n\turldate = {2025-02-11},\n\tbooktitle = {https://www. solaresearch. org/wp-content/uploads/2021/04/{LAK21}\\_CompanionProceedings. pdf},\n\tpublisher = {11th International Learning Analytics and Knowledge Conference (LAK’21)},\n\tauthor = {Spikol, Daniel and Ochoa, Xavier and Worsley, M. and Di Mitri, Daniele and Cukurova, Mutlu and Martinez-Maldonado, Roberto and Schneider, Jan},\n\tyear = {2021},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/QHRHRWPN/file/view}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Supporting the shift to digital with student-centered learning analytics.\n \n \n \n \n\n\n \n Ochoa, X.; and Wise, A. F.\n\n\n \n\n\n\n Educational Technology Research and Development, 69(1): 357–361. February 2021.\n \n\n\n\n
\n\n\n\n \n \n \"SupportingPaper\n  \n \n \n \"Supporting paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ochoa_supporting_2021,\n\ttitle = {Supporting the shift to digital with student-centered learning analytics},\n\tvolume = {69},\n\tcopyright = {All rights reserved},\n\tissn = {1042-1629, 1556-6501},\n\turl = {http://link.springer.com/10.1007/s11423-020-09882-2},\n\tdoi = {10.1007/s11423-020-09882-2},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2025-02-11},\n\tjournal = {Educational Technology Research and Development},\n\tauthor = {Ochoa, Xavier and Wise, Alyssa Friend},\n\tmonth = feb,\n\tyear = {2021},\n\tpages = {357--361},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/NYWWJQBD/file/view}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Iguales en las diferencias: iniciativas de investigación transnacionales sobre Informática Educativa en Latinoamérica en el periodo 2010-2020.\n \n \n \n \n\n\n \n Silveira, I. F.; Casali, A.; Bezeira, A. V. M.; Sprock, A. S.; Collazos, C. A.; Cechinel, C.; Muñoz-Arteaga, J.; Maldonado-Mahauad, J.; Chacón-Rivas, M.; and Motz, R.\n\n\n \n\n\n\n Revista Brasileira de Informática na Educação, 29: 1060–1090. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"IgualesPaper\n  \n \n \n \"Iguales paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{silveira_iguales_2021,\n\ttitle = {Iguales en las diferencias: iniciativas de investigación transnacionales sobre {Informática} {Educativa} en {Latinoamérica} en el periodo 2010-2020},\n\tvolume = {29},\n\tcopyright = {All rights reserved},\n\tshorttitle = {Iguales en las diferencias},\n\turl = {https://journals-sol.sbc.org.br/index.php/rbie/article/view/3513},\n\turldate = {2025-02-11},\n\tjournal = {Revista Brasileira de Informática na Educação},\n\tauthor = {Silveira, Ismar Frango and Casali, Ana and Bezeira, Ana Verónica Morales and Sprock, Antonio Silva and Collazos, Cesar Alberto and Cechinel, Cristian and Muñoz-Arteaga, Jaime and Maldonado-Mahauad, Jorge and Chacón-Rivas, Mario and Motz, Regina},\n\tyear = {2021},\n\tpages = {1060--1090},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/VG5VDF7J/file/view}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Scaling and adopting a multimodal learning analytics application in an institution-wide setting.\n \n \n \n \n\n\n \n Dominguez, F.; Ochoa, X.; Zambrano, D.; Camacho, K.; and Castells, J.\n\n\n \n\n\n\n IEEE Transactions on Learning Technologies, 14(3): 400–414. 2021.\n Publisher: IEEE\n\n\n\n
\n\n\n\n \n \n \"ScalingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{dominguez_scaling_2021,\n\ttitle = {Scaling and adopting a multimodal learning analytics application in an institution-wide setting},\n\tvolume = {14},\n\tcopyright = {All rights reserved},\n\turl = {https://ieeexplore.ieee.org/abstract/document/9502002/},\n\tnumber = {3},\n\turldate = {2025-02-11},\n\tjournal = {IEEE Transactions on Learning Technologies},\n\tauthor = {Dominguez, Federico and Ochoa, Xavier and Zambrano, Dick and Camacho, Katherine and Castells, Jaime},\n\tyear = {2021},\n\tnote = {Publisher: IEEE},\n\tpages = {400--414},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n What makes learning analytics research matter.\n \n \n \n \n\n\n \n Wise, A. F.; Knight, S.; and Ochoa, X.\n\n\n \n\n\n\n Journal of Learning Analytics, 8(3): 1–9. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"WhatPaper\n  \n \n \n \"What paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{wise_what_2021,\n\ttitle = {What makes learning analytics research matter},\n\tvolume = {8},\n\tcopyright = {All rights reserved},\n\turl = {https://learning-analytics.info/index.php/JLA/article/view/7647},\n\tnumber = {3},\n\turldate = {2025-02-11},\n\tjournal = {Journal of Learning Analytics},\n\tauthor = {Wise, Alyssa F. and Knight, Simon and Ochoa, Xavier},\n\tyear = {2021},\n\tpages = {1--9},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/CP4Y4IGP/file/view}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Scaling and Adopting a Multimodal Learning Analytics Application in an Institution-Wide Setting.\n \n \n \n \n\n\n \n Domínguez, F.; Ochoa, X.; Zambrano, D.; Camacho, K.; and Castells, J.\n\n\n \n\n\n\n IEEE Transactions on Learning Technologies, 14(3): 400–414. 2021.\n Conference Name: IEEE Transactions on Learning Technologies\n\n\n\n
\n\n\n\n \n \n \"Scaling paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{dominguez_scaling_2021,\n\ttitle = {Scaling and {Adopting} a {Multimodal} {Learning} {Analytics} {Application} in an {Institution}-{Wide} {Setting}},\n\tvolume = {14},\n\tcopyright = {All rights reserved},\n\tissn = {1939-1382},\n\tdoi = {10.1109/TLT.2021.3100778},\n\tabstract = {Multimodal learning analytics, which is collection, analysis, and report of diverse learning traces to better understand and improve the learning process, has been producing a series of interesting prototypes to analyze learning activities that were previously hard to objectively evaluate. However, none of these prototypes have been taken out of the laboratory and integrated into real learning settings. This article is the first to propose, execute, and evaluate a process to scale and deploy one of these applications, an automated oral presentation feedback system, into an institution-wide setting. Technological, logistical, and pedagogical challenges and adaptations are discussed. An evaluation of the use and effectiveness of the deployment shows both successful adoption and moderate learning gains, especially for low-performing students. In addition, the recording and summarizing of the perception of both instructors and students point to a generally positive experience in spite of the common problems of a first-generation deployment of a complex learning technology.},\n\tnumber = {3},\n\tjournal = {IEEE Transactions on Learning Technologies},\n\tauthor = {Domínguez, Federico and Ochoa, Xavier and Zambrano, Dick and Camacho, Katherine and Castells, Jaime},\n\tyear = {2021},\n\tnote = {Conference Name: IEEE Transactions on Learning Technologies},\n\tpages = {400--414},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/PE2CYGB6/file/view}\n}\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n
\n\n\n
\n Multimodal learning analytics, which is collection, analysis, and report of diverse learning traces to better understand and improve the learning process, has been producing a series of interesting prototypes to analyze learning activities that were previously hard to objectively evaluate. However, none of these prototypes have been taken out of the laboratory and integrated into real learning settings. This article is the first to propose, execute, and evaluate a process to scale and deploy one of these applications, an automated oral presentation feedback system, into an institution-wide setting. Technological, logistical, and pedagogical challenges and adaptations are discussed. An evaluation of the use and effectiveness of the deployment shows both successful adoption and moderate learning gains, especially for low-performing students. In addition, the recording and summarizing of the perception of both instructors and students point to a generally positive experience in spite of the common problems of a first-generation deployment of a complex learning technology.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Iguales en las diferencias: iniciativas de investigación transnacionales sobre Informática Educativa en Latinoamérica en el periodo 2010-2020.\n \n \n \n \n\n\n \n Silveira, I. F.; Casali, A.; Bezeira, A. V. M.; Sprock, A. S.; Collazos, C. A.; Cechinel, C.; Muñoz-Arteaga, J.; Maldonado-Mahauad, J.; Chacón-Rivas, M.; Motz, R.; Rodés-Paragarino, V.; and Ochoa, X.\n\n\n \n\n\n\n Revista Brasileira de Informática na Educação, 29(0): 1060–1090. 2021.\n Number: 0\n\n\n\n
\n\n\n\n \n \n \"IgualesPaper\n  \n \n \n \"Iguales paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{silveira_iguales_2021,\n\ttitle = {Iguales en las diferencias: iniciativas de investigación transnacionales sobre {Informática} {Educativa} en {Latinoamérica} en el periodo 2010-2020},\n\tvolume = {29},\n\tcopyright = {All rights reserved},\n\tissn = {2317-6121},\n\tshorttitle = {Iguales en las diferencias},\n\turl = {http://www.br-ie.org/pub/index.php/rbie/article/view/v29p1060},\n\tdoi = {10.5753/rbie.2021.29.0.1060},\n\tabstract = {Es sabido que América Latina es la región más desigual del planeta.  Para hacer frente a la realidad, una de las cuestiones clave es impulsar la colaboración en la región, que permitan que la innovación y el conocimiento sean instrumentos fundamentales para erradicar la pobreza, combatir el hambre y mejorar la salud, así como para alcanzar un desarrollo sostenible, integrado, inclusivo y equitativo de la región. Este articulo presenta algunas iniciativas en el ámbito latinoamericano en el periodo 2010-2020, en la intersección entre la Computación y la Educación, que han surgido como redes colaborativas para fomentar la educación apoyados con las Tecnologías de la Información y Comunicación. En ese sentido, desafíos de investigación en el campo de la Informática Educativa son planteados y las perspectivas para nuevas colaboraciones posibles son delineadas.},\n\tlanguage = {es},\n\tnumber = {0},\n\turldate = {2021-10-18},\n\tjournal = {Revista Brasileira de Informática na Educação},\n\tauthor = {Silveira, Ismar Frango and Casali, Ana and Bezeira, Ana Verónica Morales and Sprock, Antonio Silva and Collazos, Cesar Alberto and Cechinel, Cristian and Muñoz-Arteaga, Jaime and Maldonado-Mahauad, Jorge and Chacón-Rivas, Mario and Motz, Regina and Rodés-Paragarino, Virginia and Ochoa, Xavier},\n\tyear = {2021},\n\tnote = {Number: 0},\n\tpages = {1060--1090},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/XAMZZQ5W/file/view}\n}\n\n\n\n
\n
\n\n\n
\n Es sabido que América Latina es la región más desigual del planeta.  Para hacer frente a la realidad, una de las cuestiones clave es impulsar la colaboración en la región, que permitan que la innovación y el conocimiento sean instrumentos fundamentales para erradicar la pobreza, combatir el hambre y mejorar la salud, así como para alcanzar un desarrollo sostenible, integrado, inclusivo y equitativo de la región. Este articulo presenta algunas iniciativas en el ámbito latinoamericano en el periodo 2010-2020, en la intersección entre la Computación y la Educación, que han surgido como redes colaborativas para fomentar la educación apoyados con las Tecnologías de la Información y Comunicación. En ese sentido, desafíos de investigación en el campo de la Informática Educativa son planteados y las perspectivas para nuevas colaboraciones posibles son delineadas.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Supporting the shift to digital with student-centered learning analytics.\n \n \n \n \n\n\n \n Ochoa, X.; and Wise, A. F.\n\n\n \n\n\n\n Educational Technology Research and Development, 69(1): 357–361. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"SupportingPaper\n  \n \n \n \"Supporting paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ochoa_supporting_2021,\n\ttitle = {Supporting the shift to digital with student-centered learning analytics},\n\tvolume = {69},\n\tcopyright = {All rights reserved},\n\tissn = {1556-6501},\n\turl = {https://doi.org/10.1007/s11423-020-09882-2},\n\tdoi = {10.1007/s11423-020-09882-2},\n\tabstract = {This paper is in response to the manuscript entitled “Student perceptions of privacy principles for learning analytics” (Ifenthaler and Schumacher, Student perceptions of privacy principles for learning analytics. Educational Technology Research and Development, 64(5), 923–938, 2016) from a practice perspective. Learning analytics (the use of data science methods to generate actionable educational insights) have great potential to impact learning practices during the shift to digital. In particular, they can help fill a critical information gap for students created by an absence of classroom-based cues and the need for increased self-regulation in the online environment, However the adoption of learning analytics in effective, ethical and responsible ways is non-trivial. Ifenthaler and Schumacher (2016) present important findings about students’ perceptions of learning analytics’ usefulness and privacy, signaling the need for a student-centered paradigm, but stop short of addressing its implications for the creation and adoption of learning analytics tools. In this paper we address this limitation by describing the three specific shifts needed in current learning analytics practice for analytics to be accepted by and effective for students: (1) involve students in the creation of analytic tools meant to serve them; (2) develop analytics that are contextualized, explainable and configurable; and (3) empower students’ agency in using analytic tools as part of their larger process of learning. These shifts are currently in different stages of maturity and adoption in mainstream learning analytics practice. The primary implication of this work is a call to action for researchers and practitioners to rethink and reshape how students participate in the creation, interpretation and impact of learning analytics.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2021-10-18},\n\tjournal = {Educational Technology Research and Development},\n\tauthor = {Ochoa, Xavier and Wise, Alyssa Friend},\n\tyear = {2021},\n\tpages = {357--361},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/X4ELV4AW/file/view}\n}\n\n\n\n
\n
\n\n\n
\n This paper is in response to the manuscript entitled “Student perceptions of privacy principles for learning analytics” (Ifenthaler and Schumacher, Student perceptions of privacy principles for learning analytics. Educational Technology Research and Development, 64(5), 923–938, 2016) from a practice perspective. Learning analytics (the use of data science methods to generate actionable educational insights) have great potential to impact learning practices during the shift to digital. In particular, they can help fill a critical information gap for students created by an absence of classroom-based cues and the need for increased self-regulation in the online environment, However the adoption of learning analytics in effective, ethical and responsible ways is non-trivial. Ifenthaler and Schumacher (2016) present important findings about students’ perceptions of learning analytics’ usefulness and privacy, signaling the need for a student-centered paradigm, but stop short of addressing its implications for the creation and adoption of learning analytics tools. In this paper we address this limitation by describing the three specific shifts needed in current learning analytics practice for analytics to be accepted by and effective for students: (1) involve students in the creation of analytic tools meant to serve them; (2) develop analytics that are contextualized, explainable and configurable; and (3) empower students’ agency in using analytic tools as part of their larger process of learning. These shifts are currently in different stages of maturity and adoption in mainstream learning analytics practice. The primary implication of this work is a call to action for researchers and practitioners to rethink and reshape how students participate in the creation, interpretation and impact of learning analytics.\n
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\n  \n 2020\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n \n Learning Analytics Impact: Critical Conversations on Relevance and Social Responsibility.\n \n \n \n \n\n\n \n Ochoa, X.; Knight, S.; and Wise, A. F.\n\n\n \n\n\n\n Journal of Learning Analytics, 7(3): 1–5. 2020.\n Number: 3\n\n\n\n
\n\n\n\n \n \n \"LearningPaper\n  \n \n \n \"Learning paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ochoa_learning_2020,\n\ttitle = {Learning {Analytics} {Impact}: {Critical} {Conversations} on {Relevance} and {Social} {Responsibility}},\n\tvolume = {7},\n\tcopyright = {All rights reserved},\n\tissn = {1929-7750},\n\tshorttitle = {Learning {Analytics} {Impact}},\n\turl = {https://learning-analytics.info/index.php/JLA/article/view/7403},\n\tdoi = {10.18608/jla.2020.73.1},\n\tabstract = {Our 2019 editorial opened a dialogue about what is needed to foster an impactful field of learning analytics (Knight, Wise, \\&amp; Ochoa, 2019). As we head toward the close of a tumultuous year that has raised profound questions about the structure and processes of formal education and its role in society, this conversation is more relevant than ever. That editorial, and a recent online community event, focused on one component of the impact: standards for scientific rigour and the criteria by which knowledge claims in an interdisciplinary, multi-methodology field should be judged. These initial conversations revealed important commonalities across statistical, computational, and qualitative approaches in terms of a need for greater explanation and justification of choices in using appropriate data, models, or other methodological approaches, as well as the many micro-decisions made in applying specific methodologies to specific studies. The conversations also emphasize the need to perform different checks (for overfitting, for bias, for replicability, for the contextual bounds of applicability, for disconfirming cases) and the importance of learning analytics research being relevant by situating itself within a set of educational values, making tighter connections to theory, and considering its practical mobilization to affect learning. These ideas will serve as the starting point for a series of detailed follow-up conversations across the community, with the goal of generating updated standards and guidance for JLA articles.},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2021-10-18},\n\tjournal = {Journal of Learning Analytics},\n\tauthor = {Ochoa, Xavier and Knight, Simon and Wise, Alyssa Friend},\n\tyear = {2020},\n\tnote = {Number: 3},\n\tpages = {1--5},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/8VQHXK5Z/file/view}\n}\n\n\n\n
\n
\n\n\n
\n Our 2019 editorial opened a dialogue about what is needed to foster an impactful field of learning analytics (Knight, Wise, & Ochoa, 2019). As we head toward the close of a tumultuous year that has raised profound questions about the structure and processes of formal education and its role in society, this conversation is more relevant than ever. That editorial, and a recent online community event, focused on one component of the impact: standards for scientific rigour and the criteria by which knowledge claims in an interdisciplinary, multi-methodology field should be judged. These initial conversations revealed important commonalities across statistical, computational, and qualitative approaches in terms of a need for greater explanation and justification of choices in using appropriate data, models, or other methodological approaches, as well as the many micro-decisions made in applying specific methodologies to specific studies. The conversations also emphasize the need to perform different checks (for overfitting, for bias, for replicability, for the contextual bounds of applicability, for disconfirming cases) and the importance of learning analytics research being relevant by situating itself within a set of educational values, making tighter connections to theory, and considering its practical mobilization to affect learning. These ideas will serve as the starting point for a series of detailed follow-up conversations across the community, with the goal of generating updated standards and guidance for JLA articles.\n
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\n \n\n \n \n \n \n \n \n LADA: A learning analytics dashboard for academic advising.\n \n \n \n \n\n\n \n Gutiérrez, F.; Seipp, K.; Ochoa, X.; Chiluiza, K.; De Laet, T.; and Verbert, K.\n\n\n \n\n\n\n Computers in Human Behavior, 107: 105826. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"LADA:Paper\n  \n \n \n \"LADA: paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{gutierrez_lada:_2020,\n\ttitle = {{LADA}: {A} learning analytics dashboard for academic advising},\n\tvolume = {107},\n\tcopyright = {All rights reserved},\n\tissn = {0747-5632},\n\tshorttitle = {{LADA}},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0747563218305909},\n\tdoi = {10.1016/j.chb.2018.12.004},\n\tabstract = {From the perspective of Learning and Educational Technologies, academic advising has been one of the most overlooked aspects of academic support systems, despite being critical for the learning process and final success of students. The majority of higher education institutions provides simple technical support to academic advisers with basic descriptive statistics. This article presents the general design and implementation of a Learning Analytics Dashboard for Advisers (LADA), to support the decision-making process of academic advisers through comparative and predictive analysis. Moreover, this work evaluates the use of this tool to support decision-making of actual advisers in two different higher education institutions (University A, University B), compared with more traditional procedures and tools. Results indicate that LADA enables expert advisers to evaluate significantly more scenarios (Median = 2), especially for high advising difficulty cases with students that failed many courses (MedianA=3,MedianB=2.5), in a not-significantly different amount of time. For inexperienced advisers, LADA is perceived as a valuable tool for more accurate and efficient decision-making, as they were able to make informed decisions in a similar amount of time compared to the experts. These results are encouraging for further developments in the field.},\n\tlanguage = {en},\n\turldate = {2021-10-18},\n\tjournal = {Computers in Human Behavior},\n\tauthor = {Gutiérrez, Francisco and Seipp, Karsten and Ochoa, Xavier and Chiluiza, Katherine and De Laet, Tinne and Verbert, Katrien},\n\tyear = {2020},\n\tpages = {105826},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/U2SJVRGA/file/view}\n}\n\n\n\n
\n
\n\n\n
\n From the perspective of Learning and Educational Technologies, academic advising has been one of the most overlooked aspects of academic support systems, despite being critical for the learning process and final success of students. The majority of higher education institutions provides simple technical support to academic advisers with basic descriptive statistics. This article presents the general design and implementation of a Learning Analytics Dashboard for Advisers (LADA), to support the decision-making process of academic advisers through comparative and predictive analysis. Moreover, this work evaluates the use of this tool to support decision-making of actual advisers in two different higher education institutions (University A, University B), compared with more traditional procedures and tools. Results indicate that LADA enables expert advisers to evaluate significantly more scenarios (Median = 2), especially for high advising difficulty cases with students that failed many courses (MedianA=3,MedianB=2.5), in a not-significantly different amount of time. For inexperienced advisers, LADA is perceived as a valuable tool for more accurate and efficient decision-making, as they were able to make informed decisions in a similar amount of time compared to the experts. These results are encouraging for further developments in the field.\n
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\n \n\n \n \n \n \n \n \n Learning analytics dashboards: the past, the present and the future.\n \n \n \n \n\n\n \n Verbert, K.; Ochoa, X.; De Croon, R.; Dourado, R. A.; and De Laet, T.\n\n\n \n\n\n\n In Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, of LAK '20, pages 35–40, New York, NY, USA, 2020. Association for Computing Machinery\n \n\n\n\n
\n\n\n\n \n \n \"LearningPaper\n  \n \n \n \"Learning paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{verbert_learning_2020,\n\taddress = {New York, NY, USA},\n\tseries = {{LAK} '20},\n\ttitle = {Learning analytics dashboards: the past, the present and the future},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-7712-6},\n\tshorttitle = {Learning analytics dashboards},\n\turl = {https://doi.org/10.1145/3375462.3375504},\n\tdoi = {10.1145/3375462.3375504},\n\tabstract = {Learning analytics dashboards are at the core of the LAK vision to involve the human into the decision-making process. The key focus of these dashboards is to support better human sense-making and decision-making by visualising data about learners to a variety of stakeholders. Early research on learning analytics dashboards focused on the use of visualisation and prediction techniques and demonstrates the rich potential of dashboards in a variety of learning settings. Present research increasingly uses participatory design methods to tailor dashboards to the needs of stakeholders, employs multimodal data acquisition techniques, and starts to research theoretical underpinnings of dashboards. In this paper, we present these past and present research efforts as well as the results of the VISLA19 workshop on "Visual approaches to Learning Analytics" that was held at LAK19 with experts in the domain to identify and articulate common practices and challenges for the domain. Based on an analysis of the results, we present a research agenda to help shape the future of learning analytics dashboards.},\n\turldate = {2021-10-18},\n\tbooktitle = {Proceedings of the {Tenth} {International} {Conference} on {Learning} {Analytics} \\& {Knowledge}},\n\tpublisher = {Association for Computing Machinery},\n\tauthor = {Verbert, Katrien and Ochoa, Xavier and De Croon, Robin and Dourado, Raphael A. and De Laet, Tinne},\n\tyear = {2020},\n\tpages = {35--40},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/J73NLHZ7/file/view}\n}\n\n\n\n
\n
\n\n\n
\n Learning analytics dashboards are at the core of the LAK vision to involve the human into the decision-making process. The key focus of these dashboards is to support better human sense-making and decision-making by visualising data about learners to a variety of stakeholders. Early research on learning analytics dashboards focused on the use of visualisation and prediction techniques and demonstrates the rich potential of dashboards in a variety of learning settings. Present research increasingly uses participatory design methods to tailor dashboards to the needs of stakeholders, employs multimodal data acquisition techniques, and starts to research theoretical underpinnings of dashboards. In this paper, we present these past and present research efforts as well as the results of the VISLA19 workshop on \"Visual approaches to Learning Analytics\" that was held at LAK19 with experts in the domain to identify and articulate common practices and challenges for the domain. Based on an analysis of the results, we present a research agenda to help shape the future of learning analytics dashboards.\n
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\n \n\n \n \n \n \n \n \n Towards the implementation of a countrywide K-12 learning analytics initiative in Uruguay.\n \n \n \n \n\n\n \n Macarini, L. A.; Santos, H. L. d.; Cechinel, C.; Ochoa, X.; Rodés, V.; Casas, A. P.; Lucas, P. P.; Maya, R.; Alonso, G. E.; and Díaz, P.\n\n\n \n\n\n\n Interactive Learning Environments, 28(2): 166–190. 2020.\n Publisher: Routledge _eprint: https://doi.org/10.1080/10494820.2019.1636082\n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n \n \"Towards paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{macarini_towards_2020,\n\ttitle = {Towards the implementation of a countrywide {K}-12 learning analytics initiative in {Uruguay}},\n\tvolume = {28},\n\tcopyright = {All rights reserved},\n\tissn = {1049-4820},\n\turl = {https://doi.org/10.1080/10494820.2019.1636082},\n\tdoi = {10.1080/10494820.2019.1636082},\n\tabstract = {The present work describes the challenges faced during the development of a countrywide Learning Analytics study and tool focused on tracking and understanding the trajectories of Uruguayan students during their first three years of secondary education. Due to the large scale of the project, which covers an entire national educational system, several challenges and constraints were faced during its conception and development. Examples of key challenges were: to understand the different nuances of the educational system, to satisfy ethical and legal requirements without narrowing down the scope and potential novelty of the initiative and to deal with integration and inconsistencies in the databases. This paper presents the design decisions and solutions found to address or mitigate the problems found as a contribution to facilitate similar large-scale projects. Three main experiments using data mining were conducted and their results are also described, pointing out the feasibility of finding meaningful patterns that can be used by educational authorities to improve their decision making and foster public educational policies. Finally, the paper describes the use of the data and the findings of the study to create an interactive visual tool to explore the relationship between student variables, performance and persistence in the system.},\n\tnumber = {2},\n\turldate = {2021-10-18},\n\tjournal = {Interactive Learning Environments},\n\tauthor = {Macarini, Luiz Antonio and Santos, Henrique Lemos dos and Cechinel, Cristian and Ochoa, Xavier and Rodés, Virgínia and Casas, Alén Pérez and Lucas, Pedro Pablo and Maya, Ricardo and Alonso, Guillermo Ettlin and Díaz, Patricia},\n\tyear = {2020},\n\tnote = {Publisher: Routledge\n\\_eprint: https://doi.org/10.1080/10494820.2019.1636082},\n\tpages = {166--190},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/ZCULEZTY/file/view}\n}\n\n\n\n
\n
\n\n\n
\n The present work describes the challenges faced during the development of a countrywide Learning Analytics study and tool focused on tracking and understanding the trajectories of Uruguayan students during their first three years of secondary education. Due to the large scale of the project, which covers an entire national educational system, several challenges and constraints were faced during its conception and development. Examples of key challenges were: to understand the different nuances of the educational system, to satisfy ethical and legal requirements without narrowing down the scope and potential novelty of the initiative and to deal with integration and inconsistencies in the databases. This paper presents the design decisions and solutions found to address or mitigate the problems found as a contribution to facilitate similar large-scale projects. Three main experiments using data mining were conducted and their results are also described, pointing out the feasibility of finding meaningful patterns that can be used by educational authorities to improve their decision making and foster public educational policies. Finally, the paper describes the use of the data and the findings of the study to create an interactive visual tool to explore the relationship between student variables, performance and persistence in the system.\n
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\n \n\n \n \n \n \n \n \n Controlled evaluation of a multimodal system to improve oral presentation skills in a real learning setting.\n \n \n \n \n\n\n \n Ochoa, X.; and Dominguez, F.\n\n\n \n\n\n\n British Journal of Educational Technology, 51(5): 1615–1630. 2020.\n _eprint: https://bera-journals.onlinelibrary.wiley.com/doi/pdf/10.1111/bjet.12987\n\n\n\n
\n\n\n\n \n \n \"ControlledPaper\n  \n \n \n \"Controlled paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ochoa_controlled_2020,\n\ttitle = {Controlled evaluation of a multimodal system to improve oral presentation skills in a real learning setting},\n\tvolume = {51},\n\tcopyright = {All rights reserved},\n\tissn = {1467-8535},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1111/bjet.12987},\n\tdoi = {10.1111/bjet.12987},\n\tabstract = {Developing oral presentation skills requires both practice and expert feedback. Several systems have been developed during the last 20 years to provide ample practice opportunities and automated feedback for novice presenters. However, a comprehensive literature review discovered that none of those systems have been adequately evaluated in real learning settings. This work is the first randomised controlled evaluation of the impact that one of these systems has in developing oral presentation skills during a real semester-long learning activity with 180 students. The main findings are that (1) the development of different dimensions of the oral presentations are not affected equally by the automated feedback and (2) there is a small but statistically significant effect of the use of the tool when a subsequent presentation is evaluated by a human expert.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2021-10-18},\n\tjournal = {British Journal of Educational Technology},\n\tauthor = {Ochoa, Xavier and Dominguez, Federico},\n\tyear = {2020},\n\tnote = {\\_eprint: https://bera-journals.onlinelibrary.wiley.com/doi/pdf/10.1111/bjet.12987},\n\tpages = {1615--1630},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/B8SKVHE6/file/view}\n}\n\n\n\n\n\n\n\n\n\n\n\n
\n
\n\n\n
\n Developing oral presentation skills requires both practice and expert feedback. Several systems have been developed during the last 20 years to provide ample practice opportunities and automated feedback for novice presenters. However, a comprehensive literature review discovered that none of those systems have been adequately evaluated in real learning settings. This work is the first randomised controlled evaluation of the impact that one of these systems has in developing oral presentation skills during a real semester-long learning activity with 180 students. The main findings are that (1) the development of different dimensions of the oral presentations are not affected equally by the automated feedback and (2) there is a small but statistically significant effect of the use of the tool when a subsequent presentation is evaluated by a human expert.\n
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\n \n\n \n \n \n \n \n \n Mapping Learning Analytics initiatives in Latin America.\n \n \n \n \n\n\n \n Cechinel, C.; Ochoa, X.; Santos, H. L. d.; Nunes, J. B. C.; Rodés, V.; and Queiroga, E. M.\n\n\n \n\n\n\n British Journal of Educational Technology, 51(4): 892–914. 2020.\n _eprint: https://bera-journals.onlinelibrary.wiley.com/doi/pdf/10.1111/bjet.12941\n\n\n\n
\n\n\n\n \n \n \"MappingPaper\n  \n \n \n \"Mapping paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{cechinel_mapping_2020,\n\ttitle = {Mapping {Learning} {Analytics} initiatives in {Latin} {America}},\n\tvolume = {51},\n\tcopyright = {All rights reserved},\n\tissn = {1467-8535},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1111/bjet.12941},\n\tdoi = {10.1111/bjet.12941},\n\tabstract = {The growth of Learning Analytics (LA) as a research field has been extensively documented since its beginnings. This paper provides a broad overview of the publications that Latin American authors have published in the last years by performing a quantitative review of the literature (from 2011 to 2019). A total of 282 papers were collected and categorized according to a multidimensional model composed of seven dimensions (data collected, stakeholders targeted, goals of the paper, techniques employed, maturity of the tool, research approaches and ethical issues). The paper describes how the field has evolved over the years in Latin America, presenting the main characteristics of the papers from different perspectives (year, type of venue, language) together with the descriptives of the categorized dimensions and the relations between them. At last, papers are presented in number by countries and institutions, and we perform an authorship and coauthorship analysis with information extracted from the selected papers.},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2021-10-18},\n\tjournal = {British Journal of Educational Technology},\n\tauthor = {Cechinel, Cristian and Ochoa, Xavier and Santos, Henrique Lemos dos and Nunes, João Batista Carvalho and Rodés, Virginia and Queiroga, Emanuel Marques},\n\tyear = {2020},\n\tnote = {\\_eprint: https://bera-journals.onlinelibrary.wiley.com/doi/pdf/10.1111/bjet.12941},\n\tpages = {892--914},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/9YYT9ZBJ/file/view}\n}\n\n\n\n\n\n\n\n\n\n\n\n
\n
\n\n\n
\n The growth of Learning Analytics (LA) as a research field has been extensively documented since its beginnings. This paper provides a broad overview of the publications that Latin American authors have published in the last years by performing a quantitative review of the literature (from 2011 to 2019). A total of 282 papers were collected and categorized according to a multidimensional model composed of seven dimensions (data collected, stakeholders targeted, goals of the paper, techniques employed, maturity of the tool, research approaches and ethical issues). The paper describes how the field has evolved over the years in Latin America, presenting the main characteristics of the papers from different perspectives (year, type of venue, language) together with the descriptives of the categorized dimensions and the relations between them. At last, papers are presented in number by countries and institutions, and we perform an authorship and coauthorship analysis with information extracted from the selected papers.\n
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\n \n\n \n \n \n \n \n \n Multimodal learning analytics in a laboratory classroom.\n \n \n \n \n\n\n \n Chan, M. C. E.; Ochoa, X.; and Clarke, D.\n\n\n \n\n\n\n In Machine Learning Paradigms, pages 131–156. Springer, 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Multimodal paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@incollection{chan_multimodal_2020,\n\ttitle = {Multimodal learning analytics in a laboratory classroom},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Machine {Learning} {Paradigms}},\n\tpublisher = {Springer},\n\tauthor = {Chan, Man Ching Esther and Ochoa, Xavier and Clarke, David},\n\tyear = {2020},\n\tpages = {131--156},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/M647CC62/file/view}\n}\n\n\n\n
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\n  \n 2019\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n VISLA: Visual Approaches to Learning Analytics.\n \n \n \n \n\n\n \n De Croon, R.; Millecamp, M.; Ochoa, X.; Bodily, R.; Kay, J.; Drachsler, H.; and Conati, C.\n\n\n \n\n\n\n In Companion Proceeding of the 9th International Conference on Learning Analytics & Knowledge (LAK’19), pages 750–753, 2019. Solar\n \n\n\n\n
\n\n\n\n \n \n \"VISLA: paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{de_croon_visla:_2019,\n\ttitle = {{VISLA}: {Visual} {Approaches} to {Learning} {Analytics}},\n\tcopyright = {All rights reserved},\n\tshorttitle = {{VISLA}},\n\tbooktitle = {Companion {Proceeding} of the 9th {International} {Conference} on {Learning} {Analytics} \\& {Knowledge} ({LAK}’19)},\n\tpublisher = {Solar},\n\tauthor = {De Croon, Robin and Millecamp, MARTIJN and Ochoa, Xavier and Bodily, Robert and Kay, Judy and Drachsler, Hendrik and Conati, Cristina},\n\tyear = {2019},\n\tpages = {750--753},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/FNE9T557/file/view}\n}\n\n\n\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Towards the implementation of a countrywide K-12 learning analytics initiative in Uruguay.\n \n \n \n \n\n\n \n Macarini, L. A.; Lemos dos Santos, H.; Cechinel, C.; Ochoa, X.; Rodés, V.; Pérez Casas, A.; Lucas, P. P.; Maya, R.; Alonso, G. E.; and Díaz, P.\n\n\n \n\n\n\n Interactive Learning Environments,1–25. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Towards paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{macarini_towards_2019,\n\ttitle = {Towards the implementation of a countrywide {K}-12 learning analytics initiative in {Uruguay}},\n\tcopyright = {All rights reserved},\n\tjournal = {Interactive Learning Environments},\n\tauthor = {Macarini, Luiz Antonio and Lemos dos Santos, Henrique and Cechinel, Cristian and Ochoa, Xavier and Rodés, Virgínia and Pérez Casas, Alén and Lucas, Pedro Pablo and Maya, Ricardo and Alonso, Guillermo Ettlin and Díaz, Patricia},\n\tyear = {2019},\n\tpages = {1--25},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/C6DD7INV/file/view}\n}\n\n\n\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Benefits and trade-offs of different model representations in decision support systems for non-expert users.\n \n \n \n \n\n\n \n Gutiérrez, F.; Ochoa, X.; Seipp, K.; Broos, T.; and Verbert, K.\n\n\n \n\n\n\n In IFIP Conference on Human-Computer Interaction, pages 576–597, 2019. Springer\n \n\n\n\n
\n\n\n\n \n \n \"Benefits paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{gutierrez_benefits_2019,\n\ttitle = {Benefits and trade-offs of different model representations in decision support systems for non-expert users},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{IFIP} {Conference} on {Human}-{Computer} {Interaction}},\n\tpublisher = {Springer},\n\tauthor = {Gutiérrez, Francisco and Ochoa, Xavier and Seipp, Karsten and Broos, Tom and Verbert, Katrien},\n\tyear = {2019},\n\tpages = {576--597},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/24YX3HDC/file/view}\n}\n\n\n\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Fostering an Impactful Field of Learning Analytics.\n \n \n \n \n\n\n \n Knight, S.; Wise, A.; and Ochoa, X.\n\n\n \n\n\n\n Journal of Learning Analytics, 6(3): 1–4. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Fostering paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{knight_fostering_2019,\n\ttitle = {Fostering an {Impactful} {Field} of {Learning} {Analytics}},\n\tvolume = {6},\n\tcopyright = {All rights reserved},\n\tnumber = {3},\n\tjournal = {Journal of Learning Analytics},\n\tauthor = {Knight, Simon and Wise, Alyssa and Ochoa, Xavier},\n\tyear = {2019},\n\tpages = {1--4},\n\turl_paper={https://api.zotero.org/users/1563114/publications/items/JVVIEJFI/file/view}\n}\n\n\n\n\n\n\n\n
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\n \n\n \n \n \n \n \n \n Multimodal Learning Analytics: Assessing Learners' Mental State During the Process of Learning.\n \n \n \n \n\n\n \n Oviatt, S.; Grafsgaard, J.; Chen, L.; and Ochoa, X.\n\n\n \n\n\n\n In Oviatt, S.; Schuller, B.; Cohen, P. R.; Sonntag, D.; Potamianos, G.; and Krüger, A., editor(s), The Handbook of Multimodal-Multisensor Interfaces, pages 331–374. Association for Computing Machinery and Morgan & Claypool, New York, NY, USA, 2019.\n \n\n\n\n
\n\n\n\n \n \n \"MultimodalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{oviatt_multimodal_2019,\n\taddress = {New York, NY, USA},\n\ttitle = {Multimodal {Learning} {Analytics}: {Assessing} {Learners}' {Mental} {State} {During} the {Process} of {Learning}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-970001-71-6},\n\turl = {https://doi.org/10.1145/3107990.3108003},\n\tbooktitle = {The {Handbook} of {Multimodal}-{Multisensor} {Interfaces}},\n\tpublisher = {Association for Computing Machinery and Morgan \\&\\#38; Claypool},\n\tauthor = {Oviatt, Sharon and Grafsgaard, Joseph and Chen, Lei and Ochoa, Xavier},\n\teditor = {Oviatt, Sharon and Schuller, Björn and Cohen, Philip R. and Sonntag, Daniel and Potamianos, Gerasimos and Krüger, Antonio},\n\tyear = {2019},\n\tdoi = {10.1145/3107990.3108003},\n\tpages = {331--374},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Towards a visual guide for communicating uncertainty in Visual Analytics.\n \n \n \n \n\n\n \n Seipp, K.; Gutiérrez, F.; Ochoa, X.; and Verbert, K.\n\n\n \n\n\n\n Journal of Computer Languages, 50: 1–18. February 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{seipp_towards_2019,\n\ttitle = {Towards a visual guide for communicating uncertainty in {Visual} {Analytics}},\n\tvolume = {50},\n\tcopyright = {All rights reserved},\n\tissn = {25901184},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S1045926X16301136},\n\tdoi = {10.1016/j.jvlc.2018.11.004},\n\tlanguage = {en},\n\turldate = {2019-03-06},\n\tjournal = {Journal of Computer Languages},\n\tauthor = {Seipp, Karsten and Gutiérrez, Francisco and Ochoa, Xavier and Verbert, Katrien},\n\tmonth = feb,\n\tyear = {2019},\n\tpages = {1--18},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Learning analytics in Latin America present an opportunity not to be missed.\n \n \n \n \n\n\n \n Ochoa, X.\n\n\n \n\n\n\n Nature Human Behaviour, 3(1): 6–7. January 2019.\n \n\n\n\n
\n\n\n\n \n \n \"LearningPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ochoa_learning_2019,\n\ttitle = {Learning analytics in {Latin} {America} present an opportunity not to be missed},\n\tvolume = {3},\n\tcopyright = {All rights reserved},\n\tissn = {2397-3374},\n\turl = {http://www.nature.com/articles/s41562-018-0481-6},\n\tdoi = {10.1038/s41562-018-0481-6},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2019-03-06},\n\tjournal = {Nature Human Behaviour},\n\tauthor = {Ochoa, Xavier},\n\tmonth = jan,\n\tyear = {2019},\n\tpages = {6--7},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Challenges on implementing Learning Analytics over countrywide K-12 data.\n \n \n \n \n\n\n \n Macarini, L. A.; Cechinel, C.; Santos, H. L. d.; Ochoa, X.; Rodés, V.; Alonso, G. E.; Casas, A. P.; and Díaz, P.\n\n\n \n\n\n\n In Proceedings of the 9th International Conference on Learning Analytics & Knowledge - LAK19, pages 441–445, Tempe, AZ, USA, 2019. ACM Press\n \n\n\n\n
\n\n\n\n \n \n \"ChallengesPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{macarini_challenges_2019,\n\taddress = {Tempe, AZ, USA},\n\ttitle = {Challenges on implementing {Learning} {Analytics} over countrywide {K}-12 data},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-6256-6},\n\turl = {http://dl.acm.org/citation.cfm?doid=3303772.3303819},\n\tdoi = {10.1145/3303772.3303819},\n\tlanguage = {en},\n\turldate = {2019-03-06},\n\tbooktitle = {Proceedings of the 9th {International} {Conference} on {Learning} {Analytics} \\& {Knowledge}  - {LAK19}},\n\tpublisher = {ACM Press},\n\tauthor = {Macarini, Luiz Antonio and Cechinel, Cristian and Santos, Henrique Lemos dos and Ochoa, Xavier and Rodés, Virgínia and Alonso, Guillermo Ettlin and Casas, Alén Pérez and Díaz, Patricia},\n\tyear = {2019},\n\tpages = {441--445},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Semi-Automatic Generation of Intelligent Curricula to Facilitate Learning Analytics.\n \n \n \n \n\n\n \n Fiallos, A.; and Ochoa, X.\n\n\n \n\n\n\n In Proceedings of the 9th International Conference on Learning Analytics & Knowledge - LAK19, pages 46–50, Tempe, AZ, USA, 2019. ACM Press\n \n\n\n\n
\n\n\n\n \n \n \"Semi-AutomaticPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{fiallos_semi-automatic_2019,\n\taddress = {Tempe, AZ, USA},\n\ttitle = {Semi-{Automatic} {Generation} of {Intelligent} {Curricula} to {Facilitate} {Learning} {Analytics}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-6256-6},\n\turl = {http://dl.acm.org/citation.cfm?doid=3303772.3303834},\n\tdoi = {10.1145/3303772.3303834},\n\tlanguage = {en},\n\turldate = {2019-03-06},\n\tbooktitle = {Proceedings of the 9th {International} {Conference} on {Learning} {Analytics} \\& {Knowledge}  - {LAK19}},\n\tpublisher = {ACM Press},\n\tauthor = {Fiallos, Angel and Ochoa, Xavier},\n\tyear = {2019},\n\tpages = {46--50},\n}\n\n\n\n
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\n  \n 2018\n \n \n (12)\n \n \n
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\n \n\n \n \n \n \n \n Quantitative and Qualitative Analysis of the Learning Analytics and Knowledge Conference 2018.\n \n \n \n\n\n \n Ochoa, X.; and Merceron, A.\n\n\n \n\n\n\n Journal of Learning Analytics, 5(3): 154–166. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ochoa_quantitative_2018,\n\ttitle = {Quantitative and {Qualitative} {Analysis} of the {Learning} {Analytics} and {Knowledge} {Conference} 2018},\n\tvolume = {5},\n\tcopyright = {All rights reserved},\n\tlanguage = {English (US)},\n\tnumber = {3},\n\tjournal = {Journal of Learning Analytics},\n\tauthor = {Ochoa, Xavier and Merceron, Agathe},\n\tyear = {2018},\n\tpages = {154--166},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n LADA: A learning analytics dashboard for academic advising.\n \n \n \n\n\n \n Gutiérrez, F.; Seipp, K.; Ochoa, X.; Chiluiza, K.; De Laet, T.; and Verbert, K.\n\n\n \n\n\n\n Computers in Human Behavior. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{gutierrez_lada:_2018,\n\ttitle = {{LADA}: {A} learning analytics dashboard for academic advising},\n\tcopyright = {All rights reserved},\n\tissn = {0747-5632},\n\tlanguage = {English (US)},\n\tjournal = {Computers in Human Behavior},\n\tauthor = {Gutiérrez, Francisco and Seipp, Karsten and Ochoa, Xavier and Chiluiza, Katherine and De Laet, Tinne and Verbert, Katrien},\n\tyear = {2018},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n First steps towards the development of an academic system to follow the trajectories of primary and secondary uruguayan students.\n \n \n \n\n\n \n Rodes, V.; Cechinel, C.; Dos Santos, H. L.; Ochoa, X.; and Alonso, G. E.\n\n\n \n\n\n\n In CEUR Workshop Proceedings, volume 2231, 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{rodes_first_2018,\n\ttitle = {First steps towards the development of an academic system to follow the trajectories of primary and secondary uruguayan students},\n\tvolume = {2231},\n\tcopyright = {All rights reserved},\n\tabstract = {Resumen The present work describes the first steps towards the development of an Academic System focused on tracking the trajectories of uruguayan students from primary and secondary education. Since it is a large-scale project which covers an entire national educational system, several challenges and constraints (both technical and legal) were taken into account during its development. This paper presents some considerations regarding these issues along with the current state of the project. Early results point out the feasibility of finding meaningful patterns in the available data (using data mining techniques) which can be embedded into a prototype for tracking the students scholar trajectory.},\n\tlanguage = {English (US)},\n\tbooktitle = {{CEUR} {Workshop} {Proceedings}},\n\tauthor = {Rodes, Virginia and Cechinel, Cristian and Dos Santos, Henrique Lemos and Ochoa, Xavier and Alonso, Guillermo Ettlin},\n\tyear = {2018},\n}\n\n\n\n
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\n Resumen The present work describes the first steps towards the development of an Academic System focused on tracking the trajectories of uruguayan students from primary and secondary education. Since it is a large-scale project which covers an entire national educational system, several challenges and constraints (both technical and legal) were taken into account during its development. This paper presents some considerations regarding these issues along with the current state of the project. Early results point out the feasibility of finding meaningful patterns in the available data (using data mining techniques) which can be embedded into a prototype for tracking the students scholar trajectory.\n
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\n \n\n \n \n \n \n \n When Are Learning Analytics Ready and What Are They Ready For.\n \n \n \n\n\n \n Wise, A. F.; Knight, S.; and Ochoa, X.\n\n\n \n\n\n\n Journal of Learning Analytics, 5(3): 1–4. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{wise_when_2018,\n\ttitle = {When {Are} {Learning} {Analytics} {Ready} and {What} {Are} {They} {Ready} {For}},\n\tvolume = {5},\n\tcopyright = {All rights reserved},\n\tlanguage = {English (US)},\n\tnumber = {3},\n\tjournal = {Journal of Learning Analytics},\n\tauthor = {Wise, Alyssa Friend and Knight, Simon and Ochoa, Xavier},\n\tyear = {2018},\n\tpages = {1--4},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n LAK 2018 program chairs’ welcome.\n \n \n \n \n\n\n \n Shum, S.; Ferguson, R.; Merceron, A.; and Ochoa, X.\n\n\n \n\n\n\n In ACM International Conference Proceeding Series, pages iii–iv, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"LAKPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{shum_lak_2018,\n\ttitle = {{LAK} 2018 program chairs’ welcome},\n\tcopyright = {All rights reserved},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046058726&partnerID=40&md5=47e3e9fd9219140260c7b81582d5a786},\n\tbooktitle = {{ACM} {International} {Conference} {Proceeding} {Series}},\n\tauthor = {Shum, S.B. and Ferguson, R. and Merceron, A. and Ochoa, X.},\n\tyear = {2018},\n\tpages = {iii--iv},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n 2nd Crossmmla: Multimodal learning analytics across physical and digital spaces.\n \n \n \n\n\n \n Martinez-Maldonado, R.; Echeverria, V.; Prieto, L. P.; Rodriguez-Triana, M. J.; Spikol, D.; Curukova, M.; Mavrikis, M.; Ochoa, X.; and Worsley, M.\n\n\n \n\n\n\n In CEUR Workshop Proceedings, volume 2163, 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{martinez-maldonado_2nd_2018,\n\ttitle = {2nd {Crossmmla}: {Multimodal} learning analytics across physical and digital spaces},\n\tvolume = {2163},\n\tcopyright = {All rights reserved},\n\tabstract = {Students’ learning is ubiquitous. It happens wherever the learner is rather than being constrained to a specific physical or digital learning space (e.g. the classroom or the institutional LMS respectively). A critical question is: how to integrate and coordinate learning analytics to provide continued support to learning across physical and digital spaces? CrossMMLA is the successor to the Learning Analytics Across Spaces (CrossLAK) and MultiModal Learning Analytics (MMLA) series of workshops that were merged in 2017 after successful cross-pollination between the two communities. Although it may be said that CrossLAK and MMLA perspectives follow different philosophical and practical approaches, they both share a common aim. This aim is: deploying learning analytics innovations that can be used across diverse authentic learning environments whilst learners feature various modalities of interaction or behaviour.},\n\tlanguage = {English (US)},\n\tbooktitle = {{CEUR} {Workshop} {Proceedings}},\n\tauthor = {Martinez-Maldonado, Roberto and Echeverria, Vanessa and Prieto, Luis P. and Rodriguez-Triana, Maria Jesus and Spikol, Daniel and Curukova, Mutlu and Mavrikis, Manolis and Ochoa, Xavier and Worsley, Marcelo},\n\tyear = {2018},\n}\n\n\n\n
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\n Students’ learning is ubiquitous. It happens wherever the learner is rather than being constrained to a specific physical or digital learning space (e.g. the classroom or the institutional LMS respectively). A critical question is: how to integrate and coordinate learning analytics to provide continued support to learning across physical and digital spaces? CrossMMLA is the successor to the Learning Analytics Across Spaces (CrossLAK) and MultiModal Learning Analytics (MMLA) series of workshops that were merged in 2017 after successful cross-pollination between the two communities. Although it may be said that CrossLAK and MMLA perspectives follow different philosophical and practical approaches, they both share a common aim. This aim is: deploying learning analytics innovations that can be used across diverse authentic learning environments whilst learners feature various modalities of interaction or behaviour.\n
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\n \n\n \n \n \n \n \n \n Characterizing discussions in the Spanish Wikipedia.\n \n \n \n \n\n\n \n Torres, J.; Ochoa, A.; Jimenez, A.; Garcia, S.; Pelaez, E.; and Ochoa, X.\n\n\n \n\n\n\n In 2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017, volume 2017-January, pages 1–6, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"CharacterizingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{torres_characterizing_2018,\n\ttitle = {Characterizing discussions in the {Spanish} {Wikipedia}},\n\tvolume = {2017-January},\n\tcopyright = {All rights reserved},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045744307&doi=10.1109%2fETCM.2017.8247544&partnerID=40&md5=e7420d06785674175d5404fc3542492b},\n\tdoi = {10.1109/ETCM.2017.8247544},\n\tbooktitle = {2017 {IEEE} 2nd {Ecuador} {Technical} {Chapters} {Meeting}, {ETCM} 2017},\n\tauthor = {Torres, J. and Ochoa, A. and Jimenez, A. and Garcia, S. and Pelaez, E. and Ochoa, X.},\n\tyear = {2018},\n\tpages = {1--6},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Virtual Circuits: An Augmented Reality Circuit Simulator for Engineering Students.\n \n \n \n\n\n \n Lucas, P.; Vaca, D.; Domínguez, F.; and Ochoa, X.\n\n\n \n\n\n\n In 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT), pages 380–384, 2018. IEEE\n \n\n\n\n
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@inproceedings{lucas_virtual_2018,\n\ttitle = {Virtual {Circuits}: {An} {Augmented} {Reality} {Circuit} {Simulator} for {Engineering} {Students}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {2018 {IEEE} 18th {International} {Conference} on {Advanced} {Learning} {Technologies} ({ICALT})},\n\tpublisher = {IEEE},\n\tauthor = {Lucas, Pedro and Vaca, David and Domínguez, Federico and Ochoa, Xavier},\n\tyear = {2018},\n\tpages = {380--384},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Automated capture of paper-based evaluations to provide early feedback to students.\n \n \n \n \n\n\n \n Jurado, D.; Maya, R.; Dominguez, F.; and Ochoa, X.\n\n\n \n\n\n\n In 2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017, volume 2017-January, pages 1–6, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"AutomatedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{jurado_automated_2018,\n\ttitle = {Automated capture of paper-based evaluations to provide early feedback to students},\n\tvolume = {2017-January},\n\tcopyright = {All rights reserved},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045726401&doi=10.1109%2fETCM.2017.8247489&partnerID=40&md5=30c6d4e059a1696710a0a01090a2d939},\n\tdoi = {10.1109/ETCM.2017.8247489},\n\tbooktitle = {2017 {IEEE} 2nd {Ecuador} {Technical} {Chapters} {Meeting}, {ETCM} 2017},\n\tauthor = {Jurado, D. and Maya, R. and Dominguez, F. and Ochoa, X.},\n\tyear = {2018},\n\tpages = {1--6},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Multimodal transcript of face-to-face group-work activity around interactive tabletops.\n \n \n \n \n\n\n \n Ochoa, X.; Chiluiza, K.; Granda, R.; Falcones, G.; Castells, J.; and Guamán, B.\n\n\n \n\n\n\n In CEUR Workshop Proceedings, volume 2163, pages 1–6, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"MultimodalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{ochoa_multimodal_2018,\n\ttitle = {Multimodal transcript of face-to-face group-work activity around interactive tabletops},\n\tvolume = {2163},\n\tcopyright = {All rights reserved},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051924821&partnerID=40&md5=94453e9b450b08cafa2e3cfdd353b2b3},\n\tbooktitle = {{CEUR} {Workshop} {Proceedings}},\n\tauthor = {Ochoa, X. and Chiluiza, K. and Granda, R. and Falcones, G. and Castells, J. and Guamán, B.},\n\tyear = {2018},\n\tpages = {1--6},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n The LALA Project: Building Capacity to Use Learning Analytics to Improve Higher Education in Latin America.\n \n \n \n\n\n \n Maldonado-Mahauad, J.; Hilliger, I.; Pérez-Sanagustín, M.; Millecamp, M.; Verbert, K.; and Ochoa, X.\n\n\n \n\n\n\n In Companion Proceedings of the 8th International Learning Analytics & Knowledge Conference., pages 630–637, 2018. ACM\n \n\n\n\n
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@inproceedings{maldonado-mahauad_lala_2018,\n\ttitle = {The {LALA} {Project}: {Building} {Capacity} to {Use} {Learning} {Analytics} to {Improve} {Higher} {Education} in {Latin} {America}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Companion {Proceedings} of the 8th {International} {Learning} {Analytics} \\& {Knowledge} {Conference}.},\n\tpublisher = {ACM},\n\tauthor = {Maldonado-Mahauad, Jorge and Hilliger, Isabel and Pérez-Sanagustín, Mar and Millecamp, Martijn and Verbert, Katrien and Ochoa, Xavier},\n\tyear = {2018},\n\tpages = {630--637},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n The RAP System: Automatic Feedback of Oral Presentation Skills Using Multimodal Analysis and Low-cost Sensors.\n \n \n \n \n\n\n \n Ochoa, X.; Domínguez, F.; Guamán, B.; Maya, R.; Falcones, G.; and Castells, J.\n\n\n \n\n\n\n In Proceedings of the 8th International Conference on Learning Analytics and Knowledge, of LAK '18, pages 360–364, Sydney, New South Wales, Australia, 2018. ACM\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{ochoa_rap_2018,\n\taddress = {Sydney, New South Wales, Australia},\n\tseries = {{LAK} '18},\n\ttitle = {The {RAP} {System}: {Automatic} {Feedback} of {Oral} {Presentation} {Skills} {Using} {Multimodal} {Analysis} and {Low}-cost {Sensors}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-6400-3},\n\turl = {http://doi.acm.org/10.1145/3170358.3170406},\n\tdoi = {10.1145/3170358.3170406},\n\tbooktitle = {Proceedings of the 8th {International} {Conference} on {Learning} {Analytics} and {Knowledge}},\n\tpublisher = {ACM},\n\tauthor = {Ochoa, Xavier and Domínguez, Federico and Guamán, Bruno and Maya, Ricardo and Falcones, Gabriel and Castells, Jaime},\n\tyear = {2018},\n\tpages = {360--364},\n}\n\n\n\n
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\n  \n 2017\n \n \n (11)\n \n \n
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\n \n\n \n \n \n \n \n \n Affordable and secure electronic voting for university elections: The SAVE case study.\n \n \n \n \n\n\n \n Ochoa, X.; and Peláez, E.\n\n\n \n\n\n\n In 2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017, pages 110–117, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"AffordablePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{ochoa_affordable_2017,\n\ttitle = {Affordable and secure electronic voting for university elections: {The} {SAVE} case study},\n\tcopyright = {All rights reserved},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026829649&doi=10.1109%2fICEDEG.2017.7962520&partnerID=40&md5=e1081f728a957bf7692fbf8b19f37a99},\n\tdoi = {10.1109/ICEDEG.2017.7962520},\n\tbooktitle = {2017 4th {International} {Conference} on {eDemocracy} and {eGovernment}, {ICEDEG} 2017},\n\tauthor = {Ochoa, X. and Peláez, E.},\n\tyear = {2017},\n\tpages = {110--117},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n LAK 2017 program chairs' welcome.\n \n \n \n \n\n\n \n Molenaar, I.; Ochoa, X.; and Dawson, S.\n\n\n \n\n\n\n In ACM International Conference Proceeding Series, pages iii, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"LAKPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{molenaar_lak_2017,\n\ttitle = {{LAK} 2017 program chairs' welcome},\n\tcopyright = {All rights reserved},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019512528&partnerID=40&md5=6db5ae1ff11efd3fd4567d4df18b2862},\n\tbooktitle = {{ACM} {International} {Conference} {Proceeding} {Series}},\n\tauthor = {Molenaar, I. and Ochoa, X. and Dawson, S.},\n\tyear = {2017},\n\tpages = {iii},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Editorial: Joint Proceedings of the Sixth Multimodal Learning Analytics (MMLA) Workshop and the Second Cross-LAK Workshop.\n \n \n \n \n\n\n \n Prieto, L.; Martínez-Maldonado, R.; Spikol, D.; Hernández-Leo, D.; Rodríguez-Triana, M.; and Ochoa, X.\n\n\n \n\n\n\n In CEUR Workshop Proceedings, volume 1828, pages 1–3, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"Editorial:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{prieto_editorial:_2017,\n\ttitle = {Editorial: {Joint} {Proceedings} of the {Sixth} {Multimodal} {Learning} {Analytics} ({MMLA}) {Workshop} and the {Second} {Cross}-{LAK} {Workshop}},\n\tvolume = {1828},\n\tcopyright = {All rights reserved},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019839776&partnerID=40&md5=aeae542d0488c11e7476c7dba43308be},\n\tbooktitle = {{CEUR} {Workshop} {Proceedings}},\n\tauthor = {Prieto, L.P. and Martínez-Maldonado, R. and Spikol, D. and Hernández-Leo, D. and Rodríguez-Triana, M.J. and Ochoa, X.},\n\tyear = {2017},\n\tpages = {1--3},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Measuring contribution in collaborative writing: An adaptive NMF topic modelling approach.\n \n \n \n \n\n\n \n Torres, J.; Jimenez, A.; García, S.; Peláez, E.; and Ochoa, X.\n\n\n \n\n\n\n In 2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017, pages 63–70, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"MeasuringPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{torres_measuring_2017,\n\ttitle = {Measuring contribution in collaborative writing: {An} adaptive {NMF} topic modelling approach},\n\tcopyright = {All rights reserved},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026836526&doi=10.1109%2fICEDEG.2017.7962514&partnerID=40&md5=e43c1e05243a0f1c601fad8f8d20ed05},\n\tdoi = {10.1109/ICEDEG.2017.7962514},\n\tbooktitle = {2017 4th {International} {Conference} on {eDemocracy} and {eGovernment}, {ICEDEG} 2017},\n\tauthor = {Torres, J. and Jimenez, A. and García, S. and Peláez, E. and Ochoa, X.},\n\tyear = {2017},\n\tpages = {63--70},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Discrete event simulation for student flow in academic study periods.\n \n \n \n \n\n\n \n Fiallos, A.; and Ochoa, X.\n\n\n \n\n\n\n In 12th Latin American Conference on Learning Objects and Technologies, LACLO 2017, volume 2017-January, pages 1–7, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"DiscretePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{fiallos_discrete_2017,\n\ttitle = {Discrete event simulation for student flow in academic study periods},\n\tvolume = {2017-January},\n\tcopyright = {All rights reserved},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85043479926&doi=10.1109%2fLACLO.2017.8120908&partnerID=40&md5=28da3753fcc44fc4ea4f282d1f44d655},\n\tdoi = {10.1109/LACLO.2017.8120908},\n\tbooktitle = {12th {Latin} {American} {Conference} on {Learning} {Objects} and {Technologies}, {LACLO} 2017},\n\tauthor = {Fiallos, A. and Ochoa, X.},\n\tyear = {2017},\n\tpages = {1--7},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Scientific communities detection and analysis in the bibliographic database: SCOPUS.\n \n \n \n \n\n\n \n Fiallos, A.; Jimenes, K.; Vaca, C.; and Ochoa, X.\n\n\n \n\n\n\n In 2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017, pages 118–124, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"ScientificPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{fiallos_scientific_2017,\n\ttitle = {Scientific communities detection and analysis in the bibliographic database: {SCOPUS}},\n\tcopyright = {All rights reserved},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026808191&doi=10.1109%2fICEDEG.2017.7962521&partnerID=40&md5=96e5a2a69b611aa5735eceb9894fa658},\n\tdoi = {10.1109/ICEDEG.2017.7962521},\n\tbooktitle = {2017 4th {International} {Conference} on {eDemocracy} and {eGovernment}, {ICEDEG} 2017},\n\tauthor = {Fiallos, A. and Jimenes, K. and Vaca, C. and Ochoa, X.},\n\tyear = {2017},\n\tpages = {118--124},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n An initial review of learning analytics in Latin america.\n \n \n \n \n\n\n \n Dos Santos, H.; Cechinel, C.; Nunes, J.; and Ochoa, X.\n\n\n \n\n\n\n In 12th Latin American Conference on Learning Objects and Technologies, LACLO 2017, volume 2017-January, pages 1–9, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{dos_santos_initial_2017,\n\ttitle = {An initial review of learning analytics in {Latin} america},\n\tvolume = {2017-January},\n\tcopyright = {All rights reserved},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85043463633&doi=10.1109%2fLACLO.2017.8120913&partnerID=40&md5=79854e4bed71cf8e52d64720c7a0e225},\n\tdoi = {10.1109/LACLO.2017.8120913},\n\tbooktitle = {12th {Latin} {American} {Conference} on {Learning} {Objects} and {Technologies}, {LACLO} 2017},\n\tauthor = {Dos Santos, H.L. and Cechinel, C. and Nunes, J.B.C. and Ochoa, X.},\n\tyear = {2017},\n\tpages = {1--9},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Smart objects in education: An early survey to assess opportunities and challenges.\n \n \n \n \n\n\n \n Domínguez, F.; and Ochoa, X.\n\n\n \n\n\n\n In 2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017, pages 216–220, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"SmartPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{dominguez_smart_2017,\n\ttitle = {Smart objects in education: {An} early survey to assess opportunities and challenges},\n\tcopyright = {All rights reserved},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026841064&doi=10.1109%2fICEDEG.2017.7962537&partnerID=40&md5=110150bec792094799086914ca1b5511},\n\tdoi = {10.1109/ICEDEG.2017.7962537},\n\tbooktitle = {2017 4th {International} {Conference} on {eDemocracy} and {eGovernment}, {ICEDEG} 2017},\n\tauthor = {Domínguez, F. and Ochoa, X.},\n\tyear = {2017},\n\tpages = {216--220},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Current and Future Multimodal Learning Analytics Data Challenges.\n \n \n \n \n\n\n \n Spikol, D.; Prieto, L. P.; Rodríguez-Triana, M. J.; Worsley, M.; Ochoa, X.; Cukurova, M.; Vogel, B.; Ruffaldi, E.; and Ringtved, U. L.\n\n\n \n\n\n\n In Proceedings of the Seventh International Learning Analytics & Knowledge Conference, of LAK '17, pages 518–519, Vancouver, British Columbia, Canada, 2017. ACM\n \n\n\n\n
\n\n\n\n \n \n \"CurrentPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{spikol_current_2017,\n\taddress = {Vancouver, British Columbia, Canada},\n\tseries = {{LAK} '17},\n\ttitle = {Current and {Future} {Multimodal} {Learning} {Analytics} {Data} {Challenges}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-4870-6},\n\turl = {http://doi.acm.org/10.1145/3027385.3029437},\n\tdoi = {10.1145/3027385.3029437},\n\tbooktitle = {Proceedings of the {Seventh} {International} {Learning} {Analytics} \\& {Knowledge} {Conference}},\n\tpublisher = {ACM},\n\tauthor = {Spikol, Daniel and Prieto, Luis P. and Rodríguez-Triana, M. J. and Worsley, Marcelo and Ochoa, Xavier and Cukurova, Mutlu and Vogel, Bahtijar and Ruffaldi, Emanuele and Ringtved, Ulla Lunde},\n\tyear = {2017},\n\tpages = {518--519},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Handbook of Learning Analytics.\n \n \n \n \n\n\n \n Ochoa, X.\n\n\n \n\n\n\n In Lang, C.; Siemens, G.; Wise, A.; and Gašević, D., editor(s), pages 129–141. Society for Learning Analytics Research (SoLAR), 2017.\n \n\n\n\n
\n\n\n\n \n \n \"HandbookPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{ochoa_handbook_2017,\n\ttitle = {Handbook of {Learning} {Analytics}},\n\tcopyright = {All rights reserved},\n\turl = {https://solaresearch.org/hla-17/hla17-chapter11/},\n\tpublisher = {Society for Learning Analytics Research (SoLAR)},\n\tauthor = {Ochoa, Xavier},\n\teditor = {Lang, Charles and Siemens, George and Wise, Alyssa and Gašević, Dragan},\n\tyear = {2017},\n\tdoi = {10.18608/hla17},\n\tpages = {129--141},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Technology Enhanced Learning.\n \n \n \n \n\n\n \n Ochoa, X.; and Ternier, S.\n\n\n \n\n\n\n In Duval, E.; Sharples, M.; and Sutherland, R., editor(s), pages 145–156. Springer, 2017.\n \n\n\n\n
\n\n\n\n \n \n \"TechnologyPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{ochoa_technology_2017,\n\ttitle = {Technology {Enhanced} {Learning}},\n\tcopyright = {All rights reserved},\n\turl = {https://link.springer.com/chapter/10.1007/978-3-319-02600-8_14},\n\tpublisher = {Springer},\n\tauthor = {Ochoa, Xavier and Ternier, Stefaan},\n\teditor = {Duval, Erik and Sharples, Mike and Sutherland, Rosamund},\n\tyear = {2017},\n\tpages = {145--156},\n}\n\n\n\n
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\n  \n 2016\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n Keynotes: Scaling up adaptive educational systems.\n \n \n \n\n\n \n Sosnovsky, S.; Santos, O. C; and Ochoa, X.\n\n\n \n\n\n\n In Learning Objects and Technology (LACLO), Latin American Conference on, pages xiv–xvi, 2016. IEEE\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{sosnovsky_keynotes:_2016,\n\ttitle = {Keynotes: {Scaling} up adaptive educational systems},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Learning {Objects} and {Technology} ({LACLO}), {Latin} {American} {Conference} on},\n\tpublisher = {IEEE},\n\tauthor = {Sosnovsky, Sergey and Santos, Olga C and Ochoa, Xavier},\n\tyear = {2016},\n\tpages = {xiv--xvi},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Adaptive multilevel clustering model for the prediction of academic risk.\n \n \n \n\n\n \n Ochoa, X.\n\n\n \n\n\n\n In 2016 XI Latin American Conference on Learning Objects and Technology (LACLO), pages 1–8, October 2016. \n \n\n\n\n
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@inproceedings{ochoa_adaptive_2016,\n\ttitle = {Adaptive multilevel clustering model for the prediction of academic risk},\n\tcopyright = {All rights reserved},\n\tdoi = {10.1109/LACLO.2016.7751800},\n\tbooktitle = {2016 {XI} {Latin} {American} {Conference} on {Learning} {Objects} and {Technology} ({LACLO})},\n\tauthor = {Ochoa, X.},\n\tmonth = oct,\n\tyear = {2016},\n\tpages = {1--8},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Multimodal learning analytics data challenges.\n \n \n \n\n\n \n Ochoa, X.; Worsley, M.; Weibel, N.; and Oviatt, S.\n\n\n \n\n\n\n In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, pages 498–499, 2016. ACM\n \n\n\n\n
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@inproceedings{ochoa_multimodal_2016,\n\ttitle = {Multimodal learning analytics data challenges},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of the {Sixth} {International} {Conference} on {Learning} {Analytics} \\& {Knowledge}},\n\tpublisher = {ACM},\n\tauthor = {Ochoa, Xavier and Worsley, Marcelo and Weibel, Nadir and Oviatt, Sharon},\n\tyear = {2016},\n\tpages = {498--499},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Learning analytics for curriculum and program quality improvement (PCLA 2016).\n \n \n \n\n\n \n Greer, J.; Molinaro, M.; Ochoa, X.; and McKay, T.\n\n\n \n\n\n\n In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, pages 494–495, 2016. ACM\n \n\n\n\n
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@inproceedings{greer_learning_2016,\n\ttitle = {Learning analytics for curriculum and program quality improvement ({PCLA} 2016)},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of the {Sixth} {International} {Conference} on {Learning} {Analytics} \\& {Knowledge}},\n\tpublisher = {ACM},\n\tauthor = {Greer, Jim and Molinaro, Marco and Ochoa, Xavier and McKay, Timothy},\n\tyear = {2016},\n\tpages = {494--495},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Augmenting Learning Analytics with Multimodal Sensory Data.\n \n \n \n \n\n\n \n Ochoa, X.; and Worsley, M.\n\n\n \n\n\n\n Journal of Learning Analytics, 3(2): 213–219. September 2016.\n \n\n\n\n
\n\n\n\n \n \n \"AugmentingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ochoa_augmenting_2016,\n\ttitle = {Augmenting {Learning} {Analytics} with {Multimodal} {Sensory} {Data}},\n\tvolume = {3},\n\tcopyright = {All rights reserved},\n\turl = {http://learning-analytics.info/journals/index.php/JLA/article/view/5081/5595},\n\tnumber = {2},\n\tjournal = {Journal of Learning Analytics},\n\tauthor = {Ochoa, Xavier and Worsley, Marcelo},\n\tmonth = sep,\n\tyear = {2016},\n\tpages = {213--219},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Editorial: A Message from the Editorial Team and an Introduction to the January-March 2016 Issue.\n \n \n \n \n\n\n \n Brusilovsky, P.; Sharples, M.; Alves, G.; Barnes, T.; Chen, S.; Chu, C.; Drachsler, H.; Isotani, S.; Lindsay, E.; Ochoa, X.; Pechenizkiy, M.; Rodrigo, M.; Romero, C.; Sosnovsky, S.; Ternier, S.; and Verbert, K.\n\n\n \n\n\n\n IEEE Transactions on Learning Technologies, 9(1): 1–4. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"Editorial:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{brusilovsky_editorial:_2016,\n\ttitle = {Editorial: {A} {Message} from the {Editorial} {Team} and an {Introduction} to the {January}-{March} 2016 {Issue}},\n\tvolume = {9},\n\tcopyright = {All rights reserved},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964344332&partnerID=40&md5=5b0c91cfe2685cd3396071edcb782eda},\n\tdoi = {10.1109/TLT.2016.2537399},\n\tnumber = {1},\n\tjournal = {IEEE Transactions on Learning Technologies},\n\tauthor = {Brusilovsky, P. and Sharples, M. and Alves, G.R. and Barnes, T. and Chen, S.Y. and Chu, C.H.C. and Drachsler, H. and Isotani, S. and Lindsay, E. and Ochoa, X. and Pechenizkiy, M. and Rodrigo, M.M.T. and Romero, C. and Sosnovsky, S. and Ternier, S. and Verbert, K.},\n\tyear = {2016},\n\tpages = {1--4},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n A Research Agenda for Managing Uncertainty in Visual Analytics.\n \n \n \n \n\n\n \n Seipp, K.; Ochoa, X.; Gutiérrez, F.; and Verbert, K.\n\n\n \n\n\n\n In Weyers, B.; and Dittmar, A., editor(s), Mensch und Computer 2016 – Workshopband, Aachen, 2016. Gesellschaft für Informatik e.V.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{seipp_research_2016,\n\taddress = {Aachen},\n\ttitle = {A {Research} {Agenda} for {Managing} {Uncertainty} in {Visual} {Analytics}},\n\tcopyright = {All rights reserved},\n\turl = {http://dl.mensch-und-computer.de/handle/123456789/5125},\n\tbooktitle = {Mensch und {Computer} 2016 – {Workshopband}},\n\tpublisher = {Gesellschaft für Informatik e.V.},\n\tauthor = {Seipp, Karsten and Ochoa, Xavier and Gutiérrez, Francisco and Verbert, Katrien},\n\teditor = {Weyers, Benjamin and Dittmar, Anke},\n\tyear = {2016},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Special Issue on Strategies to Improve the Usability of Learning Object Repositories.\n \n \n \n \n\n\n \n Casali, A.; Cechinel, C.; and Ochoa, X.\n\n\n \n\n\n\n IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 11(2): 71–72. May 2016.\n \n\n\n\n
\n\n\n\n \n \n \"SpecialPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{casali_special_2016,\n\ttitle = {Special {Issue} on {Strategies} to {Improve} the {Usability} of {Learning} {Object} {Repositories}},\n\tvolume = {11},\n\tcopyright = {All rights reserved},\n\tissn = {1932-8540},\n\turl = {http://ieeexplore.ieee.org/document/7452577/},\n\tdoi = {10.1109/RITA.2016.2553999},\n\tnumber = {2},\n\tjournal = {IEEE Revista Iberoamericana de Tecnologias del Aprendizaje},\n\tauthor = {Casali, A. and Cechinel, C. and Ochoa, X.},\n\tmonth = may,\n\tyear = {2016},\n\tpages = {71--72},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Simple Metrics for Curriculum Analytics.\n \n \n \n \n\n\n \n Ochoa, X.\n\n\n \n\n\n\n In Greer, J.; Molinaro, M.; Ochoa, X.; and McKay, T., editor(s), Proceedings of the 1st Learning Analytics for Curriculum and Program Quality Improvement Workshop (PCLA), volume 1590, of CEUR Workshop Proceedings, pages 20–26, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"SimplePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{ochoa_simple_2016,\n\tseries = {{CEUR} {Workshop} {Proceedings}},\n\ttitle = {Simple {Metrics} for {Curriculum} {Analytics}},\n\tvolume = {1590},\n\tcopyright = {All rights reserved},\n\turl = {http://ceur-ws.org/Vol-1590/#paper-04},\n\tbooktitle = {Proceedings of the 1st {Learning} {Analytics} for {Curriculum} and {Program} {Quality} {Improvement} {Workshop} ({PCLA})},\n\tauthor = {Ochoa, Xavier},\n\teditor = {Greer, Jim and Molinaro, Marco and Ochoa, Xavier and McKay, Timothy},\n\tyear = {2016},\n\tpages = {20--26},\n}\n\n\n\n
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\n  \n 2015\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n 2015 Multimodal Learning and Analytics Grand Challenge.\n \n \n \n\n\n \n Worsley, M.; Chiluiza, K.; Grafsgaard, J. F; and Ochoa, X.\n\n\n \n\n\n\n In Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, pages 525–529, 2015. ACM\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{worsley_2015_2015,\n\ttitle = {2015 {Multimodal} {Learning} and {Analytics} {Grand} {Challenge}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of the 2015 {ACM} on {International} {Conference} on {Multimodal} {Interaction}},\n\tpublisher = {ACM},\n\tauthor = {Worsley, Marcelo and Chiluiza, Katherine and Grafsgaard, Joseph F and Ochoa, Xavier},\n\tyear = {2015},\n\tpages = {525--529},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Predictor basado en prototipos difusos y clasificación no-supervisada.\n \n \n \n \n\n\n \n Vásquez, A.; Peláez, E.; and Ochoa, X.\n\n\n \n\n\n\n In XI Jornadas Iberoamericanas de Ingenieria de Software e Ingenieria del Conocimiento, JIISIC 2015, pages 197–206, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"PredictorPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{vasquez_predictor_2015,\n\ttitle = {Predictor basado en prototipos difusos y clasificación no-supervisada},\n\tcopyright = {All rights reserved},\n\turl = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84935102854&partnerID=40&md5=81a6968b66d8fa4a265be21f81628c3c},\n\tbooktitle = {{XI} {Jornadas} {Iberoamericanas} de {Ingenieria} de {Software} e {Ingenieria} del {Conocimiento}, {JIISIC} 2015},\n\tauthor = {Vásquez, A. and Peláez, E. and Ochoa, X.},\n\tyear = {2015},\n\tpages = {197--206},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Creación Colaborativa de Recursos Educativos Abiertos: Experiencias de la Iniciativa LATIn.\n \n \n \n\n\n \n Podetti, M.; Rodés, V.; Ochoa, X.; Silveira, I. F.; and Casas, A. P.\n\n\n \n\n\n\n In Anais dos Workshops do Congresso Brasileiro de Informática na Educação, volume 4, pages 951, 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{podetti_creacion_2015,\n\ttitle = {Creación {Colaborativa} de {Recursos} {Educativos} {Abiertos}: {Experiencias} de la {Iniciativa} {LATIn}},\n\tvolume = {4},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Anais dos {Workshops} do {Congresso} {Brasileiro} de {Informática} na {Educação}},\n\tauthor = {Podetti, Manuel and Rodés, Virginia and Ochoa, Xavier and Silveira, Ismar Frango and Casas, Alén Pérez},\n\tyear = {2015},\n\tpages = {951},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Visualizing Uncertainty in the Prediction of Academic Risk.\n \n \n \n \n\n\n \n Ochoa, X.\n\n\n \n\n\n\n In VISLA15: VISual Approaches to Learning Analytics Workshop, pages 4–10, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"VisualizingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{ochoa_visualizing_2015,\n\ttitle = {Visualizing {Uncertainty} in the {Prediction} of {Academic} {Risk}},\n\tcopyright = {All rights reserved},\n\turl = {https://visla15.files.wordpress.com/2015/03/visla15_submission_6-3.pdf},\n\tbooktitle = {{VISLA15}: {VISual} {Approaches} to {Learning} {Analytics} {Workshop}},\n\tauthor = {Ochoa, Xavier},\n\tyear = {2015},\n\tpages = {4--10},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n VISLA: visual aspects of learning analytics.\n \n \n \n \n\n\n \n Duval, E.; Verbert, K.; Klerkx, J.; Wolpers, M.; Pardo, A.; Govaerts, S.; Gillet, D.; Ochoa, X.; and Parra, D.\n\n\n \n\n\n\n In Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, pages 394–395, 2015. ACM\n \n\n\n\n
\n\n\n\n \n \n \"VISLA:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{duval_visla:_2015,\n\ttitle = {{VISLA}: visual aspects of learning analytics},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Duval-LAK2015.pdf},\n\tbooktitle = {Proceedings of the {Fifth} {International} {Conference} on {Learning} {Analytics} {And} {Knowledge}},\n\tpublisher = {ACM},\n\tauthor = {Duval, Erik and Verbert, Katrien and Klerkx, Joris and Wolpers, Martin and Pardo, Abelardo and Govaerts, Sten and Gillet, Denis and Ochoa, Xavier and Parra, Denis},\n\tyear = {2015},\n\tpages = {394--395},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Multimodal Selfies: Designing a Multimodal Recording Device for Students in Traditional Classrooms.\n \n \n \n\n\n \n Domínguez, F.; Chiluiza, K.; Echeverria, V.; and Ochoa, X.\n\n\n \n\n\n\n In Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, pages 567–574, 2015. ACM\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{dominguez_multimodal_2015,\n\ttitle = {Multimodal {Selfies}: {Designing} a {Multimodal} {Recording} {Device} for {Students} in {Traditional} {Classrooms}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of the 2015 {ACM} on {International} {Conference} on {Multimodal} {Interaction}},\n\tpublisher = {ACM},\n\tauthor = {Domínguez, Federico and Chiluiza, Katherine and Echeverria, Vanessa and Ochoa, Xavier},\n\tyear = {2015},\n\tpages = {567--574},\n}\n\n\n\n
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\n  \n 2014\n \n \n (11)\n \n \n
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\n \n\n \n \n \n \n \n Modelos de Diseño Instruccional con soporte a Libros Abiertos Colaborativos para Educación Abierta.\n \n \n \n\n\n \n Silveira, I. F.; Mustaro, P.; Rodés, V.; Omar, N.; and Ochoa, X.\n\n\n \n\n\n\n In Proceedings of the XV International Conference on Human Computer Interaction, pages 543–548, 2014. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{silveira_modelos_2014,\n\ttitle = {Modelos de {Diseño} {Instruccional} con soporte a {Libros} {Abiertos} {Colaborativos} para {Educación} {Abierta}.},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of the {XV} {International} {Conference} on {Human} {Computer} {Interaction}},\n\tauthor = {Silveira, Ismar Frango and Mustaro, Pollyana and Rodés, Virginia and Omar, Nizam and Ochoa, Xavier},\n\tyear = {2014},\n\tpages = {543--548},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Towards the use of Semantic Learning Object Repositories: Evaluating Queries Performance in two Different RDF Implementations.\n \n \n \n \n\n\n \n Santos, H. L. d.; Carrillo, G.; Cechinel, C.; and Ochoa, X.\n\n\n \n\n\n\n Bulletin of the IEEE Technical Committee on Learning Technology, 16(4): 6–9. December 2014.\n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{santos_towards_2014,\n\ttitle = {Towards the use of {Semantic} {Learning} {Object} {Repositories}: {Evaluating} {Queries} {Performance} in two {Different} {RDF} {Implementations}},\n\tvolume = {16},\n\tcopyright = {All rights reserved},\n\turl = {http://www.ieeetclt.org/issues/december2014/2-Santos.pdf},\n\tnumber = {4},\n\tjournal = {Bulletin of the IEEE Technical Committee on Learning Technology},\n\tauthor = {Santos, Henrique L. dos and Carrillo, Gladys and Cechinel, Cristian and Ochoa, Xavier},\n\tmonth = dec,\n\tyear = {2014},\n\tpages = {6--9},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Analysis and Reflections on the Third Learning Analytics and Knowledge Conference (LAK 2013).\n \n \n \n \n\n\n \n Ochoa, X.; Suther, D.; Verbert, K.; and Duval, E.\n\n\n \n\n\n\n Journal of Learning Analytics, 1(2): 5–22. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"AnalysisPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ochoa_analysis_2014,\n\ttitle = {Analysis and {Reflections} on the {Third} {Learning} {Analytics} and {Knowledge} {Conference} ({LAK} 2013)},\n\tvolume = {1},\n\tcopyright = {All rights reserved},\n\turl = {http://epress.lib.uts.edu.au/journals/index.php/JLA/article/viewFile/4080/4155},\n\tnumber = {2},\n\tjournal = {Journal of Learning Analytics},\n\tauthor = {Ochoa, Xavier and Suther, Dan and Verbert, Katrien and Duval, Erik},\n\tyear = {2014},\n\tpages = {5--22},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n MLA'14: Third Multimodal Learning Analytics Workshop and Grand Challenges.\n \n \n \n \n\n\n \n Ochoa, X.; Worsley, M.; Chiluiza, K.; and Luz, S.\n\n\n \n\n\n\n In Proceedings of the 16th International Conference on Multimodal Interaction, of ICMI '14, pages 531–532, Istanbul, Turkey, 2014. ACM\n \n\n\n\n
\n\n\n\n \n \n \"MLA'14:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{ochoa_mla14:_2014,\n\taddress = {Istanbul, Turkey},\n\tseries = {{ICMI} '14},\n\ttitle = {{MLA}'14: {Third} {Multimodal} {Learning} {Analytics} {Workshop} and {Grand} {Challenges}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-2885-2},\n\turl = {http://doi.acm.org/10.1145/2663204.2668318},\n\tdoi = {10.1145/2663204.2668318},\n\tbooktitle = {Proceedings of the 16th {International} {Conference} on {Multimodal} {Interaction}},\n\tpublisher = {ACM},\n\tauthor = {Ochoa, Xavier and Worsley, Marcelo and Chiluiza, Katherine and Luz, Saturnino},\n\tyear = {2014},\n\tpages = {531--532},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Use of a Semantic Learning Repository to Facilitate the Creation of Modern e-Learning Systems.\n \n \n \n \n\n\n \n Ochoa, X.; Carrillo, G.; and Cechinel, C.\n\n\n \n\n\n\n In Proceedings of the XV International Conference on Human Computer Interaction, pages 535–542, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"UsePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{ochoa_use_2014,\n\ttitle = {Use of a {Semantic} {Learning} {Repository} to {Facilitate} the {Creation} of {Modern} e-{Learning} {Systems}.},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-Interaccion2014.pdf},\n\tbooktitle = {Proceedings of the {XV} {International} {Conference} on {Human} {Computer} {Interaction}},\n\tauthor = {Ochoa, Xavier and Carrillo, Gladys and Cechinel, Cristian},\n\tyear = {2014},\n\tpages = {535--542},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Curricular Design Analysis: A Data-Driven Perspective.\n \n \n \n \n\n\n \n Mendez, G.; Ochoa, X.; Chiluiza, K.; and Wever, B. d.\n\n\n \n\n\n\n Journal of Learning Analytics, 1(3): 84–119. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"CurricularPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{mendez_curricular_2014,\n\ttitle = {Curricular {Design} {Analysis}: {A} {Data}-{Driven} {Perspective}},\n\tvolume = {1},\n\tcopyright = {All rights reserved},\n\turl = {http://epress.lib.uts.edu.au/journals/index.php/JLA/article/view/4079},\n\tnumber = {3},\n\tjournal = {Journal of Learning Analytics},\n\tauthor = {Mendez, Gonzalo and Ochoa, Xavier and Chiluiza, Katherine and Wever, Bram de},\n\tyear = {2014},\n\tpages = {84--119},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Techniques for Data-driven Curriculum Analysis.\n \n \n \n \n\n\n \n Méndez, G.; Ochoa, X.; and Chiluiza, K.\n\n\n \n\n\n\n In Proceedings of the Fourth International Conference on Learning Analytics And Knowledge, of LAK '14, pages 148–157, Indianapolis, Indiana, 2014. ACM\n \n\n\n\n
\n\n\n\n \n \n \"TechniquesPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{mendez_techniques_2014,\n\taddress = {Indianapolis, Indiana},\n\tseries = {{LAK} '14},\n\ttitle = {Techniques for {Data}-driven {Curriculum} {Analysis}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-2664-3},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Mendez-LAK2014.pdf},\n\tdoi = {10.1145/2567574.2567591},\n\tabstract = {One of the key promises of Learning Analytics research is to create tools that could help educational institutions to gain a better insight of the inner workings of their programs, in order to tune or correct them. This work presents a set of simple techniques that applied to readily available historical academic data could provide such insights. The techniques described are real course difficulty estimation, dependance estimation, curriculum coherence, dropout paths and load/performance graph. The description of these techniques is accompanied by its application to real academic data from a Computer Science program. The results of the analysis are used to obtain recommendations for curriculum re-design.},\n\tbooktitle = {Proceedings of the {Fourth} {International} {Conference} on {Learning} {Analytics} {And} {Knowledge}},\n\tpublisher = {ACM},\n\tauthor = {Méndez, Gonzalo and Ochoa, Xavier and Chiluiza, Katherine},\n\tyear = {2014},\n\tpages = {148--157},\n}\n\n\n\n
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\n\n\n
\n One of the key promises of Learning Analytics research is to create tools that could help educational institutions to gain a better insight of the inner workings of their programs, in order to tune or correct them. This work presents a set of simple techniques that applied to readily available historical academic data could provide such insights. The techniques described are real course difficulty estimation, dependance estimation, curriculum coherence, dropout paths and load/performance graph. The description of these techniques is accompanied by its application to real academic data from a Computer Science program. The results of the analysis are used to obtain recommendations for curriculum re-design.\n
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\n \n\n \n \n \n \n \n \n Presentation Skills Estimation Based on Video and Kinect Data Analysis.\n \n \n \n \n\n\n \n Echeverría, V.; Avendaño, A.; Chiluiza, K.; Vásquez, A.; and Ochoa, X.\n\n\n \n\n\n\n In Proceedings of the 2014 ACM Workshop on Multimodal Learning Analytics Workshop and Grand Challenge, of MLA '14, pages 53–60, Istanbul, Turkey, 2014. ACM\n \n\n\n\n
\n\n\n\n \n \n \"PresentationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{echeverria_presentation_2014,\n\taddress = {Istanbul, Turkey},\n\tseries = {{MLA} '14},\n\ttitle = {Presentation {Skills} {Estimation} {Based} on {Video} and {Kinect} {Data} {Analysis}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-0488-7},\n\turl = {http://doi.acm.org/10.1145/2666633.2666641},\n\tdoi = {10.1145/2666633.2666641},\n\tbooktitle = {Proceedings of the 2014 {ACM} {Workshop} on {Multimodal} {Learning} {Analytics} {Workshop} and {Grand} {Challenge}},\n\tpublisher = {ACM},\n\tauthor = {Echeverría, Vanessa and Avendaño, Allan and Chiluiza, Katherine and Vásquez, Aníbal and Ochoa, Xavier},\n\tyear = {2014},\n\tpages = {53--60},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Estimation of Presentations Skills Based on Slides and Audio Features.\n \n \n \n \n\n\n \n Luzardo, G.; Guamán, B.; Chiluiza, K.; Castells, J.; and Ochoa, X.\n\n\n \n\n\n\n In Proceedings of the 2014 ACM Workshop on Multimodal Learning Analytics Workshop and Grand Challenge, of MLA '14, pages 37–44, Istanbul, Turkey, 2014. ACM\n \n\n\n\n
\n\n\n\n \n \n \"EstimationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{luzardo_estimation_2014,\n\taddress = {Istanbul, Turkey},\n\tseries = {{MLA} '14},\n\ttitle = {Estimation of {Presentations} {Skills} {Based} on {Slides} and {Audio} {Features}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-0488-7},\n\turl = {http://doi.acm.org/10.1145/2666633.2666639},\n\tdoi = {10.1145/2666633.2666639},\n\tbooktitle = {Proceedings of the 2014 {ACM} {Workshop} on {Multimodal} {Learning} {Analytics} {Workshop} and {Grand} {Challenge}},\n\tpublisher = {ACM},\n\tauthor = {Luzardo, Gonzalo and Guamán, Bruno and Chiluiza, Katherine and Castells, Jaime and Ochoa, Xavier},\n\tyear = {2014},\n\tpages = {37--44},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Creating a map for OER initiatives in Latin America.\n \n \n \n \n\n\n \n Amiel, T.; Soares, T.; and Ochoa, X.\n\n\n \n\n\n\n In Proceedings of the IX Latin American Conference in Learning Objects and Technologies (LACLO) 2014, volume 5, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"CreatingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{amiel_creating_2014,\n\ttitle = {Creating a map for {OER} initiatives in {Latin} {America}},\n\tvolume = {5},\n\tcopyright = {All rights reserved},\n\turl = {Amiel-LACLO2014.pdf http://ariadne.cti.espol.edu.ec/xavier/papers/Amiel-LACLO2014.pdf},\n\tbooktitle = {Proceedings of the {IX} {Latin} {American} {Conference} in {Learning} {Objects} and {Technologies} ({LACLO}) 2014},\n\tauthor = {Amiel, Tel and Soares, Tiago and Ochoa, Xavier},\n\tyear = {2014},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n A brief overview of quality inside learning object repositories.\n \n \n \n \n\n\n \n Cechinel, C.; and Ochoa, X.\n\n\n \n\n\n\n In Proceedings of the XV International Conference on Human Computer Interaction, pages 473–480, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{cechinel_brief_2014,\n\ttitle = {A brief overview of quality inside learning object repositories.},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Cechinel-Interaccion2014.pdf},\n\tbooktitle = {Proceedings of the {XV} {International} {Conference} on {Human} {Computer} {Interaction}},\n\tauthor = {Cechinel, Cristian and Ochoa, Xavier},\n\tyear = {2014},\n\tpages = {473--480},\n}\n
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\n  \n 2013\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n A Digital Ecosystem for the Collaborative Production of Open Textbooks: The LATIn Methodology.\n \n \n \n \n\n\n \n Silveira, I. F.; Ochoa, X.; Cuadros-Vargas, A.; Casas, A. P.; Casali, A.; Ortega, A.; Sprock, A. S.; Alves, C. H.; Collazos, C. A.; Claudia Deco; Cuadros-Vargas, E.; Knihs, E.; Parra, G.; Muñoz-Arteaga, J.; Santos, J. G. d.; Broisin, J.; Omar, N.; Motz, R.; Rodés, V.; and Bieliukas, Y. H. C.\n\n\n \n\n\n\n Journal of Information Technology Education: Research, 12: 225–249. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{silveira_digital_2013,\n\ttitle = {A {Digital} {Ecosystem} for the {Collaborative} {Production} of {Open} {Textbooks}: {The} {LATIn} {Methodology}},\n\tvolume = {12},\n\tcopyright = {All rights reserved},\n\turl = {http://www.jite.org/documents/Vol12/JITEv12ResearchP225-246SilveiraFT89.pdf},\n\tjournal = {Journal of Information Technology Education: Research},\n\tauthor = {Silveira, Ismar Frango and Ochoa, Xavier and Cuadros-Vargas, Alex and Casas, Alén Pérez and Casali, Ana and Ortega, Andre and Sprock, Antonio Silva and Alves, Carlos Henrique and Collazos, Cesar Alberto and {Claudia Deco} and Cuadros-Vargas, Ernesto and Knihs, Everton and Parra, Gonzalo and Muñoz-Arteaga, Jaime and Santos, Jéssica Gomes dos and Broisin, Julien and Omar, Nizam and Motz, Regina and Rodés, Virginia and Bieliukas, Yosly Hernández C.},\n\tyear = {2013},\n\tpages = {225--249},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Learning Object Analytics for Collections, Repositories & Federations.\n \n \n \n \n\n\n \n Sicilia, M.; Ochoa, X.; Stoitsis, G.; and Klerkx, J.\n\n\n \n\n\n\n In Proceedings of the Third International Conference on Learning Analytics and Knowledge, of LAK '13, pages 285–286, Leuven, Belgium, 2013. ACM\n \n\n\n\n
\n\n\n\n \n \n \"LearningPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{sicilia_learning_2013,\n\taddress = {Leuven, Belgium},\n\tseries = {{LAK} '13},\n\ttitle = {Learning {Object} {Analytics} for {Collections}, {Repositories} \\&\\#38; {Federations}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-1785-6},\n\turl = {http://doi.acm.org/10.1145/2460296.2460359},\n\tdoi = {10.1145/2460296.2460359},\n\tbooktitle = {Proceedings of the {Third} {International} {Conference} on {Learning} {Analytics} and {Knowledge}},\n\tpublisher = {ACM},\n\tauthor = {Sicilia, Miguel-Angel and Ochoa, Xavier and Stoitsis, Giannis and Klerkx, Joris},\n\tyear = {2013},\n\tpages = {285--286},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Automatic Classification of Answers to Discussion Forums According to the Cognitive Domain of Bloom’s Taxonomy using Text Mining and a Bayesian Classifier.\n \n \n \n \n\n\n \n Pincay, J.; and Ochoa, X.\n\n\n \n\n\n\n In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, pages 626–634, Chesapeake, VA, 2013. AACE\n \n\n\n\n
\n\n\n\n \n \n \"AutomaticPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pincay_automatic_2013,\n\taddress = {Chesapeake, VA},\n\ttitle = {Automatic {Classification} of {Answers} to {Discussion} {Forums} {According} to the {Cognitive} {Domain} of {Bloom}’s {Taxonomy} using {Text} {Mining} and a {Bayesian} {Classifier}},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Pincay-EDMEDIA2013.pdf},\n\tbooktitle = {Proceedings of {World} {Conference} on {Educational} {Multimedia}, {Hypermedia} and {Telecommunications}},\n\tpublisher = {AACE},\n\tauthor = {Pincay, Jhonny and Ochoa, Xavier},\n\tyear = {2013},\n\tpages = {626--634},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Editorial.\n \n \n \n \n\n\n \n Palavitsinis, N.; Klerkx, J.; and Ochoa, X.\n\n\n \n\n\n\n International Journal of Metadata, Semantics and Ontologies, 8(1): 1–2. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"EditorialPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{palavitsinis_editorial_2013,\n\ttitle = {Editorial},\n\tvolume = {8},\n\tcopyright = {All rights reserved},\n\turl = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84878722486&partnerID=40&md5=1bff52ca676c81dc4ac474735553336a},\n\tnumber = {1},\n\tjournal = {International Journal of Metadata, Semantics and Ontologies},\n\tauthor = {Palavitsinis, N. and Klerkx, J. and Ochoa, X.},\n\tyear = {2013},\n\tpages = {1--2},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Expertise estimation based on simple multimodal features.\n \n \n \n \n\n\n \n Ochoa, X.; Chiluiza, K.; Méndez, G.; Luzardo, G.; Guamán, B.; and Castells, J.\n\n\n \n\n\n\n In Proceedings of the 15th ACM on International conference on multimodal interaction, pages 583–590, 2013. ACM\n \n\n\n\n
\n\n\n\n \n \n \"ExpertisePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{ochoa_expertise_2013,\n\ttitle = {Expertise estimation based on simple multimodal features},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-ICMI2013.pdf},\n\tbooktitle = {Proceedings of the 15th {ACM} on {International} conference on multimodal interaction},\n\tpublisher = {ACM},\n\tauthor = {Ochoa, Xavier and Chiluiza, Katherine and Méndez, Gonzalo and Luzardo, Gonzalo and Guamán, Bruno and Castells, James},\n\tyear = {2013},\n\tpages = {583--590},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Recomendación de Objetos de Aprendizaje basado en el Perfil del Usuario y la Información de Atención Contextualizada.\n \n \n \n\n\n \n Ochoa, X.; and Carrillo, G.\n\n\n \n\n\n\n In Memorias de la 7ma. Conferencia Latinoamericana de Tecnologías y Objetos de Aprendizaje (LACLO 2013), 2013. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{ochoa_recomendacion_2013,\n\ttitle = {Recomendación de {Objetos} de {Aprendizaje} basado en el {Perfil} del {Usuario} y la {Información} de {Atención} {Contextualizada}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Memorias de la 7ma. {Conferencia} {Latinoamericana} de {Tecnologías} y {Objetos} de {Aprendizaje} ({LACLO} 2013)},\n\tauthor = {Ochoa, Xavier and Carrillo, Gladys},\n\tyear = {2013},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Analysis of Existing Technological Platforms for the Collaborative Production of Open Textbooks.\n \n \n \n \n\n\n \n Ochoa, X.; Casali, A.; Deco, C.; Gerling, V.; Frango, I.; Fager, J.; Carrillo, G.; Parra, G.; Muñoz-Arteaga, J.; Maturana, J.; Araya, E.; and Motz, R.\n\n\n \n\n\n\n In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, pages 1106–1115, 2013. AACE\n \n\n\n\n
\n\n\n\n \n \n \"AnalysisPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ochoa_analysis_2013,\n\ttitle = {Analysis of {Existing} {Technological} {Platforms} for the {Collaborative} {Production} of {Open} {Textbooks}},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-EDMEDIA2013.pdf},\n\tbooktitle = {Proceedings of {World} {Conference} on {Educational} {Multimedia}, {Hypermedia} and {Telecommunications}},\n\tpublisher = {AACE},\n\tauthor = {Ochoa, Xavier and Casali, Ana and Deco, Claudia and Gerling, Valeria and Frango, Ismar and Fager, Jose and Carrillo, Gladys and Parra, Gonzalo and Muñoz-Arteaga, Jaime and Maturana, Jorge and Araya, Erick and Motz, Regina},\n\tyear = {2013},\n\tpages = {1106--1115},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Handbook of Metadata, Semantics And Ontologies.\n \n \n \n \n\n\n \n Ochoa, X.\n\n\n \n\n\n\n In Sicilia, M., editor(s), pages 63–88. World Scientific, 2013.\n \n\n\n\n
\n\n\n\n \n \n \"HandbookPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@incollection{sicilia_handbook_2013,\n\ttitle = {Handbook of {Metadata}, {Semantics} {And} {Ontologies}},\n\tcopyright = {All rights reserved},\n\turl = {http://www.worldscientific.com/worldscibooks/10.1142/7077},\n\tpublisher = {World Scientific},\n\tauthor = {Ochoa, Xavier},\n\teditor = {Sicilia, Miguel-Angel},\n\tyear = {2013},\n\tpages = {63--88},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n LAK 2013 chairs' welcome.\n \n \n \n \n\n\n \n Duval, E.; and Ochoa, X.\n\n\n \n\n\n\n In ACM International Conference Proceeding Series, pages iii, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"LAKPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{duval_lak_2013,\n\ttitle = {{LAK} 2013 chairs' welcome},\n\tcopyright = {All rights reserved},\n\turl = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84876466094&partnerID=40&md5=2842d5e898b4cf665c1ed1d1c0c3dbf4},\n\tbooktitle = {{ACM} {International} {Conference} {Proceeding} {Series}},\n\tauthor = {Duval, E. and Ochoa, X.},\n\tyear = {2013},\n\tpages = {iii},\n}\n\n\n\n
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\n  \n 2012\n \n \n (6)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n Semi-automatic Assembly of Learning Resources.\n \n \n \n\n\n \n Verbert, K.; Ochoa, X.; Pardo, A.; and Duval, E.\n\n\n \n\n\n\n Computers and Education, 59(4): 1257–1272. 2012.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{verbert_semi-automatic_2012,\n\ttitle = {Semi-automatic {Assembly} of {Learning} {Resources}},\n\tvolume = {59},\n\tcopyright = {All rights reserved},\n\tdoi = {http://dx.doi.org/10.1016/j.compedu.2012.06.005},\n\tabstract = {Technology Enhanced Learning is a research field that has matured considerably over the last decade. Many technical solutions to support design, authoring and use of learning activities and resources have been developed. The first datasets that reflect the tracking of actual use of these tools in real-life settings are beginning to become available. In this article, we present an exploratory study that relies on these datasets to support semi-automatic assembly of learning activities and resources for specific contexts. Starting from learning designs and other online sources that describe well designed learning experiences as they were used in practice, we derive sequencing patterns that capture re-occurring patterns of activities. A semi-automatic assembly framework uses these patterns to support teachers in the design and authoring of course activities. We present a case study that integrates recommendation support for sequencing activities as well as associated resources in the LAMS learning activity environment. Results indicate that the perceived usefulness is high: both teachers with expertise in the use of learning design tools as well as teachers with no background knowledge in the area indicate that the recommendations helped them in the authoring process. In addition, they feel more confident using learning design tools when support is provided that is driven by best practice knowledge.},\n\tnumber = {4},\n\tjournal = {Computers and Education},\n\tauthor = {Verbert, Katrien and Ochoa, Xavier and Pardo, Abelardo and Duval, Erik},\n\tyear = {2012},\n\tpages = {1257--1272},\n}\n\n\n\n
\n
\n\n\n
\n Technology Enhanced Learning is a research field that has matured considerably over the last decade. Many technical solutions to support design, authoring and use of learning activities and resources have been developed. The first datasets that reflect the tracking of actual use of these tools in real-life settings are beginning to become available. In this article, we present an exploratory study that relies on these datasets to support semi-automatic assembly of learning activities and resources for specific contexts. Starting from learning designs and other online sources that describe well designed learning experiences as they were used in practice, we derive sequencing patterns that capture re-occurring patterns of activities. A semi-automatic assembly framework uses these patterns to support teachers in the design and authoring of course activities. We present a case study that integrates recommendation support for sequencing activities as well as associated resources in the LAMS learning activity environment. Results indicate that the perceived usefulness is high: both teachers with expertise in the use of learning design tools as well as teachers with no background knowledge in the area indicate that the recommendations helped them in the authoring process. In addition, they feel more confident using learning design tools when support is provided that is driven by best practice knowledge.\n
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\n \n\n \n \n \n \n \n Context-Aware Recommender Systems for Learning: A Survey and Future Challenges.\n \n \n \n\n\n \n Verbert, K.; Manouselis, N.; Ochoa, X.; Martin Wolpers; Drachsler, H.; Bosnic, I.; and Duval, E.\n\n\n \n\n\n\n IEEE Transactions on Learning Technologies, 99(PrePrints): 318 – 335. 2012.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{verbert_context-aware_2012,\n\ttitle = {Context-{Aware} {Recommender} {Systems} for {Learning}: {A} {Survey} and {Future} {Challenges}},\n\tvolume = {99},\n\tcopyright = {All rights reserved},\n\tissn = {1939-1382},\n\tdoi = {http://doi.ieeecomputersociety.org/10.1109/TLT.2012.11},\n\tabstract = {Recommender systems have been researched extensively by the Technology Enhanced Learning (℡) community in the last decade. By identifying suitable resources from a potentially overwhelming variety of choices, such systems offer a promising approach to facilitate both learning and teaching tasks. As learning is taking place in extremely diverse and rich environments, the incorporation of contextual information about the user in the recommendation process has attracted major interest. Such contextualization is researched as a paradigm for building intelligent systems that can better predict and anticipate the needs of users, and act more efficiently in response to their behavior. In this paper, we try to assess the degree to which current work in ℡ recommender systems has achieved this, as well as outline areas in which further work is needed. First, we present a context framework that identifies relevant context dimensions for ℡ applications. Then, we present an analysis of existing ℡ recommender systems along these dimensions. Finally, based on our survey results, we outline topics on which further research is needed.},\n\tnumber = {PrePrints},\n\tjournal = {IEEE Transactions on Learning Technologies},\n\tauthor = {Verbert, Katrien and Manouselis, Nikos and Ochoa, Xavier and {Martin Wolpers} and Drachsler, Hendrik and Bosnic, Ivana and Duval, Erik},\n\tyear = {2012},\n\tpages = {318 -- 335},\n}\n\n\n\n
\n
\n\n\n
\n Recommender systems have been researched extensively by the Technology Enhanced Learning (℡) community in the last decade. By identifying suitable resources from a potentially overwhelming variety of choices, such systems offer a promising approach to facilitate both learning and teaching tasks. As learning is taking place in extremely diverse and rich environments, the incorporation of contextual information about the user in the recommendation process has attracted major interest. Such contextualization is researched as a paradigm for building intelligent systems that can better predict and anticipate the needs of users, and act more efficiently in response to their behavior. In this paper, we try to assess the degree to which current work in ℡ recommender systems has achieved this, as well as outline areas in which further work is needed. First, we present a context framework that identifies relevant context dimensions for ℡ applications. Then, we present an analysis of existing ℡ recommender systems along these dimensions. Finally, based on our survey results, we outline topics on which further research is needed.\n
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\n \n\n \n \n \n \n \n \n Percepciones, actitudes y prácticas respecto a los libros de texto, digitales y en formatos abiertos por parte de estudiantes de universidades de América Latina.\n \n \n \n \n\n\n \n Rodés, V.; Pérez Casas, A.; Ochoa, X.; and Frango da Silveira, I.\n\n\n \n\n\n\n In Anais dos Workshops do Congresso Brasileiro de Informática na Educação, volume 1, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"Percepciones,Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{rodes_percepciones_2012,\n\ttitle = {Percepciones, actitudes y prácticas respecto a los libros de texto, digitales y en formatos abiertos por parte de estudiantes de universidades de {América} {Latina}},\n\tvolume = {1},\n\tcopyright = {All rights reserved},\n\turl = {http://br-ie.org/pub/index.php/wcbie/article/view/1893/1656},\n\tbooktitle = {Anais dos {Workshops} do {Congresso} {Brasileiro} de {Informática} na {Educação}},\n\tauthor = {Rodés, V. and Pérez Casas, A. and Ochoa, X. and Frango da Silveira, I.},\n\tyear = {2012},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Large-Scale storage and retrieval of educational metadata using an RDF Store.\n \n \n \n \n\n\n \n Ochoa, X.; Ortega, A.; Carrillo, G.; and Villavicencio, C.\n\n\n \n\n\n\n In Workshop on Open Learning Technologies Transfer, pages 60–68, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"Large-ScalePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ochoa_large-scale_2012,\n\ttitle = {Large-{Scale} storage and retrieval of educational metadata using an {RDF} {Store}},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-IGUAL2012.pdf},\n\tabstract = {There is a long tradition of the use of metadata stores in the educational setting. These stores usually present a mismatch problem between the structure of the metadata, usually some form of XML, and the structure of the repository itself, for example relational databases, or document-oriented stores. This mismatch lead to reduced functionality of the metadata store. This work presents a different alternative, using RDF as the internal representation of educational repositories. The architecture and actual implementation of such a system is also discussed. The use of a semantic representation of the educational metadata opens the door for novel functionalities that could provide a more intelligent repository to the final user.},\n\tbooktitle = {Workshop on {Open} {Learning} {Technologies} {Transfer}},\n\tauthor = {Ochoa, Xavier and Ortega, Andre and Carrillo, Gladys and Villavicencio, Carlos},\n\tyear = {2012},\n\tpages = {60--68},\n}\n\n\n\n
\n
\n\n\n
\n There is a long tradition of the use of metadata stores in the educational setting. These stores usually present a mismatch problem between the structure of the metadata, usually some form of XML, and the structure of the repository itself, for example relational databases, or document-oriented stores. This mismatch lead to reduced functionality of the metadata store. This work presents a different alternative, using RDF as the internal representation of educational repositories. The architecture and actual implementation of such a system is also discussed. The use of a semantic representation of the educational metadata opens the door for novel functionalities that could provide a more intelligent repository to the final user.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Populating Learning Object Repositories with Hidden Internal Quality Information.\n \n \n \n \n\n\n \n Cechinel, C.; Camargo, S. d. S.; Ochoa, X.; Sicilia, M.; and Sanchez-Alonso, S.\n\n\n \n\n\n\n In Recommender Systems in Technology Enhanced Learning. RecSys℡-2012, pages 11–22, 2012. \n \n\n\n\n
\n\n\n\n \n \n Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{cechinel_populating_2012,\n\ttitle = {Populating {Learning} {Object} {Repositories} with {Hidden} {Internal} {Quality} {Information}},\n\tcopyright = {All rights reserved},\n\turl = {http://ceur-ws.org/Vol-896/paper1.pdf},\n\tabstract = {It is known that current Learning Object Repositories adopt strategies for quality assessment of their resources that rely on the impressions of quality given by the members of the repository community. Although this strategy can be considered effective at some extent, the number of resources inside repositories tends to increase more rapidly than the number of evaluations given by this community, thus leaving several resources of the repository without any quality assessment. The present work describes the results of an experiment for automatically generate quality information about learning resources inside repositories through the use of Artificial Neural Networks models. We were able to generate models for classifying resources between good and not-good with accuracies that vary from 50\\% to 80\\% depending on the given subset. The preliminary results found here point out the feasibility of such approach and can be used as a starting point for the pursuit of automatically generation of internal quality information about resources inside repositories.},\n\tbooktitle = {Recommender {Systems} in {Technology} {Enhanced} {Learning}. {RecSys}℡-2012},\n\tauthor = {Cechinel, Cristian and Camargo, Sandro da Silva and Ochoa, Xavier and Sicilia, Miguel-Angel and Sanchez-Alonso, Salvador},\n\tyear = {2012},\n\tpages = {11--22},\n}\n\n\n\n
\n
\n\n\n
\n It is known that current Learning Object Repositories adopt strategies for quality assessment of their resources that rely on the impressions of quality given by the members of the repository community. Although this strategy can be considered effective at some extent, the number of resources inside repositories tends to increase more rapidly than the number of evaluations given by this community, thus leaving several resources of the repository without any quality assessment. The present work describes the results of an experiment for automatically generate quality information about learning resources inside repositories through the use of Artificial Neural Networks models. We were able to generate models for classifying resources between good and not-good with accuracies that vary from 50% to 80% depending on the given subset. The preliminary results found here point out the feasibility of such approach and can be used as a starting point for the pursuit of automatically generation of internal quality information about resources inside repositories.\n
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\n\n\n
\n \n\n \n \n \n \n \n \n Collaborative Methodologies for Writing Open Educational Textbooks: a State-of art Review.\n \n \n \n \n\n\n \n Casali, A.; Silva Sprock, A.; Alves, C.; Deco, C.; Frango Silveira, I.; Muñoz-Arteaga, J.; Gomes dos Santos, J.; Broisin, J.; Morales, R.; C Hernández Bieliuskas, Y.; and others\n\n\n \n\n\n\n In Anais dos Workshops do Congresso Brasileiro de Informática na Educação, volume 1, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"CollaborativePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{casali_collaborative_2012,\n\ttitle = {Collaborative {Methodologies} for {Writing} {Open} {Educational} {Textbooks}: a {State}-of art {Review}},\n\tvolume = {1},\n\tcopyright = {All rights reserved},\n\turl = {http://ceie-sbc.tempsite.ws/pub/index.php/wcbie/article/view/1896/1659},\n\tbooktitle = {Anais dos {Workshops} do {Congresso} {Brasileiro} de {Informática} na {Educação}},\n\tauthor = {Casali, A. and Silva Sprock, A. and Alves, C.H. and Deco, C. and Frango Silveira, I. and Muñoz-Arteaga, J. and Gomes dos Santos, J. and Broisin, J. and Morales, R. and C Hernández Bieliuskas, Y. and {others}},\n\tyear = {2012},\n}\n\n\n\n
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\n  \n 2011\n \n \n (6)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n \n Towards New Computational Architectures for Mass-Collaborative Open Educational Resources.\n \n \n \n \n\n\n \n Silveira, I. F.; Ochoa, X.; Sprock, A. S.; Mustaro, P. N.; and Bieluskas, Y. C. H.\n\n\n \n\n\n\n International Journal of Digital Information and Wireless Communications (IJDIWC), 1(2): 526–539. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{silveira_towards_2011,\n\ttitle = {Towards {New} {Computational} {Architectures} for {Mass}-{Collaborative} {Open} {Educational} {Resources}},\n\tvolume = {1},\n\tcopyright = {All rights reserved},\n\turl = {http://www.sdiwc.net/noahjohn/web-admin/upload-pdf/00000131.pdf},\n\tabstract = {Open Educational Resources offer several benefits mostly in education and training. Being potentially reusable, their use can reduce time and cost of developing educational programs, so that these savings could be transferred directly to students through the production of a large range of open, freely available content, which vary from hypermedia to digital textbooks. This paper discuss this issue and presents a project and a research network that, in spite of being directed to Latin America's reality and need, search for answers that would help to solve some educational questions that go beyond countries' boundaries.},\n\tnumber = {2},\n\tjournal = {International Journal of Digital Information and Wireless Communications (IJDIWC)},\n\tauthor = {Silveira, Ismar Frango and Ochoa, Xavier and Sprock, Antonio Silva and Mustaro, Pollyana Notargiacomo and Bieluskas, Yosly C. Hernandez},\n\tyear = {2011},\n\tpages = {526--539},\n}\n\n\n\n
\n
\n\n\n
\n Open Educational Resources offer several benefits mostly in education and training. Being potentially reusable, their use can reduce time and cost of developing educational programs, so that these savings could be transferred directly to students through the production of a large range of open, freely available content, which vary from hypermedia to digital textbooks. This paper discuss this issue and presents a project and a research network that, in spite of being directed to Latin America's reality and need, search for answers that would help to solve some educational questions that go beyond countries' boundaries.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n La Experiencia de ARIADNE: Creando una Red de Reutilización de Objetos de Aprendizaje a través de Estándares y Especificaciones.\n \n \n \n \n\n\n \n Santos, J. L.; Ochoa, X.; Parra, G.; and Duval, E.\n\n\n \n\n\n\n IEEE-RITA: Latin-American Learning Technologies Journal, 6(3): 112–117. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"LaPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{santos_experiencia_2011,\n\ttitle = {La {Experiencia} de {ARIADNE}: {Creando} una {Red} de {Reutilización} de {Objetos} de {Aprendizaje} a través de {Estándares} y {Especificaciones}},\n\tvolume = {6},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Santos-RITA.pdf},\n\tabstract = {ARIADNE is a European foundation that aims to foster “Share and Reuse” of learning resources. To support this goal, ARIADNE has created an infrastructure for managing learning objects in an open and scalable way. This paper describes the technical approach behind our open, standards based infrastructure, how content providers can connect to it, and the value they can derive from doing so. As such, the abundance that we help to unlock will act as a platform for innovation by tool developers, trainers and teachers and learners themselves.},\n\tnumber = {3},\n\tjournal = {IEEE-RITA: Latin-American Learning Technologies Journal},\n\tauthor = {Santos, Jose Luis and Ochoa, Xavier and Parra, Gonzalo and Duval, Erik},\n\tyear = {2011},\n\tpages = {112--117},\n}\n\n\n\n
\n
\n\n\n
\n ARIADNE is a European foundation that aims to foster “Share and Reuse” of learning resources. To support this goal, ARIADNE has created an infrastructure for managing learning objects in an open and scalable way. This paper describes the technical approach behind our open, standards based infrastructure, how content providers can connect to it, and the value they can derive from doing so. As such, the abundance that we help to unlock will act as a platform for innovation by tool developers, trainers and teachers and learners themselves.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n On the use of Learning Object Metadata: the GLOBE experience.\n \n \n \n \n\n\n \n Ochoa, X; Klerkx, J.; Vandeputte, B.; and Duval, E.\n\n\n \n\n\n\n In Proceedings of the European Conference on Technology Enhanced Learning (EC℡) 2011, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"OnPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ochoa_use_2011,\n\ttitle = {On the use of {Learning} {Object} {Metadata}: the {GLOBE} experience},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-EC℡2011.pdf},\n\tbooktitle = {Proceedings of the {European} {Conference} on {Technology} {Enhanced} {Learning} ({EC}℡) 2011},\n\tauthor = {Ochoa, X and Klerkx, J. and Vandeputte, B. and Duval, E.},\n\tyear = {2011},\n}\n\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Collaborative Open Textbooks for Latin America – the LATIn Project.\n \n \n \n \n\n\n \n Ochoa, X; Frango, I.; and Silva, A.\n\n\n \n\n\n\n In Information Society (i-Society), 2011 International Conference on, pages 398 – 403, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"CollaborativePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ochoa_collaborative_2011,\n\ttitle = {Collaborative {Open} {Textbooks} for {Latin} {America} – the {LATIn} {Project}},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-iSociety2011.pdf},\n\tdoi = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5978479},\n\tabstract = {This paper presents the Latin American Open Textbook Initiative, which aims to help to solve the problem of the high cost of textbooks for higher education in Latin America. The main goal is the creation of a supporting architecture, methodologies and policies for the dissemination of cooperative open textbooks aimed for higher education, customized specifically for the region.},\n\tbooktitle = {Information {Society} (i-{Society}), 2011 {International} {Conference} on},\n\tauthor = {Ochoa, X and Frango, I. and Silva, A.},\n\tyear = {2011},\n\tpages = {398 -- 403},\n}\n\n\n\n
\n
\n\n\n
\n This paper presents the Latin American Open Textbook Initiative, which aims to help to solve the problem of the high cost of textbooks for higher education in Latin America. The main goal is the creation of a supporting architecture, methodologies and policies for the dissemination of cooperative open textbooks aimed for higher education, customized specifically for the region.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Learnometrics: metrics for learning objects.\n \n \n \n \n\n\n \n Ochoa, X.\n\n\n \n\n\n\n In Proceedings of the 1st International Conference on Learning Analytics and Knowledge, of LAK '11, pages 1–8, Banff, Alberta, Canada, 2011. ACM\n \n\n\n\n
\n\n\n\n \n \n \"Learnometrics:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ochoa_learnometrics:_2011,\n\taddress = {Banff, Alberta, Canada},\n\tseries = {{LAK} '11},\n\ttitle = {Learnometrics: metrics for learning objects},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-0944-8},\n\turl = {http://doi.acm.org/10.1145/2090116.2090117},\n\tdoi = {http://doi.acm.org/10.1145/2090116.2090117},\n\tabstract = {The field of Technology Enhanced Learning (℡) in general, has the potential to solve one of the most important challenges of our time: enable everyone to learn anything, anytime, anywhere. However, if we look back at more than 50 years of research in ℡, it is not clear where we are in terms of reaching our goal and whether we are, indeed, moving forward. The pace at which technology and new ideas evolve have created a rapid, even exponential, rate of change. This rapid change, together with the natural difficulty to measure the impact of technology in something as complex as learning, has lead to a field with abundance of new, good ideas and scarcity of evaluation studies. This lack of evaluation has resulted into the duplication of efforts and a sense of no "ground truth" or "basic theory' of ℡. This article is an attempt to stop, look back and measure, if not the impact, at least the status of a small fraction of ℡, Learning Object Technologies, in the real world. The measured apparent inexistence of the reuse paradox, the two phase linear growth of repositories or the ineffective metadata quality assessment of humans are clear reminders that even bright theoretical discussions do not compensate the lack of experimentation and measurement. Both theoretical and empirical studies should go hand in hand in order to advance the status of the field. This article is an invitation to other researchers in the field to apply Informetric techniques to measure, understand and apply in their tools the vast amount of information generated by the usage of Technology Enhanced Learning systems.},\n\tbooktitle = {Proceedings of the 1st {International} {Conference} on {Learning} {Analytics} and {Knowledge}},\n\tpublisher = {ACM},\n\tauthor = {Ochoa, Xavier},\n\tyear = {2011},\n\tpages = {1--8},\n}\n\n\n\n
\n
\n\n\n
\n The field of Technology Enhanced Learning (℡) in general, has the potential to solve one of the most important challenges of our time: enable everyone to learn anything, anytime, anywhere. However, if we look back at more than 50 years of research in ℡, it is not clear where we are in terms of reaching our goal and whether we are, indeed, moving forward. The pace at which technology and new ideas evolve have created a rapid, even exponential, rate of change. This rapid change, together with the natural difficulty to measure the impact of technology in something as complex as learning, has lead to a field with abundance of new, good ideas and scarcity of evaluation studies. This lack of evaluation has resulted into the duplication of efforts and a sense of no \"ground truth\" or \"basic theory' of ℡. This article is an attempt to stop, look back and measure, if not the impact, at least the status of a small fraction of ℡, Learning Object Technologies, in the real world. The measured apparent inexistence of the reuse paradox, the two phase linear growth of repositories or the ineffective metadata quality assessment of humans are clear reminders that even bright theoretical discussions do not compensate the lack of experimentation and measurement. Both theoretical and empirical studies should go hand in hand in order to advance the status of the field. This article is an invitation to other researchers in the field to apply Informetric techniques to measure, understand and apply in their tools the vast amount of information generated by the usage of Technology Enhanced Learning systems.\n
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\n\n\n
\n \n\n \n \n \n \n \n \n Modeling the Macro-Behavior of Learning Object Repositories.\n \n \n \n \n\n\n \n Ochoa, X.\n\n\n \n\n\n\n Interdisciplinary Journal of E-Learning and Learning Objects, 7: 25–35. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"ModelingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ochoa_modeling_2011,\n\ttitle = {Modeling the {Macro}-{Behavior} of {Learning} {Object} {Repositories}},\n\tvolume = {7},\n\tcopyright = {All rights reserved},\n\turl = {http://www.ijello.org/Volume7/IJELLOv7p025-035Ochoa739.pdf},\n\tabstract = {Learning Object Repositories (LOR) are the result of the activity of hundreds or thousands of contributing individuals. It has been shown in a previous work by the author (Ochoa \\& Duval, 2008) that LORs have an interesting macro-behavior, mostly governed by long-tailed distribu- tions. The shape of these distributions provides valuable information for the management and operation of LORs. However, the reason why these distributions appear is not known. This work proposes a simple model to explain this macro-behavior as the consequence of very simple micro- behavior of individual contributors, more specifically their number, production rate, and lifetime in the repository. This model is formally presented and successfully validated against data from existing LORs. While simple, this model seems to explain most of the large-scale measurements in function of the small-scale interactions. Finally, this work discusses the implications that this model has in the planning and maintenance of new and existing LORs.},\n\tjournal = {Interdisciplinary Journal of E-Learning and Learning Objects},\n\tauthor = {Ochoa, Xavier},\n\tyear = {2011},\n\tpages = {25--35},\n}\n\n\n\n
\n
\n\n\n
\n Learning Object Repositories (LOR) are the result of the activity of hundreds or thousands of contributing individuals. It has been shown in a previous work by the author (Ochoa & Duval, 2008) that LORs have an interesting macro-behavior, mostly governed by long-tailed distribu- tions. The shape of these distributions provides valuable information for the management and operation of LORs. However, the reason why these distributions appear is not known. This work proposes a simple model to explain this macro-behavior as the consequence of very simple micro- behavior of individual contributors, more specifically their number, production rate, and lifetime in the repository. This model is formally presented and successfully validated against data from existing LORs. While simple, this model seems to explain most of the large-scale measurements in function of the small-scale interactions. Finally, this work discusses the implications that this model has in the planning and maintenance of new and existing LORs.\n
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\n  \n 2010\n \n \n (2)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Modeling the Macro-Behavior of Learning Object Repositories.\n \n \n \n \n\n\n \n Ochoa, X.\n\n\n \n\n\n\n In Proceedings of the Fifth Latin American Conference on Learning Objects, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"ModelingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ochoa_modeling_2010,\n\ttitle = {Modeling the {Macro}-{Behavior} of {Learning} {Object} {Repositories}},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-LACLO2010.pdf},\n\tabstract = {Learning Object Repositories (LOR) are the result of the activity of hundreds or thousands of contributing individuals. It has been shown in Ochoa \\& Duval, 2009 that LOR have an interesting macro-behavior, mostly governed by long-tailed distributions. The shape of these distributions provides valuable information for the management and operation of LORs. However, the reason why these distributions appear is not known. This work proposes a simple model to explain this macro-behavior the consequence of the very simple micro-behavior of individual contributors, more specifically their number, production rate and lifetime in the repository. This model is formally presented and successfully validated against data from existing LORs. While simple, this model seems to explain most of the large-scale measurements in function of the small-scale interactions. Finally, this work discusses the implications that this model has in the planning and maintenance of new and existing LORs.},\n\tbooktitle = {Proceedings of the {Fifth} {Latin} {American} {Conference} on {Learning} {Objects}},\n\tauthor = {Ochoa, Xavier},\n\tyear = {2010},\n}\n\n\n\n
\n
\n\n\n
\n Learning Object Repositories (LOR) are the result of the activity of hundreds or thousands of contributing individuals. It has been shown in Ochoa & Duval, 2009 that LOR have an interesting macro-behavior, mostly governed by long-tailed distributions. The shape of these distributions provides valuable information for the management and operation of LORs. However, the reason why these distributions appear is not known. This work proposes a simple model to explain this macro-behavior the consequence of the very simple micro-behavior of individual contributors, more specifically their number, production rate and lifetime in the repository. This model is formally presented and successfully validated against data from existing LORs. While simple, this model seems to explain most of the large-scale measurements in function of the small-scale interactions. Finally, this work discusses the implications that this model has in the planning and maintenance of new and existing LORs.\n
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\n \n\n \n \n \n \n \n \n Connexions: a Social and Successful Anomaly among Learning Object Repositories.\n \n \n \n \n\n\n \n Ochoa, X.\n\n\n \n\n\n\n Journal of Emerging Technologies in Web Intelligence, 2(1): 11–22. 2010.\n \n\n\n\n
\n\n\n\n \n \n \"Connexions:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ochoa_connexions:_2010,\n\ttitle = {Connexions: a {Social} and {Successful} {Anomaly} among {Learning} {Object} {Repositories}},\n\tvolume = {2},\n\tcopyright = {All rights reserved},\n\turl = {http://academypublisher.com/ojs/index.php/jetwi/article/view/02011122},\n\tabstract = {Connexions is a Learning Object Repository that has gained notoriety as a successful example of collaborative creation of learning materials. In a previous quantitative study about the characteristics of learning material repositories, Connexions presented some anomalies that prevented it to be classified together with other Learning Object Repositories. This paper, working with updated data, finds that those anomalies are not errors of the previous study, but that the anomalies have increased and are more strongly expressed. Moreover, those anomalies, namely the exponential growth in the number of contributors and content, seem to be the reason behind the success of Connexions. It is concluded in this work that Connexions strategy of “release early, release often”, together with the openness of its core community, that welcome and support newcomers and sporadic contributors, offer a reasonable explanation for the exponential growth trends found in Connection, that can be classified now as a Social Learning Object Repository.},\n\tnumber = {1},\n\tjournal = {Journal of Emerging Technologies in Web Intelligence},\n\tauthor = {Ochoa, Xavier},\n\tyear = {2010},\n\tpages = {11--22},\n}\n\n\n\n
\n
\n\n\n
\n Connexions is a Learning Object Repository that has gained notoriety as a successful example of collaborative creation of learning materials. In a previous quantitative study about the characteristics of learning material repositories, Connexions presented some anomalies that prevented it to be classified together with other Learning Object Repositories. This paper, working with updated data, finds that those anomalies are not errors of the previous study, but that the anomalies have increased and are more strongly expressed. Moreover, those anomalies, namely the exponential growth in the number of contributors and content, seem to be the reason behind the success of Connexions. It is concluded in this work that Connexions strategy of “release early, release often”, together with the openness of its core community, that welcome and support newcomers and sporadic contributors, offer a reasonable explanation for the exponential growth trends found in Connection, that can be classified now as a Social Learning Object Repository.\n
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\n  \n 2009\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n \n Exploratory Analysis of the Main Characteristics of Tags and Tagging of Educational Resources in a Multi-lingual Context.\n \n \n \n \n\n\n \n Vourikari, R.; and Ochoa, X.\n\n\n \n\n\n\n Journal of Digital Information, 10(2): 10. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"ExploratoryPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{vourikari_exploratory_2009,\n\ttitle = {Exploratory {Analysis} of the {Main} {Characteristics} of {Tags} and {Tagging} of {Educational} {Resources} in a {Multi}-lingual {Context}},\n\tvolume = {10},\n\tcopyright = {All rights reserved},\n\turl = {http://journals.tdl.org/jodi/article/viewArticle/447},\n\tabstract = {Although social, collaborative classification through tagging has been the focus of recent research, the effect of multi-linguality is often overlooked. This work presents an exploratory study of the production and use of tags in multiple languages in a context of European Learning Resources Exchange. We describe a tagging tool used by teachers from 6 countries and study the main characteristics of tags and how users tag when multiple languages are presented. We find early indication that tags and bookmarks could be used to facilitate the discovery of educational resources across country and language borders. “Hiding all but the right tags” becomes crucial for the success of a multi-lingual collaborative tagging system.},\n\tnumber = {2},\n\tjournal = {Journal of Digital Information},\n\tauthor = {Vourikari, Riina and Ochoa, Xavier},\n\tyear = {2009},\n\tpages = {10},\n}\n\n\n\n
\n
\n\n\n
\n Although social, collaborative classification through tagging has been the focus of recent research, the effect of multi-linguality is often overlooked. This work presents an exploratory study of the production and use of tags in multiple languages in a context of European Learning Resources Exchange. We describe a tagging tool used by teachers from 6 countries and study the main characteristics of tags and how users tag when multiple languages are presented. We find early indication that tags and bookmarks could be used to facilitate the discovery of educational resources across country and language borders. “Hiding all but the right tags” becomes crucial for the success of a multi-lingual collaborative tagging system.\n
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\n \n\n \n \n \n \n \n The Ariadne Infrastructure for Managing and Storing Metadata.\n \n \n \n\n\n \n Ternier, S.; Verbert, K.; Parra, G.; Vandeputte, B.; Klerkx, J.; Duval, E.; Ordóñez, V.; and Ochoa, X.\n\n\n \n\n\n\n IEEE Internet Computing, 13(4): 18–25. 2009.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ternier_ariadne_2009,\n\ttitle = {The {Ariadne} {Infrastructure} for {Managing} and {Storing} {Metadata}},\n\tvolume = {13},\n\tcopyright = {All rights reserved},\n\tissn = {1089-7801},\n\tdoi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2009.90},\n\tnumber = {4},\n\tjournal = {IEEE Internet Computing},\n\tauthor = {Ternier, Stefaan and Verbert, Katrien and Parra, Gonzalo and Vandeputte, Bram and Klerkx, Joris and Duval, Erik and Ordóñez, Vicente and Ochoa, Xavier},\n\tyear = {2009},\n\tpages = {18--25},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Who we are: Analysis of 10 years of the ED-Media Conference.\n \n \n \n \n\n\n \n Ochoa, X.; Mendez, G.; and Duval, E.\n\n\n \n\n\n\n In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications ED-Media 2009, pages 189–200, 2009. \n \n\n\n\n
\n\n\n\n \n \n \"WhoPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ochoa_who_2009,\n\ttitle = {Who we are: {Analysis} of 10 years of the {ED}-{Media} {Conference}},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-EDMedia2009.pdf},\n\tbooktitle = {Proceedings of {World} {Conference} on {Educational} {Multimedia}, {Hypermedia} and {Telecommunications} {ED}-{Media} 2009},\n\tauthor = {Ochoa, Xavier and Mendez, Gonzalo and Duval, Erik},\n\tyear = {2009},\n\tpages = {189--200},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Automatic Evaluation of Metadata Quality in Digital Libraries.\n \n \n \n \n\n\n \n Ochoa, X.; and Duval, E.\n\n\n \n\n\n\n International Journal of Digital Libraries, 10(2): 67–91. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"AutomaticPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ochoa_automatic_2009,\n\ttitle = {Automatic {Evaluation} of {Metadata} {Quality} in {Digital} {Libraries}},\n\tvolume = {10},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-IJDL2009.pdf},\n\tdoi = {10.1007/s00799-009-0054-4},\n\tnumber = {2},\n\tjournal = {International Journal of Digital Libraries},\n\tauthor = {Ochoa, Xavier and Duval, Erik},\n\tyear = {2009},\n\tpages = {67--91},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Quantitative Analysis of Learning Object Repositories.\n \n \n \n \n\n\n \n Ochoa, X.; and Duval, E.\n\n\n \n\n\n\n IEEE Transactions on Learning Technologies, 2(3): 226–238. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"QuantitativePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ochoa_quantitative_2009,\n\ttitle = {Quantitative {Analysis} of {Learning} {Object} {Repositories}},\n\tvolume = {2},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-TLT2009b.pdf},\n\tnumber = {3},\n\tjournal = {IEEE Transactions on Learning Technologies},\n\tauthor = {Ochoa, Xavier and Duval, Erik},\n\tyear = {2009},\n\tpages = {226--238},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Learnometrica: Métricas para Objetos de Aprendizaje.\n \n \n \n\n\n \n Ochoa, X.\n\n\n \n\n\n\n In Recursos Digitales para el Aprendizaje - CcITA 2009, pages 34–37, 2009. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ochoa_learnometrica:_2009,\n\ttitle = {Learnometrica: {Métricas} para {Objetos} de {Aprendizaje}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Recursos {Digitales} para el {Aprendizaje} - {CcITA} 2009},\n\tauthor = {Ochoa, Xavier},\n\tyear = {2009},\n\tpages = {34--37},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n LA FLOR - Repositorio Latinoamericano de Objetos de Aprendizaje.\n \n \n \n\n\n \n Morales, R.; Ochoa, X.; Sanchez, V.; and Ordonez, V.\n\n\n \n\n\n\n In Recursos Digitales para el Aprendizaje, pages 308–317, 2009. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{morales_flor_2009,\n\ttitle = {{LA} {FLOR} - {Repositorio} {Latinoamericano} de {Objetos} de {Aprendizaje}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Recursos {Digitales} para el {Aprendizaje}},\n\tauthor = {Morales, Rafael and Ochoa, Xavier and Sanchez, Victor and Ordonez, Vicente},\n\tyear = {2009},\n\tpages = {308--317},\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n The Snowflake Number.\n \n \n \n \n\n\n \n Duval, E.; Verbert, K.; Ochoa, X.; and Hodgins, W.\n\n\n \n\n\n\n In Proceedings of the WebSci'09: Society On-Line,, 2009. \n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{duval_snowake_2009,\n\ttitle = {The {Snowflake} {Number}.},\n\tcopyright = {All rights reserved},\n\turl = {http://www2.computer.org/portal/web/csdl/doi/10.1109/MIC.2009.90},\n\tbooktitle = {Proceedings of the {WebSci}'09: {Society} {On}-{Line},},\n\tauthor = {Duval, Erik and Verbert, Katrien and Ochoa, Xavier and Hodgins, Wayne},\n\tyear = {2009},\n}\n\n\n\n
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\n  \n 2008\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n The ALOCOM Framework: Towards Scalable Content Reuse.\n \n \n \n \n\n\n \n Verbert, K.; Ochoa, X.; and Duval, E.\n\n\n \n\n\n\n Journal of Digital Information, 9(26): 1–24. 2008.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{verbert_alocom_2008,\n\ttitle = {The {ALOCOM} {Framework}: {Towards} {Scalable} {Content} {Reuse}},\n\tvolume = {9},\n\tcopyright = {All rights reserved},\n\turl = {http://journals.tdl.org/jodi/article/view/225/199},\n\tabstract = {This paper presents a framework that enables flexible content reuse. Unlike the usual practice where document components, such as images, definitions, text fragments, tables or diagrams, are assembled manually through copy-and-paste, the framework enables on-the-fly access and reuse. Retrieval of relevant components is enabled by automatic decomposition of legacy documents and storage of individual components, enriched with metadata. Furthermore, the automatic assembly of these components in mainstream authoring tools is supported. The paper describes the framework and its current support for re-assembling PowerPoint, Wikipedia and SCORM components in authoring tools. In addition, an evaluation is presented that aims to assess the effectiveness and efficiency of such content reuse for presentations.},\n\tnumber = {26},\n\tjournal = {Journal of Digital Information},\n\tauthor = {Verbert, Katrien and Ochoa, Xavier and Duval, Erik},\n\tyear = {2008},\n\tpages = {1--24},\n}\n\n\n\n
\n
\n\n\n
\n This paper presents a framework that enables flexible content reuse. Unlike the usual practice where document components, such as images, definitions, text fragments, tables or diagrams, are assembled manually through copy-and-paste, the framework enables on-the-fly access and reuse. Retrieval of relevant components is enabled by automatic decomposition of legacy documents and storage of individual components, enriched with metadata. Furthermore, the automatic assembly of these components in mainstream authoring tools is supported. The paper describes the framework and its current support for re-assembling PowerPoint, Wikipedia and SCORM components in authoring tools. In addition, an evaluation is presented that aims to assess the effectiveness and efficiency of such content reuse for presentations.\n
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\n\n\n
\n \n\n \n \n \n \n \n Diseno de la Arquitectura de Software para un Sistema de Recuperacion de Informacion de Audio.\n \n \n \n\n\n \n Ordonez, V.; and Ochoa, X.\n\n\n \n\n\n\n Investigacion y Desarrollo, 15: 42–47. 2008.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ordonez_diseno_2008,\n\ttitle = {Diseno de la {Arquitectura} de {Software} para un {Sistema} de {Recuperacion} de {Informacion} de {Audio}},\n\tvolume = {15},\n\tcopyright = {All rights reserved},\n\tjournal = {Investigacion y Desarrollo},\n\tauthor = {Ordonez, Vicente and Ochoa, Xavier},\n\tyear = {2008},\n\tpages = {42--47},\n}\n\n\n\n
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\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Quantitative Analysis of Learning Object Repositories.\n \n \n \n \n\n\n \n Ochoa, X.; and Duval, E.\n\n\n \n\n\n\n In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications ED-Media 2008, pages 6031–6040, 2008. \n \n\n\n\n
\n\n\n\n \n \n \"QuantitativePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ochoa_quantitative_2008,\n\ttitle = {Quantitative {Analysis} of {Learning} {Object} {Repositories}},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-EDMedia2008.pdf},\n\tabstract = {Learning Objects Repositories are the backbone of the Learning Object Economy, however little is known about their operation and much less on how that operation should be measured. Some Learnometrics (metrics for Learning Objects) need to be researched and implemented. This paper is a first step in that direction, performing a quantitative analysis of several aspects of Learning Object Repositories and Referatories in order to answer questions on their size, growth, contributor base and popularity. The analysis is performed on data from live repositories and referatories. The result of the analysis provides confirmation to long held belief, but also point out singular characteristics not previously discussed. Some of the findings are that LORs grow linearly, contribution distribution follows a power law and popularity of objects follows a log- normal distribution. The paper finalizes giving answer to the raised questions as well as the implication that these answer have in LOR community.},\n\tbooktitle = {Proceedings of {World} {Conference} on {Educational} {Multimedia}, {Hypermedia} and {Telecommunications} {ED}-{Media} 2008},\n\tauthor = {Ochoa, Xavier and Duval, Erik},\n\tyear = {2008},\n\tpages = {6031--6040},\n}\n\n\n\n
\n
\n\n\n
\n Learning Objects Repositories are the backbone of the Learning Object Economy, however little is known about their operation and much less on how that operation should be measured. Some Learnometrics (metrics for Learning Objects) need to be researched and implemented. This paper is a first step in that direction, performing a quantitative analysis of several aspects of Learning Object Repositories and Referatories in order to answer questions on their size, growth, contributor base and popularity. The analysis is performed on data from live repositories and referatories. The result of the analysis provides confirmation to long held belief, but also point out singular characteristics not previously discussed. Some of the findings are that LORs grow linearly, contribution distribution follows a power law and popularity of objects follows a log- normal distribution. The paper finalizes giving answer to the raised questions as well as the implication that these answer have in LOR community.\n
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\n\n\n
\n \n\n \n \n \n \n \n \n Times of Convergence. Technologies Across Learning Contexts.\n \n \n \n \n\n\n \n Ochoa, X.; and Duval, E.\n\n\n \n\n\n\n In Times of Convergence. Technologies Across Learning Contexts, pages 322–325. Springer, 2008.\n \n\n\n\n
\n\n\n\n \n \n \"TimesPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@incollection{ochoa_times_2008,\n\ttitle = {Times of {Convergence}. {Technologies} {Across} {Learning} {Contexts}},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-EC℡2008.pdf},\n\tabstract = {This paper presents a quantitative analysis of the reuse of learning objects in real world settings. The data for this analysis was obtained from three sources: Connexions‚Äô modules, University courses and Presentation components. They represent the reuse of learning objects at different granularity levels. Data from other types of reusable components, such as software libraries, Wikipedia images and Web APIs, were used for comparison purposes. Finally, the paper discusses the implications of the findings in the field of Learning Object research.},\n\tbooktitle = {Times of {Convergence}. {Technologies} {Across} {Learning} {Contexts}},\n\tpublisher = {Springer},\n\tauthor = {Ochoa, Xavier and Duval, Erik},\n\tyear = {2008},\n\tpages = {322--325},\n}\n\n\n\n
\n
\n\n\n
\n This paper presents a quantitative analysis of the reuse of learning objects in real world settings. The data for this analysis was obtained from three sources: Connexions’ modules, University courses and Presentation components. They represent the reuse of learning objects at different granularity levels. Data from other types of reusable components, such as software libraries, Wikipedia images and Web APIs, were used for comparison purposes. Finally, the paper discusses the implications of the findings in the field of Learning Object research.\n
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\n \n\n \n \n \n \n \n \n Relevance Ranking Metrics for Learning Objects.\n \n \n \n \n\n\n \n Ochoa, X.; and Duval, E.\n\n\n \n\n\n\n IEEE Transactions on Learning Technologies, 1(1): 34–48. 2008.\n \n\n\n\n
\n\n\n\n \n \n \"RelevancePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ochoa_relevance_2008,\n\ttitle = {Relevance {Ranking} {Metrics} for {Learning} {Objects}},\n\tvolume = {1},\n\tcopyright = {All rights reserved},\n\tissn = {1939-1382},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-TLT2009a.pdf},\n\tdoi = {http://doi.ieeecomputersociety.org/10.1109/TLT.2008.1},\n\tabstract = {The main objetive of this paper is to improve the current status of learning object search. First, the current situation is analyzed and a theretical solution, based on relevance ranking is pruposed. To implement this solution, the paper develops the concept of relevance in the context of learning object search. Based on this concept, it proposes a set of metrics to estimate the topical, personal and situational relevance dimensions. These metrics are calculated mainly from usage and contextual information and do not require any explicit information from users. An exploratory evaluation of the metrics shows that even the simplest ones provide statistically significant improvement in the ranking order over the most common algorithmic relevance metric. Moreover, combining the metrics through learning algorithms sorts the result list 50\\% better than the base-line ranking.},\n\tnumber = {1},\n\tjournal = {IEEE Transactions on Learning Technologies},\n\tauthor = {Ochoa, Xavier and Duval, Erik},\n\tyear = {2008},\n\tpages = {34--48},\n}\n\n\n\n
\n
\n\n\n
\n The main objetive of this paper is to improve the current status of learning object search. First, the current situation is analyzed and a theretical solution, based on relevance ranking is pruposed. To implement this solution, the paper develops the concept of relevance in the context of learning object search. Based on this concept, it proposes a set of metrics to estimate the topical, personal and situational relevance dimensions. These metrics are calculated mainly from usage and contextual information and do not require any explicit information from users. An exploratory evaluation of the metrics shows that even the simplest ones provide statistically significant improvement in the ranking order over the most common algorithmic relevance metric. Moreover, combining the metrics through learning algorithms sorts the result list 50% better than the base-line ranking.\n
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\n\n\n
\n \n\n \n \n \n \n \n \n Quantitative Analysis of User-Generated Content on the Web.\n \n \n \n \n\n\n \n Ochoa, X.; and Duval, E.\n\n\n \n\n\n\n In De Roure, D.; and Hall, W., editor(s), Proceedings of the First International Workshop on Understanding Web Evolution (WebEvolve2008), pages 19–26, 2008. \n \n\n\n\n
\n\n\n\n \n \n \"QuantitativePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ochoa_quantitative_2008,\n\ttitle = {Quantitative {Analysis} of {User}-{Generated} {Content} on the {Web}},\n\tcopyright = {All rights reserved},\n\turl = {http://journal.webscience.org/34/},\n\tabstract = {User-generated content (UGC) is becoming the most popular and valuable information available on the WWW. However, little serious research has been conducted to measure the properties of its production process. This paper presents an in-depth quantitative analysis of 9 popular websites that are based on different UGC types. The Information Production Process is used as a framework for the analysis. The findings provide for first time strong scientific evidence for previously anecdotic knowledge: UGC production follows “long-tail” distributions and it is marked with a strong “participation inequality”. Also, the analysis arrived to unexpected findings: not all the UGC types follow the inverse power-law distribution, and large content collections could be dominated by the presence of ultraproductive users. The analysis results also have implications for the administration of UGC-based websites.},\n\tbooktitle = {Proceedings of the {First} {International} {Workshop} on {Understanding} {Web} {Evolution} ({WebEvolve2008})},\n\tauthor = {Ochoa, Xavier and Duval, Erik},\n\teditor = {De Roure, David and Hall, Wendy},\n\tyear = {2008},\n\tpages = {19--26},\n}\n\n\n\n
\n
\n\n\n
\n User-generated content (UGC) is becoming the most popular and valuable information available on the WWW. However, little serious research has been conducted to measure the properties of its production process. This paper presents an in-depth quantitative analysis of 9 popular websites that are based on different UGC types. The Information Production Process is used as a framework for the analysis. The findings provide for first time strong scientific evidence for previously anecdotic knowledge: UGC production follows “long-tail” distributions and it is marked with a strong “participation inequality”. Also, the analysis arrived to unexpected findings: not all the UGC types follow the inverse power-law distribution, and large content collections could be dominated by the presence of ultraproductive users. The analysis results also have implications for the administration of UGC-based websites.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Learnometrics: Metrics for Learning Objects.\n \n \n \n \n\n\n \n Ochoa, X\n\n\n \n\n\n\n Ph.D. Thesis, Katholieke Universiteit Leuven, September 2008.\n \n\n\n\n
\n\n\n\n \n \n \"Learnometrics:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@phdthesis{ochoa_learnometrics:_2008,\n\ttype = {{PhD} {Thesis}},\n\ttitle = {Learnometrics: {Metrics} for {Learning} {Objects}},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/ThesisFinal2.pdf},\n\tabstract = {Information technology have been changing and improving the way in which teaching and learning is conducted. One aspect where the Information Technology is having profound impact is the creation and reuse of digital learning materials or more commonly called Learning Objects. Thanks to its digital nature, these objects are easy to copy, distribute and adapt. This means that teachers and learners do not need to create all their learning material, but they can share what they already have and obtain and repurpose existing content made by their peers. This economy based in sharing leads to considerable saving in time and effort and provide learning materials of better quality to an expanded population. However useful this Learning Object Economy is, little is known about how it works. How many learning objects are published and reused? how many objects each teacher produce? what is the optimal size of the objects? are basic questions that did not have an answer. Also, the tools used to create, publish, search and reuse learning objects are not smart enough and require a considerable amount of work from the users. This dissertation study the inner workings of the Learning Object Economy and propose small calculations (metrics) that can be used to improve current tools. The main findings of this research reveal that the Learning Object Economy exist but it is still immature and that the application of simple metrics could greatly improve the way in which learning objects are shared and reused.},\n\tschool = {Katholieke Universiteit Leuven},\n\tauthor = {Ochoa, X},\n\tmonth = sep,\n\tyear = {2008},\n}\n\n\n\n
\n
\n\n\n
\n Information technology have been changing and improving the way in which teaching and learning is conducted. One aspect where the Information Technology is having profound impact is the creation and reuse of digital learning materials or more commonly called Learning Objects. Thanks to its digital nature, these objects are easy to copy, distribute and adapt. This means that teachers and learners do not need to create all their learning material, but they can share what they already have and obtain and repurpose existing content made by their peers. This economy based in sharing leads to considerable saving in time and effort and provide learning materials of better quality to an expanded population. However useful this Learning Object Economy is, little is known about how it works. How many learning objects are published and reused? how many objects each teacher produce? what is the optimal size of the objects? are basic questions that did not have an answer. Also, the tools used to create, publish, search and reuse learning objects are not smart enough and require a considerable amount of work from the users. This dissertation study the inner workings of the Learning Object Economy and propose small calculations (metrics) that can be used to improve current tools. The main findings of this research reveal that the Learning Object Economy exist but it is still immature and that the application of simple metrics could greatly improve the way in which learning objects are shared and reused.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Project JARDIN: Just an Assistant for instructional DesIgN.\n \n \n \n\n\n \n Motz, R.; Viola, A.; Oliveira, J. P. d.; Lima, J. V. d.; Ochoa, X.; Deco, C.; Casali, A.; Bender, C.; and Alvarez, M. A. P.\n\n\n \n\n\n\n In Proceedings of the Third Latin American Conference on Learning Objects, pages 223–227, 2008. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{motz_project_2008,\n\ttitle = {Project {JARDIN}: {Just} an {Assistant} for instructional {DesIgN}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of the {Third} {Latin} {American} {Conference} on {Learning} {Objects}},\n\tauthor = {Motz, Regina and Viola, Alfredo and Oliveira, José Palazzo de and Lima, José Valdení de and Ochoa, Xavier and Deco, Claudia and Casali, Ana and Bender, Cristina and Alvarez, Miguel Angel Pérez},\n\tyear = {2008},\n\tpages = {223--227},\n}\n\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n An online operational alert system for the early detection of shrimp epidemics at the regional level based on real-time production.\n \n \n \n \n\n\n \n Bayot, B.; Sonnenholzner, S.; Ochoa, X.; Johanna Guerrerro; Vera, T.; Calderon, J.; Blas, I. d.; Cornejo-Grunauer, M. d. P.; Stern, S.; and Ollevier, F.\n\n\n \n\n\n\n Aquaculture, 277(3-4): 164–173. 2008.\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{bayot_online_2008,\n\ttitle = {An online operational alert system for the early detection of shrimp epidemics at the regional level based on real-time production},\n\tvolume = {277},\n\tcopyright = {All rights reserved},\n\turl = {http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6T4D-4S0PK4X-1&_user=10&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=311f1ee6c0b257f20b9b68c5d9292e02},\n\tabstract = {Diseases are among the greatest threats affecting the sustainability of shrimp aquaculture. In Ecuador, diseases of cultured shrimp have been quickly transmitted from one region to another. Therefore, an early detection system of impending epidemics could serve as an important management tool for the aquaculture sector. We developed a system for the early detection of shrimp epidemics for the largest shrimp zone of Ecuador based on production surveillance. The system, called Epidemiological Alert System and Aquaculture Management (SAEMA), uses a geographical information system (GIS) with an imaginary grid cartography (12,860 ha per grid) dividing the study area. A production and management index is calculated with the harvest data of each pond. A standardized deviation around the historical averages and an alert level is calculated per grid and month. Normal conditions of production and therefore the absence of disease are depicted in green and yellow. While, orange and red colours express a disease warning manifested through suboptimal production levels. As a result, a map of the study area with grid divisions is displayed, with a specific alert colour for each grid where information is available. SAEMA was developed as a Web application (http://www.saema.espol.edu.ec) that enables producers to record data via a worksheet format using any web browser. Instantaneously, the applications perform a calculation of the alert index and provide feedback to the alert levels displayed in an interactive map. A feedback process was initiated in May 2006 with 19 participating shrimp farms. The objective of this research is to develop a platform for an early detection of shrimp epidemics on a regional scale. The detection of an epidemic, expressed as suboptimal production in a specific region, can provide producers from other zones and government authorities to engage in time preventive and control measures in order to reduce the spread of diseases.},\n\tnumber = {3-4},\n\tjournal = {Aquaculture},\n\tauthor = {Bayot, Bonny and Sonnenholzner, Stanislaus and Ochoa, Xavier and {Johanna Guerrerro} and Vera, Teresa and Calderon, Jorge and Blas, Ignacio de and Cornejo-Grunauer, Maria del Pilar and Stern, Sam and Ollevier, Frans},\n\tyear = {2008},\n\tpages = {164--173},\n}\n\n\n\n
\n
\n\n\n
\n Diseases are among the greatest threats affecting the sustainability of shrimp aquaculture. In Ecuador, diseases of cultured shrimp have been quickly transmitted from one region to another. Therefore, an early detection system of impending epidemics could serve as an important management tool for the aquaculture sector. We developed a system for the early detection of shrimp epidemics for the largest shrimp zone of Ecuador based on production surveillance. The system, called Epidemiological Alert System and Aquaculture Management (SAEMA), uses a geographical information system (GIS) with an imaginary grid cartography (12,860 ha per grid) dividing the study area. A production and management index is calculated with the harvest data of each pond. A standardized deviation around the historical averages and an alert level is calculated per grid and month. Normal conditions of production and therefore the absence of disease are depicted in green and yellow. While, orange and red colours express a disease warning manifested through suboptimal production levels. As a result, a map of the study area with grid divisions is displayed, with a specific alert colour for each grid where information is available. SAEMA was developed as a Web application (http://www.saema.espol.edu.ec) that enables producers to record data via a worksheet format using any web browser. Instantaneously, the applications perform a calculation of the alert index and provide feedback to the alert levels displayed in an interactive map. A feedback process was initiated in May 2006 with 19 participating shrimp farms. The objective of this research is to develop a platform for an early detection of shrimp epidemics on a regional scale. The detection of an epidemic, expressed as suboptimal production in a specific region, can provide producers from other zones and government authorities to engage in time preventive and control measures in order to reduce the spread of diseases.\n
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\n
\n  \n 2007\n \n \n (6)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Analysis of User Behavior on Multilingual Tagging of Learning Objects.\n \n \n \n \n\n\n \n Vuorikari, R.; Ochoa, X.; and Duval, E.\n\n\n \n\n\n\n In Proceedings of the First Workshop on Social Information Retrival in Technology Enhanced Learning (SIR℡ 2007), 2007. \n \n\n\n\n
\n\n\n\n \n \n \"AnalysisPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{vuorikari_analysis_2007,\n\ttitle = {Analysis of {User} {Behavior} on {Multilingual} {Tagging} of {Learning} {Objects}},\n\tcopyright = {All rights reserved},\n\turl = {http://infolab-dev.aua.gr/sirtel2007/papers/Vuorikari_et_al.pdf},\n\tabstract = {Although social, collaborative classification through tagging has been the focus of recent research, the effect of multilingual tags is often overlooked. This work presents an early exploratory study of the production and consumption of multilingual tags in a European educational K-12 context. The data, produced by teachers bookmarking and tagging learning resources during three month period, was analysed. Thereafter, a focus group of teachers evaluated a sample of learning resources with metadata records containing both thesaurus terms and multilingual tags. The results of this early study suggest that some tags are found as useful as thesaurus terms and that users are divided about the benefits of multilingual tags. As some tags are useful for some users, “hiding all but the right tags” becomes crucial for the success of a multilingual collaborative tagging system.},\n\tbooktitle = {Proceedings of the {First} {Workshop} on {Social} {Information} {Retrival} in {Technology} {Enhanced} {Learning} ({SIR}℡ 2007)},\n\tauthor = {Vuorikari, Riina and Ochoa, Xavier and Duval, Erik},\n\tyear = {2007},\n}\n\n\n\n
\n
\n\n\n
\n Although social, collaborative classification through tagging has been the focus of recent research, the effect of multilingual tags is often overlooked. This work presents an early exploratory study of the production and consumption of multilingual tags in a European educational K-12 context. The data, produced by teachers bookmarking and tagging learning resources during three month period, was analysed. Thereafter, a focus group of teachers evaluated a sample of learning resources with metadata records containing both thesaurus terms and multilingual tags. The results of this early study suggest that some tags are found as useful as thesaurus terms and that users are divided about the benefits of multilingual tags. As some tags are useful for some users, “hiding all but the right tags” becomes crucial for the success of a multilingual collaborative tagging system.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Relevance Ranking Metrics for Learning Objects.\n \n \n \n \n\n\n \n Ochoa, X.; and Duval, E.\n\n\n \n\n\n\n In Creating New Learning Experiences on a Global Scale, volume 4753, of Lecture Notes in Computer Science, pages 262–276. 2007.\n \n\n\n\n
\n\n\n\n \n \n \"RelevancePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@incollection{ochoa_relevance_2007,\n\tseries = {Lecture {Notes} in {Computer} {Science}},\n\ttitle = {Relevance {Ranking} {Metrics} for {Learning} {Objects}},\n\tvolume = {4753},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-EC℡2007.pdf},\n\tabstract = {Technologies that solve the scarce availability of learning objects have created the opposite problem: abundance of choice. The solution to that problem is relevance ranking. Unfortunately current techniques used to rank learning objects are not able to present the user with a meaningful ordering of the result list. This work interpret the Information Retrieval concept of Relevance in the context of learning object search and use that interpretation to propose a set of metrics to estimate the Topical, Personal and Situational relevance. These metrics are calculated mainly from usage and contextual information. An exploratory evaluation of the metrics shows that even the simplest ones provide statistically significant improvement in the ranking order over the most common algorithmic relevance metric.},\n\tbooktitle = {Creating {New} {Learning} {Experiences} on a {Global} {Scale}},\n\tauthor = {Ochoa, Xavier and Duval, Erik},\n\tyear = {2007},\n\tpages = {262--276},\n}\n\n\n\n
\n
\n\n\n
\n Technologies that solve the scarce availability of learning objects have created the opposite problem: abundance of choice. The solution to that problem is relevance ranking. Unfortunately current techniques used to rank learning objects are not able to present the user with a meaningful ordering of the result list. This work interpret the Information Retrieval concept of Relevance in the context of learning object search and use that interpretation to propose a set of metrics to estimate the Topical, Personal and Situational relevance. These metrics are calculated mainly from usage and contextual information. An exploratory evaluation of the metrics shows that even the simplest ones provide statistically significant improvement in the ranking order over the most common algorithmic relevance metric.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Relevance Ranking of Learning Objects based on Usage and Contextual Information.\n \n \n \n \n\n\n \n Ochoa, X.; and Duval, E.\n\n\n \n\n\n\n In Proceedings of the Second Latin American Conference on Learning Objects, pages 149–156, 2007. LACLO\n \n\n\n\n
\n\n\n\n \n \n \"RelevancePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ochoa_relevance_2007,\n\ttitle = {Relevance {Ranking} of {Learning} {Objects} based on {Usage} and {Contextual} {Information}},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-LACLO2007.pdf},\n\tabstract = {Traditional mechanisms used to rank learning objects are not longer viable thanks to the current abundance of resources. This work proposes the construction of an improved relevance ranking function based on contextualized attention data extracted from the interaction between the users and the objects. A multidimensional approach to relevance is followed. Beside the Algorithmic relevance, currently used in most ranking functions for learning objects, another three more subjective types of relevance are estimated: Topical, Pertinence and Situational. These four types are linearly combined into a holistic relevance ranking. This work also proposes how this combined function could be efficiently calculated and implemented as a Ranked Search service inside existing e-learning tools.},\n\tbooktitle = {Proceedings of the {Second} {Latin} {American} {Conference} on {Learning} {Objects}},\n\tpublisher = {LACLO},\n\tauthor = {Ochoa, Xavier and Duval, Erik},\n\tyear = {2007},\n\tpages = {149--156},\n}\n\n\n\n
\n
\n\n\n
\n Traditional mechanisms used to rank learning objects are not longer viable thanks to the current abundance of resources. This work proposes the construction of an improved relevance ranking function based on contextualized attention data extracted from the interaction between the users and the objects. A multidimensional approach to relevance is followed. Beside the Algorithmic relevance, currently used in most ranking functions for learning objects, another three more subjective types of relevance are estimated: Topical, Pertinence and Situational. These four types are linearly combined into a holistic relevance ranking. This work also proposes how this combined function could be efficiently calculated and implemented as a Ranked Search service inside existing e-learning tools.\n
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\n\n\n
\n \n\n \n \n \n \n \n \n Integracion de REDOUAA a la Federacion Latinoamericana de Repositorios de Objetos de Aprendizaje.\n \n \n \n \n\n\n \n Munoz, J.; Ochoa, X.; Calvillo, E.; and Parra, G.\n\n\n \n\n\n\n In Proceedings of the Second Latin American Conference on Learning Objects, pages 91–96, 2007. \n \n\n\n\n
\n\n\n\n \n \n \"IntegracionPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{munoz_integracion_2007,\n\ttitle = {Integracion de {REDOUAA} a la {Federacion} {Latinoamericana} de {Repositorios} de {Objetos} de {Aprendizaje}},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Munoz-LACLO2007.pdf},\n\tabstract = {Ofrecer cursos de educacion a distancia conformados por unidades de conocimiento proveniente de una red de repositorios de objetos de aprendizaje distribuidos actualmente ya es posible. Este articulo presenta la experiencia de haber integrado el Repositorio de Objetos De aprendizaje de la Universidad Autónoma de Aguascalientes (REDOUAA) a la red de repositorios de objetos de aprendizaje latinoamericanos. El principal objetivo es mitigar así la problematica de falta de contenidos academicos portables y reutilizable aportados por las instituciones de educacion superior en particular las que pertenecen a la region de Latinoamerica.},\n\tbooktitle = {Proceedings of the {Second} {Latin} {American} {Conference} on {Learning} {Objects}},\n\tauthor = {Munoz, Jaime and Ochoa, Xavier and Calvillo, Edgar and Parra, Gonzalo},\n\tyear = {2007},\n\tpages = {91--96},\n}\n\n\n\n
\n
\n\n\n
\n Ofrecer cursos de educacion a distancia conformados por unidades de conocimiento proveniente de una red de repositorios de objetos de aprendizaje distribuidos actualmente ya es posible. Este articulo presenta la experiencia de haber integrado el Repositorio de Objetos De aprendizaje de la Universidad Autónoma de Aguascalientes (REDOUAA) a la red de repositorios de objetos de aprendizaje latinoamericanos. El principal objetivo es mitigar así la problematica de falta de contenidos academicos portables y reutilizable aportados por las instituciones de educacion superior en particular las que pertenecen a la region de Latinoamerica.\n
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\n\n\n
\n \n\n \n \n \n \n \n \n SAmgI: Automatic Metadata Generation v2.0.\n \n \n \n \n\n\n \n Meire, M.; Ochoa, X.; and Duval, E.\n\n\n \n\n\n\n In Proceedings of the World Conference on Educational Multimedia, Hypermedia and Telecommunications ED-Media 2007, pages 1195–1204, Vancouver, Canada, 2007. AACE\n \n\n\n\n
\n\n\n\n \n \n \"SAmgI:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{meire_samgi:_2007,\n\taddress = {Vancouver, Canada},\n\ttitle = {{SAmgI}: {Automatic} {Metadata} {Generation} v2.0},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Meire-EDMedia2007.pdf},\n\tabstract = {Manual creation of metadata is tedious, error-prone and doesn?t scale. As the amount of learning content continues to grow, it becomes less and less feasible to describe all available content manually. Moreover, the metadata humans create are not perfect. Therefore, we need a change in approach, trying to automate this process as much as possible. In this paper, we provide an overview of our work from the last three years on how to achieve this automation. We also present a software design and implementation that has been evaluated in practice and that is being deployed at large scale. We detail the architectural design goals that made us evolve from a first approach to the current one.},\n\tbooktitle = {Proceedings of the {World} {Conference} on {Educational} {Multimedia}, {Hypermedia} and {Telecommunications} {ED}-{Media} 2007},\n\tpublisher = {AACE},\n\tauthor = {Meire, Michael and Ochoa, Xavier and Duval, Erik},\n\tyear = {2007},\n\tpages = {1195--1204},\n}\n\n\n\n
\n
\n\n\n
\n Manual creation of metadata is tedious, error-prone and doesn?t scale. As the amount of learning content continues to grow, it becomes less and less feasible to describe all available content manually. Moreover, the metadata humans create are not perfect. Therefore, we need a change in approach, trying to automate this process as much as possible. In this paper, we provide an overview of our work from the last three years on how to achieve this automation. We also present a software design and implementation that has been evaluated in practice and that is being deployed at large scale. We detail the architectural design goals that made us evolve from a first approach to the current one.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Open metadata for open educational resources in an open infrastructure.\n \n \n \n \n\n\n \n Duval, E.; Ternier, S.; Wolpers, M.; Najjar, J.; Vandeputte, B.; Verbert, K.; Klerkx, J.; Meire, M.; and Ochoa, X.\n\n\n \n\n\n\n In Proceedings of the OpenLearn2007 conference: researching open content in education, pages 36–38, 2007. Open University\n \n\n\n\n
\n\n\n\n \n \n \"OpenPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{duval_open_2007,\n\ttitle = {Open metadata for open educational resources in an open infrastructure},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Duval-OpenLearn2007.pdf},\n\tabstract = {We believe that the open educational resources movement focuses too much on one of the three important aspects for openness, i.e. open content. In order to take full advantage of the open educational resources, attention should also be given to open metadata and standards, so that a truly open infrastructure for learning can be developed. We are heavily involved in research around all three these aspects, and in the actual roll-out for diverse learning communities of this infrastructure.},\n\tbooktitle = {Proceedings of the {OpenLearn2007} conference: researching open content in education},\n\tpublisher = {Open University},\n\tauthor = {Duval, Erik and Ternier, Stefaan and Wolpers, Martin and Najjar, Jehad and Vandeputte, Bram and Verbert, Katrien and Klerkx, Joris and Meire, Michael and Ochoa, Xavier},\n\tyear = {2007},\n\tpages = {36--38},\n}\n\n\n\n
\n
\n\n\n
\n We believe that the open educational resources movement focuses too much on one of the three important aspects for openness, i.e. open content. In order to take full advantage of the open educational resources, attention should also be given to open metadata and standards, so that a truly open infrastructure for learning can be developed. We are heavily involved in research around all three these aspects, and in the actual roll-out for diverse learning communities of this infrastructure.\n
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\n\n
\n
\n  \n 2006\n \n \n (4)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n A Context-Aware Service Oriented Framework for Finding, Recommending and Inserting Learning Objects.\n \n \n \n \n\n\n \n Ochoa, X.; Ternier, S.; Parra, G.; and Duval, E.\n\n\n \n\n\n\n In Innovative Approaches for Learning and Knowledge Sharing, volume 4227, of Lecture Notes in Computer Science, pages 697–702. Springer, 2006.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@incollection{ochoa_context-aware_2006,\n\tseries = {Lecture {Notes} in {Computer} {Science}},\n\ttitle = {A {Context}-{Aware} {Service} {Oriented} {Framework} for {Finding}, {Recommending} and {Inserting} {Learning} {Objects}},\n\tvolume = {4227},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-540-45777-0},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-EC℡2006.pdf},\n\tabstract = {In this paper, we will propose a framework for finding, recommending and inserting learning objects in a digital repository, exploiting the user context that is captured from the Learning Management System (LMS). The framework we propose builds on top of the ARIADNE service oriented architecture for learning object repositories, abstracting from the technicalities of low level metadata and resource management. As a case study, the framework has been applied in a university learning management system (SIDWeb). The intent is to exploit contextual information from the learning management system in digital repositories. Keywords: Service Oriented Architectures, Learning Management Systems, Recommender services.},\n\tbooktitle = {Innovative {Approaches} for {Learning} and {Knowledge} {Sharing}},\n\tpublisher = {Springer},\n\tauthor = {Ochoa, Xavier and Ternier, Stefaan and Parra, Gonzalo and Duval, Erik},\n\tyear = {2006},\n\tpages = {697--702},\n}\n\n\n\n
\n
\n\n\n
\n In this paper, we will propose a framework for finding, recommending and inserting learning objects in a digital repository, exploiting the user context that is captured from the Learning Management System (LMS). The framework we propose builds on top of the ARIADNE service oriented architecture for learning object repositories, abstracting from the technicalities of low level metadata and resource management. As a case study, the framework has been applied in a university learning management system (SIDWeb). The intent is to exploit contextual information from the learning management system in digital repositories. Keywords: Service Oriented Architectures, Learning Management Systems, Recommender services.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Use of contextualized attention metadata for ranking and recommending learning objects.\n \n \n \n \n\n\n \n Ochoa, X.; and Duval, E.\n\n\n \n\n\n\n In CIKM 2006, pages 9–16, Arlington, Virginia, USA, 2006. ACM Press\n \n\n\n\n
\n\n\n\n \n \n \"UsePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ochoa_use_2006,\n\taddress = {Arlington, Virginia, USA},\n\ttitle = {Use of contextualized attention metadata for ranking and recommending learning objects},\n\tcopyright = {All rights reserved},\n\tisbn = {1-59593-524-X},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-CIKM2006.pdf},\n\tabstract = {The tools used to search and find Learning Objects in different systems do not provide a meaningful and scalable way to rank or recommend learning material. This work propose and detail the use of Contextual Attention Metadata, gathered from the different tools used in the lifecycle of the Learning Object, to create ranking and recommending metrics to improve the user experience. Four types of metrics are detailed: Link Analysis Ranking, Similarity Recommendation, Personalized Ranking and Contextual Recommendation. While designed for Learning Objects, it is shown that these metrics could also be applied to rank and recommend other types of reusable components like software libraries.},\n\tbooktitle = {{CIKM} 2006},\n\tpublisher = {ACM Press},\n\tauthor = {Ochoa, Xavier and Duval, Erik},\n\tyear = {2006},\n\tpages = {9--16},\n}\n\n\n\n
\n
\n\n\n
\n The tools used to search and find Learning Objects in different systems do not provide a meaningful and scalable way to rank or recommend learning material. This work propose and detail the use of Contextual Attention Metadata, gathered from the different tools used in the lifecycle of the Learning Object, to create ranking and recommending metrics to improve the user experience. Four types of metrics are detailed: Link Analysis Ranking, Similarity Recommendation, Personalized Ranking and Contextual Recommendation. While designed for Learning Objects, it is shown that these metrics could also be applied to rank and recommend other types of reusable components like software libraries.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Towards Automatic Evaluation of Learning Object Metadata Quality.\n \n \n \n \n\n\n \n Ochoa, X.; and Duval, E.\n\n\n \n\n\n\n In Advances in Conceptual Modeling - Theory and Practice, volume 4231, of Lecture Notes in Computer Science, pages 372–381. Springer, 2006.\n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@incollection{ochoa_towards_2006,\n\tseries = {Lecture {Notes} in {Computer} {Science}},\n\ttitle = {Towards {Automatic} {Evaluation} of {Learning} {Object} {Metadata} {Quality}},\n\tvolume = {4231},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-540-47703-7},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-ER2006.pdf},\n\tabstract = {Thanks to recent developments on automatic generation of metadata and interoperability between repositories, the production, management and consumption of learning object metadata is vastly surpassing the human capacity to review or process these metadata. However, we need to make sure that the presence of some low quality metadata does not compromise the performance of services that rely on that information. Consequently, there is a need for automatic assessment of the quality of metadata, so that tools or users can be alerted about low quality instances. In this paper, we present several quality metrics for learning object metadata. We applied these metrics to a sample of records from a real repository and compared the results with the quality assessment given to the same records by a group of human reviewers. Through correlation and regression analysis, we found that one of the metrics, the text information content, could be used as a predictor of the human evaluation. While this metric is not a definitive measurement of the ?real? quality of the metadata record, we present several ways in which it can be used. We also propose new research in other quality dimensions of the learning object metadata.},\n\tbooktitle = {Advances in {Conceptual} {Modeling} - {Theory} and {Practice}},\n\tpublisher = {Springer},\n\tauthor = {Ochoa, Xavier and Duval, Erik},\n\tyear = {2006},\n\tpages = {372--381},\n}\n\n\n\n
\n
\n\n\n
\n Thanks to recent developments on automatic generation of metadata and interoperability between repositories, the production, management and consumption of learning object metadata is vastly surpassing the human capacity to review or process these metadata. However, we need to make sure that the presence of some low quality metadata does not compromise the performance of services that rely on that information. Consequently, there is a need for automatic assessment of the quality of metadata, so that tools or users can be alerted about low quality instances. In this paper, we present several quality metrics for learning object metadata. We applied these metrics to a sample of records from a real repository and compared the results with the quality assessment given to the same records by a group of human reviewers. Through correlation and regression analysis, we found that one of the metrics, the text information content, could be used as a predictor of the human evaluation. While this metric is not a definitive measurement of the ?real? quality of the metadata record, we present several ways in which it can be used. We also propose new research in other quality dimensions of the learning object metadata.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Quality Metrics for Learning Object Metadata.\n \n \n \n \n\n\n \n Ochoa, X.; and Duval, E.\n\n\n \n\n\n\n In World Conference on Educational Multimedia, Hypermedia and Telecommunications 2006, pages 1004–1011, 2006. AACE\n \n\n\n\n
\n\n\n\n \n \n \"QualityPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ochoa_quality_2006,\n\ttitle = {Quality {Metrics} for {Learning} {Object} {Metadata}},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-EDMedia2006.pdf},\n\tabstract = {The quality of the learning objects metadata records stored in a repository is important its operation and interoperability. While several studies have tried to define and measure quality for metadata, a scalable and effective way to assess this quality is not currently available. This work converts the fuzzy quality definitions found in those studies into implementable measures (metrics). Several of these metrics are proposed. They are based on the same quality parameters used for human review of metadata: completeness, accuracy, provenance, conformance to expectations, logical consistency and coherence, timeliness, and accessibility. The information requirements to calculate the proposed metrics are also detailed. Some of these metrics are implemented and tested over to two collection of Learning Object Metadata, one of mainly human generated metadata, the other generated by automated means. Early results suggest that the metrics are indeed sensible to quality features in the metadata. Finally, this work recommends further work to validate and calibrate the proposed metrics.},\n\tbooktitle = {World {Conference} on {Educational} {Multimedia}, {Hypermedia} and {Telecommunications} 2006},\n\tpublisher = {AACE},\n\tauthor = {Ochoa, Xavier and Duval, Erik},\n\tyear = {2006},\n\tpages = {1004--1011},\n}\n\n\n\n
\n
\n\n\n
\n The quality of the learning objects metadata records stored in a repository is important its operation and interoperability. While several studies have tried to define and measure quality for metadata, a scalable and effective way to assess this quality is not currently available. This work converts the fuzzy quality definitions found in those studies into implementable measures (metrics). Several of these metrics are proposed. They are based on the same quality parameters used for human review of metadata: completeness, accuracy, provenance, conformance to expectations, logical consistency and coherence, timeliness, and accessibility. The information requirements to calculate the proposed metrics are also detailed. Some of these metrics are implemented and tested over to two collection of Learning Object Metadata, one of mainly human generated metadata, the other generated by automated means. Early results suggest that the metrics are indeed sensible to quality features in the metadata. Finally, this work recommends further work to validate and calibrate the proposed metrics.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2005\n \n \n (2)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Learning object repositories are useful, but are they usable?.\n \n \n \n \n\n\n \n Ochoa, X.\n\n\n \n\n\n\n In IADIS AC, pages 138–144, Algarve, Portugal, 2005. IADIS\n \n\n\n\n
\n\n\n\n \n \n \"LearningPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ochoa_learning_2005,\n\taddress = {Algarve, Portugal},\n\ttitle = {Learning object repositories are useful, but are they usable?},\n\tcopyright = {All rights reserved},\n\tisbn = {972-99353-6-X},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-IADIS2005.pdf},\n\tabstract = {Reusable Learning Objects (RLO) Technology seems to be the solution to have good quality e-learning in a economic viable way, nonetheless they are not widespread used by faculty around the world, limiting its usefulness. One of the reasons for the reluctance to use these technologies seems to be the design of the tools used to manipulate the RLO through all its lifecycle. This work analyzes the tools to index, search and assemble Reusable Learning Objects with a usability perspective. The effectiveness, efficiency and user-satisfaction of each group of tools are evaluated. As general results this analysis found that current implementation of tools are in an immature or, even, nonexistence stage. Beside the analysis results, some recommendations to emulate other tools in order to improve their acceptance among teachers are made.},\n\tbooktitle = {{IADIS} {AC}},\n\tpublisher = {IADIS},\n\tauthor = {Ochoa, Xavier},\n\tyear = {2005},\n\tpages = {138--144},\n}\n\n\n\n
\n
\n\n\n
\n Reusable Learning Objects (RLO) Technology seems to be the solution to have good quality e-learning in a economic viable way, nonetheless they are not widespread used by faculty around the world, limiting its usefulness. One of the reasons for the reluctance to use these technologies seems to be the design of the tools used to manipulate the RLO through all its lifecycle. This work analyzes the tools to index, search and assemble Reusable Learning Objects with a usability perspective. The effectiveness, efficiency and user-satisfaction of each group of tools are evaluated. As general results this analysis found that current implementation of tools are in an immature or, even, nonexistence stage. Beside the analysis results, some recommendations to emulate other tools in order to improve their acceptance among teachers are made.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Frameworks for the Automatic Indexation of Learning Management Systems Content into Learning Object Repositories.\n \n \n \n \n\n\n \n Ochoa, X.; Cardinaels, K.; Meire, M.; and Duval, E.\n\n\n \n\n\n\n In World Conference on Educational Multimedia, Hypermedia and Telecommunications 2005, pages 1407–1414, Montreal, Canada, 2005. AACE\n \n\n\n\n
\n\n\n\n \n \n \"FrameworksPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{ochoa_frameworks_2005,\n\taddress = {Montreal, Canada},\n\ttitle = {Frameworks for the {Automatic} {Indexation} of {Learning} {Management} {Systems} {Content} into {Learning} {Object} {Repositories}},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-EDMedia2005.pdf},\n\tabstract = {Learning Management Systems generally offer big repositories of learning material, but the lack of publicly available metadata to describe the learning objects makes it very difficult to share and reuse these objects. If metadata could be generated for these objects in order to index them in Learning Object Repositories (LOR), the gained amount of resources could solve the sub-critical mass problem of most existing Learning Object Repositories. This work proposes two frameworks that could facilitate the implementation of Automatic Indexers for LMS content. Prototype implementations of Automatic Indexing Systems following these frameworks for real LMSs (SIDWeb and Toledo-Blackboard) show that the amount of effort needed to construct them was small compared with the benefits that this kind of systems could have. While the metadata seems to be good enough at first sight, further research of the quality of automatically generated metadata is needed.},\n\tbooktitle = {World {Conference} on {Educational} {Multimedia}, {Hypermedia} and {Telecommunications} 2005},\n\tpublisher = {AACE},\n\tauthor = {Ochoa, Xavier and Cardinaels, Kris and Meire, Michael and Duval, Erik},\n\tyear = {2005},\n\tpages = {1407--1414},\n}\n\n\n\n
\n
\n\n\n
\n Learning Management Systems generally offer big repositories of learning material, but the lack of publicly available metadata to describe the learning objects makes it very difficult to share and reuse these objects. If metadata could be generated for these objects in order to index them in Learning Object Repositories (LOR), the gained amount of resources could solve the sub-critical mass problem of most existing Learning Object Repositories. This work proposes two frameworks that could facilitate the implementation of Automatic Indexers for LMS content. Prototype implementations of Automatic Indexing Systems following these frameworks for real LMSs (SIDWeb and Toledo-Blackboard) show that the amount of effort needed to construct them was small compared with the benefits that this kind of systems could have. While the metadata seems to be good enough at first sight, further research of the quality of automatically generated metadata is needed.\n
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\n
\n  \n 2004\n \n \n (3)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Ecuador Develops GIS-ASSISTED Alert System For Shrimp Farming.\n \n \n \n\n\n \n Sonnenholzner, S.; Bayot, B.; Apolo, I.; Vera, T.; Ochoa, X.; Cisneros, Z.; Biesen, L. V.; Cornejo, M. P.; and Calderon, J.\n\n\n \n\n\n\n Global Aquaculture Advocate, 7(3). 2004.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{sonnenholzner_ecuador_2004,\n\ttitle = {Ecuador {Develops} {GIS}-{ASSISTED} {Alert} {System} {For} {Shrimp} {Farming}},\n\tvolume = {7},\n\tcopyright = {All rights reserved},\n\tnumber = {3},\n\tjournal = {Global Aquaculture Advocate},\n\tauthor = {Sonnenholzner, S. and Bayot, B. and Apolo, I. and Vera, T. and Ochoa, X. and Cisneros, Z. and Biesen, L. Van and Cornejo, M. P. and Calderon, J.},\n\tyear = {2004},\n}\n\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Pantalla de Visualizacion en la ESPOL.\n \n \n \n\n\n \n Sanchez, J.; and Ochoa, X.\n\n\n \n\n\n\n Tecnologica, 17(1): 72–76. 2004.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{sanchez_pantalla_2004,\n\ttitle = {Pantalla de {Visualizacion} en la {ESPOL}},\n\tvolume = {17},\n\tcopyright = {All rights reserved},\n\tnumber = {1},\n\tjournal = {Tecnologica},\n\tauthor = {Sanchez, Jorge and Ochoa, Xavier},\n\tyear = {2004},\n\tpages = {72--76},\n}\n\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Sistema Experto para la Interpretacion Automatizada de Reflectogramas Utilizando una Estrategia de Generar, Probar y Depurar de Doble Nivel.\n \n \n \n \n\n\n \n Ochoa, X.\n\n\n \n\n\n\n Tecnologica, 17: 87–100. 2004.\n \n\n\n\n
\n\n\n\n \n \n \"SistemaPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{ochoa_sistema_2004,\n\ttitle = {Sistema {Experto} para la {Interpretacion} {Automatizada} de {Reflectogramas} {Utilizando} una {Estrategia} de {Generar}, {Probar} y {Depurar} de {Doble} {Nivel}},\n\tvolume = {17},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-ESPOLCiencia2004.pdf},\n\tabstract = {Las nuevas tecnologías para la transmisión de datos a alta velocidad sobre los cables de cobre de la red de telefónica (conocidas como xDSL) fuerzan a las compañías telefónicas a tener un conocimiento detallado de la configuración de los circuitos de cada suscriptor para poder ofrecer estos servicios. Al trabajar a altas frecuencias, este esquema de comunicación se ve gravemente por las características del medio de transmisión y sus discontinuidades tales como: longitud, grosor del cable, empates, líneas paralelas, entre otros. Para poder brindar servicios xDSL, el sector de la telecomunicación necesita un sistema de medida que tenga acceso automático a los circuitos y obtenga exactamente las características de los cables que la constituyen. En este artículo se describe el proceso del análisis, diseño e implementación de un sistema experto basado en reglas para la interpretación automática de los reflectogramas en el dominio de tiempo (TDR – Time Domain Reflectograms). Con estos reflectogramas se puede medir las características del circuito de cada suscriptor. Dos nuevas estrategias de diseño se utilizan para poner este sistema experto en funcionamiento: Unidades de conocimiento, llamadas "Vistas del Mundo", y un algoritmo Generar-Probar-Depurar de Doble Nivel, una versión modificada del GPD normal. Se corren una serie de pruebas contra un prototipo de esta implementación para medir el funcionamiento de las ideas propuestas. Los resultados muestran que aún con un nivel limitado de conocimiento, el sistema es capaz de resolver con una alta tasa de exactitud las topologías simples y tiene una calificación aceptable en casos más complejos.},\n\tjournal = {Tecnologica},\n\tauthor = {Ochoa, Xavier},\n\tyear = {2004},\n\tpages = {87--100},\n}\n\n\n\n
\n
\n\n\n
\n Las nuevas tecnologías para la transmisión de datos a alta velocidad sobre los cables de cobre de la red de telefónica (conocidas como xDSL) fuerzan a las compañías telefónicas a tener un conocimiento detallado de la configuración de los circuitos de cada suscriptor para poder ofrecer estos servicios. Al trabajar a altas frecuencias, este esquema de comunicación se ve gravemente por las características del medio de transmisión y sus discontinuidades tales como: longitud, grosor del cable, empates, líneas paralelas, entre otros. Para poder brindar servicios xDSL, el sector de la telecomunicación necesita un sistema de medida que tenga acceso automático a los circuitos y obtenga exactamente las características de los cables que la constituyen. En este artículo se describe el proceso del análisis, diseño e implementación de un sistema experto basado en reglas para la interpretación automática de los reflectogramas en el dominio de tiempo (TDR – Time Domain Reflectograms). Con estos reflectogramas se puede medir las características del circuito de cada suscriptor. Dos nuevas estrategias de diseño se utilizan para poner este sistema experto en funcionamiento: Unidades de conocimiento, llamadas \"Vistas del Mundo\", y un algoritmo Generar-Probar-Depurar de Doble Nivel, una versión modificada del GPD normal. Se corren una serie de pruebas contra un prototipo de esta implementación para medir el funcionamiento de las ideas propuestas. Los resultados muestran que aún con un nivel limitado de conocimiento, el sistema es capaz de resolver con una alta tasa de exactitud las topologías simples y tiene una calificación aceptable en casos más complejos.\n
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\n\n
\n
\n  \n 2003\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Subscriber Loop Classification by means of Time Domain Reflectometry.\n \n \n \n \n\n\n \n Vermeiren, T.; Bostoen, T.; Boets, P.; Ochoa, X.; and Louage, F.\n\n\n \n\n\n\n In Proceedings of IEEE International Conference on Communications, 2003. ICC '03., volume 3, pages 1998– 2002, 2003. \n \n\n\n\n
\n\n\n\n \n \n \"SubscriberPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{vermeiren_subscriber_2003,\n\ttitle = {Subscriber {Loop} {Classification} by means of {Time} {Domain} {Reflectometry}},\n\tvolume = {3},\n\tcopyright = {All rights reserved},\n\turl = {http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/8564/27115/01203949.pdf?arnumber=1203949},\n\tabstract = {Qualifying a subscriber loop for xDSL transmission can be done in many ways. Amongst all ways, methods that don't require an expensive truck-roll to the customer are preferred. In this paper we provide a method for an intelligent automated interpretation of reflectometric 1-port measurements at the central office. First, we focus on how reflectograms can be characterised. Next, we build up intelligence in the system to deal with the uncertainty on the characteristics and to infer the topology by means of a belief network. Eventually, we combine in an artificial intelligent way, by means of a rule-based expert system all available knowledge and derive the basic loop properties i.e. the topology and the delays of the individual line sections.},\n\tbooktitle = {Proceedings of {IEEE} {International} {Conference} on {Communications}, 2003. {ICC} '03.},\n\tauthor = {Vermeiren, T. and Bostoen, T. and Boets, P. and Ochoa, X. and Louage, F.},\n\tyear = {2003},\n\tpages = {1998-- 2002},\n}\n\n\n\n
\n
\n\n\n
\n Qualifying a subscriber loop for xDSL transmission can be done in many ways. Amongst all ways, methods that don't require an expensive truck-roll to the customer are preferred. In this paper we provide a method for an intelligent automated interpretation of reflectometric 1-port measurements at the central office. First, we focus on how reflectograms can be characterised. Next, we build up intelligence in the system to deal with the uncertainty on the characteristics and to infer the topology by means of a belief network. Eventually, we combine in an artificial intelligent way, by means of a rule-based expert system all available knowledge and derive the basic loop properties i.e. the topology and the delays of the individual line sections.\n
\n\n\n
\n\n\n\n\n\n
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\n\n
\n
\n  \n 2002\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Expert System for Automated Time Domain Reflectometry Interpretation using a Double Level Generate-Test-Debug approach.\n \n \n \n\n\n \n Ochoa, X.\n\n\n \n\n\n\n Master's thesis, Vrije Universiteit Brussels (VUB), 2002.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@mastersthesis{ochoa_expert_2002,\n\ttitle = {Expert {System} for {Automated} {Time} {Domain} {Reflectometry} {Interpretation} using a {Double} {Level} {Generate}-{Test}-{Debug} approach},\n\tcopyright = {All rights reserved},\n\tabstract = {Qualifying a subscriber loop for xDSL transmission can be done in many ways. Amongst all ways, methods that don't require an expensive truck-roll to the customer are preferred. In this paper we provide a method for an intelligent automated interpretation of reflectometric 1-port measurements at the central office. First, we focus on how reflectograms can be characterised. Next, we build up intelligence in the system to deal with the uncertainty on the characteristics and to infer the topology by means of a belief network. Eventually, we combine in an artificial intelligent way, by means of a rule-based expert system all available knowledge and derive the basic loop properties i.e. the topology and the delays of the individual line sections.},\n\tschool = {Vrije Universiteit Brussels (VUB)},\n\tauthor = {Ochoa, Xavier},\n\tyear = {2002},\n}\n\n\n\n
\n
\n\n\n
\n Qualifying a subscriber loop for xDSL transmission can be done in many ways. Amongst all ways, methods that don't require an expensive truck-roll to the customer are preferred. In this paper we provide a method for an intelligent automated interpretation of reflectometric 1-port measurements at the central office. First, we focus on how reflectograms can be characterised. Next, we build up intelligence in the system to deal with the uncertainty on the characteristics and to infer the topology by means of a belief network. Eventually, we combine in an artificial intelligent way, by means of a rule-based expert system all available knowledge and derive the basic loop properties i.e. the topology and the delays of the individual line sections.\n
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\n\n
\n
\n  \n 2000\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Analisis y Diseno de una Solucion Tecnica para el Uso de Multimedia y Videoconferencia para el Desarrollo de la Educacion a Distancia en la ESPOL.\n \n \n \n \n\n\n \n Ochoa, X.; and Peláez, E.\n\n\n \n\n\n\n Tecnológica, 14(1): 21–30. 2000.\n \n\n\n\n
\n\n\n\n \n \n \"AnalisisPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ochoa_analisis_2000,\n\ttitle = {Analisis y {Diseno} de una {Solucion} {Tecnica} para el {Uso} de {Multimedia} y {Videoconferencia} para el {Desarrollo} de la {Educacion} a {Distancia} en la {ESPOL}},\n\tvolume = {14},\n\tcopyright = {All rights reserved},\n\turl = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-RTE2000.pdf},\n\tnumber = {1},\n\tjournal = {Tecnológica},\n\tauthor = {Ochoa, Xavier and Peláez, Enrique},\n\tyear = {2000},\n\tpages = {21--30},\n}\n\n\n\n
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