Social networks, communication styles, and learning performance in a CSCL community. Cho, H., Gay, G., Davidson, B., & Ingraffea, A. Computers & Education, 49(2):309-329, Elsevier, 2007. ![Social networks, communication styles, and learning performance in a CSCL community [pdf]](https://bibbase.org/img/filetypes/pdf.svg "pdf")
Paper ![Social networks, communication styles, and learning performance in a CSCL community [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website abstract bibtex The aim of this study is to empirically investigate the relationships between communication styles, social networks, and learning performance in a computer-supported collaborative learning (CSCL) community. Using social network analysis (SNA) and longitudinal survey data, we analyzed how 31 distributed learners developed collaborative learning social networks, when they had work together on the design of aerospace systems using online collaboration tools. The results showed that both individual and structural factors (i.e., communication styles and a pre-existing friendship network) significantly affected the way the learners developed collaborative learning social networks. More specifically, learners who possessed high willingness to communicate (WTC) or occupied initially peripheral network positions were more likely to explore new network linkages. We also found that the resultant social network properties significantly influenced learn- ersÕ performance to the extent that central actors in the emergent collaborative social network tended to get higher final grades. The study suggests that communication and social networks should be central elements in a distributed learning environment. We also propose that the addition of personality theory (operation- alized here as communication styles) to structural analysis (SNA) contributes to an enhanced picture of how distributed learners build their social and intellectual capital in the context of CSCL. Ó 2005 Elsevier Ltd. All rights reserved.
@article{
title = {Social networks, communication styles, and learning performance in a CSCL community},
type = {article},
year = {2007},
pages = {309-329},
volume = {49},
websites = {http://www.sciencedirect.com/science/article/pii/S0360131505001272},
publisher = {Elsevier},
id = {c1db55c0-7213-364c-9e8c-4f907f06847c},
created = {2013-11-25T16:15:50.000Z},
file_attached = {true},
profile_id = {4b3bebbe-b022-3c83-8221-118c9ba5a571},
group_id = {ab695928-535d-3373-a630-70913ea6b675},
last_modified = {2013-12-03T13:14:02.000Z},
read = {true},
starred = {false},
authored = {false},
confirmed = {true},
hidden = {true},
citation_key = {Cho2007},
source_type = {article},
abstract = {The aim of this study is to empirically investigate the relationships between communication styles, social networks, and learning performance in a computer-supported collaborative learning (CSCL) community. Using social network analysis (SNA) and longitudinal survey data, we analyzed how 31 distributed learners developed collaborative learning social networks, when they had work together on the design of aerospace systems using online collaboration tools. The results showed that both individual and structural factors (i.e., communication styles and a pre-existing friendship network) significantly affected the way the learners developed collaborative learning social networks. More specifically, learners who possessed high willingness to communicate (WTC) or occupied initially peripheral network positions were more likely to explore new network linkages. We also found that the resultant social network properties significantly influenced learn- ersÕ performance to the extent that central actors in the emergent collaborative social network tended to get higher final grades. The study suggests that communication and social networks should be central elements in a distributed learning environment. We also propose that the addition of personality theory (operation- alized here as communication styles) to structural analysis (SNA) contributes to an enhanced picture of how distributed learners build their social and intellectual capital in the context of CSCL. Ó 2005 Elsevier Ltd. All rights reserved.},
bibtype = {article},
author = {Cho, Hichang and Gay, Geri and Davidson, Barry and Ingraffea, Anthony},
journal = {Computers & Education},
number = {2}
}
Downloads: 0
{"_id":"rDbSSbbk6eHxv3xkr","bibbaseid":"cho-gay-davidson-ingraffea-socialnetworkscommunicationstylesandlearningperformanceinacsclcommunity-2007","downloads":0,"creationDate":"2016-03-15T09:40:26.787Z","title":"Social networks, communication styles, and learning performance in a CSCL community","author_short":["Cho, H.","Gay, G.","Davidson, B.","Ingraffea, A."],"year":2007,"bibtype":"article","biburl":null,"bibdata":{"title":"Social networks, communication styles, and learning performance in a CSCL community","type":"article","year":"2007","pages":"309-329","volume":"49","websites":"http://www.sciencedirect.com/science/article/pii/S0360131505001272","publisher":"Elsevier","id":"c1db55c0-7213-364c-9e8c-4f907f06847c","created":"2013-11-25T16:15:50.000Z","file_attached":"true","profile_id":"4b3bebbe-b022-3c83-8221-118c9ba5a571","group_id":"ab695928-535d-3373-a630-70913ea6b675","last_modified":"2013-12-03T13:14:02.000Z","read":"true","starred":false,"authored":false,"confirmed":"true","hidden":"true","citation_key":"Cho2007","source_type":"article","abstract":"The aim of this study is to empirically investigate the relationships between communication styles, social networks, and learning performance in a computer-supported collaborative learning (CSCL) community. Using social network analysis (SNA) and longitudinal survey data, we analyzed how 31 distributed learners developed collaborative learning social networks, when they had work together on the design of aerospace systems using online collaboration tools. The results showed that both individual and structural factors (i.e., communication styles and a pre-existing friendship network) significantly affected the way the learners developed collaborative learning social networks. More specifically, learners who possessed high willingness to communicate (WTC) or occupied initially peripheral network positions were more likely to explore new network linkages. We also found that the resultant social network properties significantly influenced learn- ersÕ performance to the extent that central actors in the emergent collaborative social network tended to get higher final grades. The study suggests that communication and social networks should be central elements in a distributed learning environment. We also propose that the addition of personality theory (operation- alized here as communication styles) to structural analysis (SNA) contributes to an enhanced picture of how distributed learners build their social and intellectual capital in the context of CSCL. Ó 2005 Elsevier Ltd. All rights reserved.","bibtype":"article","author":"Cho, Hichang and Gay, Geri and Davidson, Barry and Ingraffea, Anthony","journal":"Computers & Education","number":"2","bibtex":"@article{\n title = {Social networks, communication styles, and learning performance in a CSCL community},\n type = {article},\n year = {2007},\n pages = {309-329},\n volume = {49},\n websites = {http://www.sciencedirect.com/science/article/pii/S0360131505001272},\n publisher = {Elsevier},\n id = {c1db55c0-7213-364c-9e8c-4f907f06847c},\n created = {2013-11-25T16:15:50.000Z},\n file_attached = {true},\n profile_id = {4b3bebbe-b022-3c83-8221-118c9ba5a571},\n group_id = {ab695928-535d-3373-a630-70913ea6b675},\n last_modified = {2013-12-03T13:14:02.000Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {true},\n citation_key = {Cho2007},\n source_type = {article},\n abstract = {The aim of this study is to empirically investigate the relationships between communication styles, social networks, and learning performance in a computer-supported collaborative learning (CSCL) community. Using social network analysis (SNA) and longitudinal survey data, we analyzed how 31 distributed learners developed collaborative learning social networks, when they had work together on the design of aerospace systems using online collaboration tools. The results showed that both individual and structural factors (i.e., communication styles and a pre-existing friendship network) significantly affected the way the learners developed collaborative learning social networks. More specifically, learners who possessed high willingness to communicate (WTC) or occupied initially peripheral network positions were more likely to explore new network linkages. We also found that the resultant social network properties significantly influenced learn- ersÕ performance to the extent that central actors in the emergent collaborative social network tended to get higher final grades. The study suggests that communication and social networks should be central elements in a distributed learning environment. We also propose that the addition of personality theory (operation- alized here as communication styles) to structural analysis (SNA) contributes to an enhanced picture of how distributed learners build their social and intellectual capital in the context of CSCL. Ó 2005 Elsevier Ltd. All rights reserved.},\n bibtype = {article},\n author = {Cho, Hichang and Gay, Geri and Davidson, Barry and Ingraffea, Anthony},\n journal = {Computers & Education},\n number = {2}\n}","author_short":["Cho, H.","Gay, G.","Davidson, B.","Ingraffea, A."],"urls":{"Paper":"http://bibbase.org/service/mendeley/4f16c058-a984-39f6-a498-12d84e30c6e7/file/4b5798b0-8698-c656-43fe-0b52a68f22c6/2007-Social_networks_communication_styles_and_learning_performance_in_a_CSCL_community.pdf.pdf","Website":"http://www.sciencedirect.com/science/article/pii/S0360131505001272"},"bibbaseid":"cho-gay-davidson-ingraffea-socialnetworkscommunicationstylesandlearningperformanceinacsclcommunity-2007","role":"author","downloads":0},"search_terms":["social","networks","communication","styles","learning","performance","cscl","community","cho","gay","davidson","ingraffea"],"keywords":[],"authorIDs":[]}