@article{
 title = {An investigation of students behavior in discussion forums using Educational Data Mining},
 type = {article},
 identifiers = {[object Object]},
 keywords = {Behavior Aspects,Clustering,Discussion Forums,Distance Education,Educational Data Mining},
 id = {5319e217-aa5a-3e5c-8441-ce05102fc20a},
 created = {2020-02-03T14:08:52.344Z},
 accessed = {2020-02-03},
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 profile_id = {bfdabac2-d7f2-3c5b-aa7a-06431c0ae35e},
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 last_modified = {2020-02-03T14:08:52.704Z},
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 abstract = {Discussion forums are an important feature in the Distance Education courses, supporting learning and facilitating interaction between students and teachers. This work aims to investigate behavioral aspects of students in virtual learning environments using Educational Data Mining. It is proposed to use the K-Means clustering technique as a way to identify students with common patterns of behavior based on their interactions in the forums. This work achieves good results from the application of clustering technique for this particular issue.},
 bibtype = {article},
 author = {Machado, Crystiano J R and Lima, Bruno R B and Maciel, Alexandre M A and Rodrigues, Rodrigo L}
}

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