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ERIC Number: ED537220
Record Type: Non-Journal
Publication Date: 2012-Jun
Pages: 4
Abstractor: As Provided
Reference Count: 2
ISBN: N/A
ISSN: N/A
Identifying Successful Learners from Interaction Behaviour
McCuaig, Judi; Baldwin, Julia
International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (5th, Chania, Greece, Jun 19-21, 2012)
The interaction behaviours of successful, high-achieving learners when using a Learning Management System (LMS) are different than the behaviours of learners who are having more difficulty mastering the course material. This paper explores the idea that conventional Learning Management Systems can exploit data mining techniques to predict the success or failure of students without requiring the results of formal assessments. This paper describes a study with a second semester computer science class that shows that the success or failure of a learner can be predicted using information about learner interactions with course materials and learner self-reports of subject matter confidence. (Contains 6 figures and 3 tables.) [For the complete proceedings, "Proceedings of the International Conference on Educational Data Mining (EDM) (5th, Chania, Greece, June 19-21, 2012)," see ED537074.]
International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: http://www.educationaldatamining.org
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: International Educational Data Mining Society