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ERIC Number: ED560510
Record Type: Non-Journal
Publication Date: 2015-Jun
Pages: 8
Abstractor: As Provided
Reference Count: 26
ISBN: N/A
ISSN: N/A
Methodological Challenges in the Analysis of MOOC Data for Exploring the Relationship between Discussion Forum Views and Learning Outcomes
Bergner, Yoav; Kerr, Deirdre; Pritchard, David E.
International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (8th, Madrid, Spain, June 26-29, 2015)
Determining how learners use MOOCs effectively is critical to providing feedback to instructors, schools, and policy-makers on this highly scalable technology. However, drawing inferences about student learning outcomes in MOOCs has proven to be quite difficult due to large amounts of missing data (of various kinds) and to the diverse population of MOOC participants. Thus significant methodological challenges must be addressed before seemingly straightforward substantive questions can be answered. The present study considers modeling final exam performance outcomes on early-stage ability estimates, discussion forum viewing frequency, and overall assessment-oriented engagement (AOE, seen as a proxy measure of motivation). These variables require careful operationalization, analysis of which is the principle contribution of this work. This study demonstrates that the effect sizes of discussion forum viewing activities on final exam outcomes are quite sensitive to these choices. [For complete proceedings, see ED560503.]
International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: http://www.educationaldatamining.org
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: International Educational Data Mining Society