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How Do Gender, Learning Goals, and Forum Participation Predict Persistence in a Computer Science MOOC?
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Crues, R. Wes; Henricks, Genevieve M.; Perry, Michelle; Bhat, Suma; Anderson, Carolyn J.; Shaik, Najmuddin; Angrave, Lawrence – ACM Transactions on Computing Education, 2018
Massive Open Online Courses (MOOCs)--in part, because of their free, flexible, and relatively anonymous nature--may provide a means for helping overcome the large gender gap in Computer Science (CS). This study examines why women and men chose to enroll in a CS MOOC and how this is related to successful behavior in the course by (a) using k-means…
Descriptors: Online Courses, Computer Science Education, Persistence, Gender Differences
Proceedings of the International Conference on Educational Data Mining (EDM) (12th, Montreal, Canada, July 2-5, 2019)
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis