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Abstract Title: Tracking students engagement with open educational resources and online homework
Abstract: As online and digital learning tools and resources become more common in instruction, new data science approaches are available to study student learning. In this study we perform correlation data mining of individual students' click stream on both open educational resources and online homework for a large algebra-based introductory physics course. We present the results of this exploratory analysis, along with a preliminary inferential and predictive model. We find that the number of views of pre-lectures videos and the number of online homework submissions are strongly correlated with course grade.
Abstract Type: Contributed Poster Presentation
Session Time: Poster Session I
Poster Number: A65
Contributed Paper Record: Contributed Paper Information
Contributed Paper Download: Download Contributed Paper

Author/Organizer Information

Primary Contact: Kenneth C. Walsh
Oregon State University
301 Weniger Hall
Corvallis, OR 97331
Phone: 5417608942
and Co-Presenter(s)
Michael Dumelle - Oregon State University
Katy Williams - Oregon State University

Contributed Poster

Contributed Poster: Download the Contributed Poster