PERC 2019 Abstract Detail Page
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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 |
| Co-Author(s) and Co-Presenter(s) |
Michael Dumelle - Oregon State University Katy Williams - Oregon State University |
Contributed Poster | |
| Contributed Poster: | Download the Contributed Poster |
