Browsing College of Engineering and Science by Subject "Online course"
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Identifying Student Behavior for Improving Online Course Performance with Machine Learning
(2015-12)In this study we investigate the correlation between student behavior and performance in online courses. Based on the web logs and syllabus of a course, we extract features that characterize student behavior. Using machine ...