Identifying at-risk students at an early stage is a challenging task for colleges and universities. In this paper, we use students' oncampus network traffic volume to construct several useful features in predicting their first semester GPA. In particular, we build proxies for their attendance, class engagement, and out-of-class study hours based…

In a recent study, de Araujo and Murray (2010) find empirical evidence that living on campus leads to improved student performance, finding both immediate effects (GPA improves while the student lives on campus) and permanent effects (GPA remains higher even after moving off campus). Using the same dataset, we extend the analysis to explain why…

We present results for a decade-long assessment program for an introductory course for non-science majors. This study focuses on student evaluation data and student-supplied information about sex, race, age, academic background, student study time, study habits, and course grade. The results reveal a statistically significant positive relationship…