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Hershkovitz, Arnon; Ambrose, Alex – Journal of Learning Analytics, 2022
In this qualitative study (N=6), we explored insights of first-year students' instructors and advisors into an early identification system aimed at detecting non-thriving students in the context of an all-campus first-year orientation course for undergraduates. Following the development of that prediction model in a bottom-up manner, using a…
Descriptors: College Freshmen, College Faculty, Academic Advising, Low Achievement
Pytlarz, Ian; Pu, Shi; Patel, Monal; Prabhu, Rajini – International Educational Data Mining Society, 2018
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…
Descriptors: College Freshmen, Grade Point Average, At Risk Students, Academic Achievement
National Survey of Student Engagement, 2016
The National Survey of Student Engagement (NSSE) and its companion projects serve colleges and universities committed to monitoring and improving the quality of the undergraduate experience. While participating institutions receive detailed customized reports, the "Annual Results" series presents noteworthy aggregate findings from the…
Descriptors: Undergraduate Students, National Surveys, Educational Quality, Student Characteristics