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Direct linkThao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics
Peer reviewedSerwatka, Judy A. – T.H.E. Journal, 2002
Discusses how to improve student performance in distance learning courses, based on experiences at Purdue University, Calumet. Highlights include preventing student withdrawals; enrollments by discipline; course comparisons; course assessment; student evaluations of courses; testing; alleviating problems; e-mail; feedback; course management…
Descriptors: Academic Achievement, Computer Assisted Testing, Course Evaluation, Distance Education
