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Direct linkUmar Bin Qushem; Solomon Sunday Oyelere; Gökhan Akçapinar; Rogers Kaliisa; Mikko-Jussi Laakso – Technology, Knowledge and Learning, 2024
Predicting academic performance for students majoring in computer science has long been a significant field of research in computing education. Previous studies described that accurate prediction of students' early-stage performance could identify low-performing students and take corrective action to improve performance. Besides, adopting machine…
Descriptors: Predictor Variables, Learning Analytics, At Risk Students, Computer Science
Dar, Yechezkel; Getz, Shlomo – Higher Education: The International Journal of Higher Education and Educational Planning, 2007
Choice of institution and field of study for a bachelor's degree in Israel was found essentially meritocratic although influenced by socioeconomic status (SES) as well. As expected, students of higher ability attend universities and those of lower apply to academic colleges. However, among students of higher ability, those of higher SES opt for…
Descriptors: Foreign Countries, Student Placement, Social Sciences, Labor Market
