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A DYNAMIC AI FRAMEWORK PREDICTS UNIVERSITY STUDENT PERFORMANCE FROM FORMATIVE DATA WITH HIGH ACCURACY.

The purpose of this study is to investigate the feasibility of employing artificial intelligence (AI) techniques to forecast the ultimate academic performance of college students by utilizing formative assessment data. The dataset consisted of 734 male students who were enrolled in an undergraduate...

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Publicado en:Scientific Culture Vol. 11; no. 4; pp. 1171 - 1184
Autor principal: Aljubaily, Hesham Yahya Ali
Formato: Artículo
Publicado: University of the Aegean 2025
Materias:
Artificial intelligence
Prediction models
Random forest algorithms
Longitudinal method
Ridge regression (Statistics)
Academic achievement
Formative evaluation
Acceso en línea:Ver este registro en EBSCOhost