Performance prediction using educational data mining techniques: a comparative study

Abstract Predicting student performance has been a critical focus of educational research. With an effective predictive model, schools can identify potentially at-risk students and implement timely interventions to support student success. Recent developments in educational data mining (EDM) have in...

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Bibliographic Details
Main Authors: Yaosheng Lou, Kimberly F. Colvin
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Education
Subjects:
Online Access:https://doi.org/10.1007/s44217-025-00502-w
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