A Scoring Algorithm for the Early Prediction of Academic Risk in STEM Courses

A Scoring Algorithm for the Early Prediction of Academic Risk in STEM Courses

Educational data mining (EDM) and learning analytics (LA) are widely applied to predict student performance, particularly in determining academic success or failure. This study presents the development of a scoring algorithm for the early identification of students at risk of failing science, techno...

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Bibliographic Details
Main Authors: Vanja Čotić Poturić, Sanja Čandrlić, Ivan Dražić
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Algorithms
Subjects:
educational data mining
learning analytics
academic risk prediction
scoring algorithm
Cramér’s V
early intervention
Online Access:https://www.mdpi.com/1999-4893/18/4/177
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