Predicting Master’s students’ academic performance: an empirical study in Germany

Predicting Master’s students’ academic performance: an empirical study in Germany

Abstract The tremendous growth in electronic educational data creates the need to have meaningful information extracted from it. Educational Data Mining (EDM) is an exciting research area that can reveal valuable knowledge from educational databases. This knowledge can be used for many purposes, inc...

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Bibliographic Details
Main Authors: Sarah Alturki, Lea Cohausz, Heiner Stuckenschmidt
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:Smart Learning Environments
Subjects:
Educational data mining (EDM)
Higher education
Students’ dropout
Academic achievement
SMOTE
Online Access:https://doi.org/10.1186/s40561-022-00220-y

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