A stacking ensemble machine learning method for early identification of students at risk of dropout

Early dropout of students is one of the bigger problems that universities face currently. Several machine learning techniques have been used for detecting students at risk of dropout. By using sociodemographic data and qualifications of the previous level, the accuracy of these predictive models is...

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Veröffentlicht in:Education and information technologies 2023-09, Vol.28 (9), p.12169-12189
Hauptverfasser: Talamás-Carvajal, Juan Andrés, Ceballos, Héctor G.
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Sprache:eng
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