Using explainable AI to align pre-university profiles with bachelor’s degree success

Abstract Transitioning from pre-university studies to a bachelor’s degree can be quite challenging, as students often have to choose from a wide range of programs without knowing their academic compatibility. This lack of information can lead to poor performance or even dropout. To tackle this issue...

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Bibliografiske detaljer

Principais autores:	Juan Ramón Rico-Juan, María Luisa Pertegal-Felices, Antonio Jimeno-Morenilla
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2025-12-01
Serier:	Scientific Reports
Fag:	Recommender system Vocational orientation Career counseling Student dropout Academic performance Explainable artificial intelligence (XAI)
Online adgang:	https://doi.org/10.1038/s41598-025-28179-z
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