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Predicting and Comparing Students’ Online and Offline Academic Performance Using Machine Learning Algorithms

Due to COVID-19, the researching of educational data and the improvement of related systems have become increasingly important in recent years. Educational institutions seek more information about their students to find ways to utilize their talents and address their weaknesses. With the emergence o...

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Detalles Bibliográficos
Autores principales: Holicza, Barnabás, Kiss, Attila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10135855/
https://www.ncbi.nlm.nih.gov/pubmed/37102803
http://dx.doi.org/10.3390/bs13040289