Student Dataset from Tecnologico de Monterrey in Mexico to Predict Dropout in Higher Education

High dropout rates and delayed completion in higher education are associated with considerable personal and social costs. In Latin America, 50% of students drop out, and only 50% of the remaining ones graduate on time. Therefore, there is an urgent need to identify students at risk and understand th...

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Principais autores:	Joanna Alvarado-Uribe, Paola Mejía-Almada, Ana Luisa Masetto Herrera, Roland Molontay, Isabel Hilliger, Vinayak Hegde, José Enrique Montemayor Gallegos, Renato Armando Ramírez Díaz, Hector G. Ceballos
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2022-08-01
Series:	Data
Assuntos:	dropout prediction student attrition machine learning educational data mining learning analytics educational innovation
Acceso en liña:	https://www.mdpi.com/2306-5729/7/9/119
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