Código QR (código de barras bidimensional)

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...

ver descrição completa

Na minha lista:
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 em: MDPI AG 2022-08-01
coleção:Data
Assuntos:
dropout prediction
student attrition
machine learning
educational data mining
learning analytics
educational innovation
Acesso em linha:https://www.mdpi.com/2306-5729/7/9/119
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados