Predicting Student-Teachers Dropout Risk and Early Identification: A Four-Step Logistic Regression Approach

Predicting Student-Teachers Dropout Risk and Early Identification: A Four-Step Logistic Regression Approach

Student-teachers’ dropout is a complicated and serious issue in the learning process, with its attendant negative implications on students, academic institutions, economic resources, and society. This study investigated the composite and relative impact of personal (student), academic and...

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Detalles Bibliográficos
Main Authors: Harman Preet Singh, Hilal Nafil Alhulail
Formato: Artigo
Idioma:English
Publicado: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Dropout risk
early identification
least-developed economy
logistic regression model
prediction
student-teachers
Acceso en liña:https://ieeexplore.ieee.org/document/9676659/

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