Applying Classification Techniques in Machine Learning to Predict Job Satisfaction of University Professors: A Sociodemographic and Occupational Perspective

This article investigates the factors that affect the job satisfaction of university teachers for which 400 teachers from 4 institutions (public and private) in Ecuador were stratified, resulting in a total of 1600 data points collected through online forms. The research was of a cross-sectional des...

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Autors principals:	Carlos Alberto Espinosa-Pinos, Paúl Bladimir Acosta-Pérez, Camila Alessandra Valarezo-Calero
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-12-01
Col·lecció:	Computers
Matèries:	automatic learning university teachers work factors job satisfaction sociodemographic variables
Accés en línia:	https://www.mdpi.com/2073-431X/13/12/344
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