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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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Uloženo v:
Hlavní autoři: Carlos Alberto Espinosa-Pinos, Paúl Bladimir Acosta-Pérez, Camila Alessandra Valarezo-Calero
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2024-12-01
Edice:Computers
Témata:
automatic learning
university teachers
work factors
job satisfaction
sociodemographic variables
On-line přístup:https://www.mdpi.com/2073-431X/13/12/344
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