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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Carlos Alberto Espinosa-Pinos, Paúl Bladimir Acosta-Pérez, Camila Alessandra Valarezo-Calero
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Computers
Subjects:
automatic learning
university teachers
work factors
job satisfaction
sociodemographic variables
Online Access:https://www.mdpi.com/2073-431X/13/12/344
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2073-431X/13/12/344

Similar Items