A machine learning approach to identifying key predictors of Peruvian school principals' job satisfaction

A machine learning approach to identifying key predictors of Peruvian school principals' job satisfaction

School principals encounter contemporary demands that impact their job satisfaction and leadership effectiveness. Despite the significance of this issue, there is limited research on satisfaction predictors for these professionals, particularly using machine learning approaches. This study identifie...

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Main Authors: Luis Alberto Holgado-Apaza, Dany Dorian Isuiza-Perez, Nelly Jacqueline Ulloa-Gallardo, Yban Vilchez-Navarro, Ruth Nataly Aragon-Navarrete, Wilian Quispe Layme, Marleny Quispe-Layme, Danger David Castellon-Apaza, Remo Choquejahua-Acero, Jaime Cesar Prieto-Luna
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Education
Subjects:
educational leadership
feature selection ensemble
job satisfaction
machine learning
Peruvian education
school principals
Online Access:https://www.frontiersin.org/articles/10.3389/feduc.2025.1580683/full
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https://www.frontiersin.org/articles/10.3389/feduc.2025.1580683/full

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