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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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Principais autores: 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
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Education
Assuntos:
educational leadership
feature selection ensemble
job satisfaction
machine learning
Peruvian education
school principals
Acceso en liña:https://www.frontiersin.org/articles/10.3389/feduc.2025.1580683/full
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