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Modeling Job Satisfaction of Peruvian Basic Education Teachers Using Machine Learning Techniques

Teacher job satisfaction is an important aspect of academic performance, student retention, and teacher retention. We propose to determine the predictive model of job satisfaction of basic education teachers using machine learning techniques. The original data set consisted of 15,087 instances and 9...

Deskribapen osoa

Gorde:
Egile Nagusiak: Luis Alberto Holgado-Apaza, Edgar E. Carpio-Vargas, Hugo D. Calderon-Vilca, Joab Maquera-Ramirez, Nelly J. Ulloa-Gallardo, María Susana Acosta-Navarrete, José Miguel Barrón-Adame, Marleny Quispe-Layme, Rossana Hidalgo-Pozzi, Miguel Valles-Coral
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: MDPI AG 2023-03-01
Saila:Applied Sciences
Gaiak:
feature selection
predictive model
random forest
supervised learning
XGBoost
Sarrera elektronikoa:https://www.mdpi.com/2076-3417/13/6/3945
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