Predicting teacher turnover in private universities: a machine learning approach based on 10 years of data and satisfaction factors

This study proposes an "EFA + ML" hybrid approach that enhances feature interpretability and prediction robustness, offering practical insights for human resource management in private higher education institutions.

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Publication Details

Journal
Frontiers in Psychology
Published
2025-11-06
DOI
https://doi.org/10.3389/fpsyg.2025.1670195
Primary Topic
AI and HR Technologies
Type
article
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article

Predicting teacher turnover in private universities: a machine learning approach based on 10 years of data and satisfaction factors

Xiaohong Yang, Jingwen Wang, Yi Liu
Frontiers in Psychology
AI and HR Technologies
article

Predicting teacher turnover in private universities: a machine learning approach based on 10 years of data and satisfaction factors

Xiaohong Yang, Jingwen Wang, Yi Liu
article en

Abstract

This study proposes an "EFA + ML" hybrid approach that enhances feature interpretability and prediction robustness, offering practical insights for human resource management in private higher education institutions.

Frontiers in PsychologyVol. 16
Northwest Normal University (CN)
Openalex Percentile: Top 62%
AI and HR Technologies
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Predicting teacher turnover in private universities: a machine learning approach based on 10 years of data and satisfaction factors — Xiaohong Yang, Jingwen Wang, et al. · Frontiers in Psychology (2025) | TGRS Research Map | TGRS