Predictive Characteristics of Teacher Burnout Subdimensions: A Study of Teachers in Seoul

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Key Points

The aim is to analyze how job demands, job resources, and personal resources predict subdimensions of teacher burnout.
Utilized data from the Seoul Teacher Longitudinal Study (2020) to examine the relationships.
Applied random forest and SHAP to analyze the relative predictive contributions and distribution of predicted values.
Investigated response values and predicted values across different burnout subdimensions.
Emotional exhaustion is primarily predicted by job demands like relational conflicts and workload.
Depersonalization is also predicted by job demands with significant factors including conflicts with students, parents, and colleagues.
Personal accomplishment reduction is associated with individual resources such as motivation and teacher efficacy.

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Analyzes predictive factors of burnout subdimensions in teachers, suggesting tailored interventions are needed.

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방지우 et al. (2026) studied this question.

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