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Tian-Ge Xiang

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Open access Sep 2026

Construction of an Early Warning Model for Academic Burnout among High School Students Based on Learning Behaviour Data

An explainable machine-learning approach to identifying cases of academic burnout among high school students based on their observable learning behaviors is suggested, using a publicly accessible dataset that includes information about 649 adolescents and contains no validated burnout measurement.

Tian-Ge Xiang · 0 citations

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