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.