High School Student Burnout Data with Daily Schedules and Support Factors

2,000 high school students are represented in this dataset focused on burnout prediction. The data includes information on daily schedules and perceived support. It was sourced from Kaggle, but the original author, collection method, and specific time period are not detailed.

Use Cases

• Predict student burnout risk based on daily schedule patterns mentioned in the description
• Analyze correlations between perceived support levels and burnout indicators
• Build classification models to identify at-risk high school student profiles

Strengths

• Includes data from 2,000 high school students
• Covers multiple factors like daily schedules and support systems

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect geographic/temporal/source bias inherent to Kaggle

Provenance

Source

Kaggle