Student Performance Prediction from Behavior and Lifestyle Data

Student behavior, lifestyle, and time-series data for predicting academic performance. The dataset is hosted on Kaggle, but the number of records, specific features, and creation details are not provided. Information on the author, organization, and last update date is unavailable.

Use Cases

• Predict student performance scores using behavioral and lifestyle time-series data.
• Analyze correlations between specific lifestyle features and academic outcomes.
• Build classification models to identify at-risk students based on behavioral patterns.
• Conduct time-series analysis on student activity data to observe trends affecting performance.

Strengths

• Contains multiple data modalities for prediction, including behavioral and time-series data.
• Designed for a specific predictive task: forecasting student performance.

Limitations

• The total number of student records and rows is unknown.
• The specific columns and features available for modeling are not documented.
• Potential geographic or institutional bias is unverified due to missing provenance details.

Provenance

Source

Kaggle