College Students Academic Performance with Behavioral and Intervention Data

College Students Academic Performance Dataset contains information on student learning behavior, performance, interventions, and academic risk. The dataset was uploaded to Kaggle, but its author, organization, and specific collection details are unknown. The number of records, file formats, and last update date are also unspecified.

Use Cases

• Predicting student academic risk based on learning behavior data mentioned in the description
• Evaluating the impact of interventions on student performance metrics
• Analyzing correlations between different behavioral patterns and academic outcomes
• Building classification models to identify at-risk students for targeted support

Strengths

• The description explicitly mentions multiple data facets: learning behavior, performance, intervention, and academic risk, suggesting a multi-dimensional structure.
• The dataset focuses on a specific and actionable domain: college student academic performance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.