This dataset analyzes student AI tool usage and its impact on academic performance. It includes data on study patterns and AI tool preferences. The dataset was authored by Raul and Prashna.
Use Cases
- Analyze correlations between AI tool preferences and academic performance metrics.
- Model study patterns to understand their relationship with AI usage frequency.
- Segment student populations based on their AI tool usage and study habits.
Strengths
- Dataset is actively maintained, with a last update in February 2026.
- Data originates from a university research repository, suggesting academic rigor.
Limitations
- The dataset's size, including row and column counts, is unknown, limiting assessment of statistical power.
- Specific data fields and file formats are not described, complicating usability planning.
Provenance
- Source
- Texas Data Repository Harvested Dataverse
- Collection Method
- null
- Time Range
- null
- Freshness
- Last updated 2026-02-16.
- Geography
- null