Student AI Tools vs Exam Scores: Impact on Academic Performance

A dataset exploring the relationship between student use of AI tools and academic outcomes. The dataset was sourced from Kaggle, but its author, size, and temporal coverage are unspecified. Its description suggests it is designed for analyzing the impact of AI tool adoption on exam scores.

Use Cases

• Correlating AI tool usage frequency with exam performance based on the described relationship.
• Modeling factors influencing academic success in the context of AI-assisted learning.
• Segmenting student populations by AI tool adoption patterns and academic achievement.

Strengths

• Focuses on a timely and relevant topic in educational technology research.
• The description clearly states the core research question regarding AI tools and academic performance.

Limitations

• Row count, column definitions, and sample data are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Last update date, license, and author are unknown; freshness and provenance are unverified.

Provenance

Source

Kaggle

Collection Method

Unknown; likely a survey or academic study based on the description.

Time Range

Unknown

Freshness

Last updated date is unknown.

Geography

Unknown