What is the AI Impact on Students Dataset?

It is a dataset that examines how generative AI usage affects student academic performance, skill development, study habits, mental health, and burnout risk.

How many students are included?

The dataset contains records for 50,000 students.

What AI-related features are included?

Features include weekly AI usage hours, AI tool diversity, prompt engineering skill, primary use cases, and perceived AI dependency.

Is the dataset suitable for machine learning?

Yes. It supports both classification and regression tasks, including GPA prediction, skill retention modeling, and burnout risk classification.

What target variables are available?

The primary target variables include Post Semester GPA, Skill Retention Score, and Burnout Risk Level.

Dataset Download Archive

Name: AI Impact on Students Dataset
Creator: GTS

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