Student AI Adoption, Productivity and Mental Health Survey Data

A dataset exploring the impact of AI tools on student productivity, academic performance, and mental health. The data was collected via a survey, likely from Kaggle. The specific time range and number of respondents are unknown.

Use Cases

• Analyze correlations between AI tool usage and academic performance based on survey responses.
• Model the relationship between AI adoption and reported mental health outcomes.
• Identify factors influencing student productivity based on AI tool usage patterns.

Strengths

• Focuses on a contemporary and relevant topic in education and technology.
• The description suggests it integrates multiple concepts: AI adoption, productivity, and mental health.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

Likely collected via a survey.