ChatGPT Usage and Attitudes Among Saudi Medical Students, 2025 Survey

Ali Qasem Mohammed AlAlwan published a cross-sectional survey dataset on figshare in 2026. The data describes patterns of ChatGPT usage, perceptions, attitudes, and practices among 328 undergraduate medical students at King Faisal University, Saudi Arabia, collected between August and October 2025. It includes scores for perception, attitude, and practice, along with demographic and academic predictors.

Use Cases

• Analyze predictors of positive AI tool perception based on demographic and academic variables mentioned in the description
• Model the relationship between usage frequency and reported helpfulness for understanding medical concepts
• Investigate student concerns about over-reliance on AI and its potential impact on critical thinking skills
• Compare attitudes toward ChatGPT across different academic years and GPA levels

Strengths

• Data collected from 328 undergraduate medical students using a validated 44-item instrument
• Provides specific usage statistics: 97.6% prior use, 60.1% frequent use, and mean perception, attitude, and practice scores
• Includes results of multiple regression analysis identifying significant predictors (R²=0.11–0.15)

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is limited to a single university in Saudi Arabia, which may affect generalizability

Provenance

Source

King Faisal University, Saudi Arabia

Collection Method

Cross-sectional survey using a validated 44-item instrument, analyzed with SPSS

Time Range

August to October 2025

Freshness

Last updated 2026-04-22 05:46:37; freshness should be verified

Geography

Saudi Arabia (King Faisal University)