ChatGPT Usage and Attitudes Among Saudi Medical Students, 2025 Survey
by Ali Qasem Mohammed AlAlwan·Updated 1mo ago
149.2 KB1files
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Description
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)
Dataset is a 149.2 KB PDF file; the underlying tabular data may require extraction.