Survey data supporting research on the adoption of generative AI in Saudi higher education institutions. The dataset includes raw data, a measurement model, and a structural model for analysis. The research was authored by Riyaz Sheikh and last updated on June 14, 2026.
Use Cases
- Modeling technology acceptance factors based on the integrated TTF-UTAUT framework described.
- Analyzing barriers to generative AI adoption in higher education based on survey constructs.
- Benchmarking AI-driven educational quality initiatives within the Saudi Arabian context.
Strengths
- Dataset is structured for confirmatory analysis with separate measurement and structural model files.
- Focuses on a specific geographic and institutional context: Saudi higher education.
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
- Riyaz Sheikh Dataverse
- Collection Method
- Likely contains survey data collected for academic research.
- Freshness
- Last updated 2026-06-14 06:57:53; freshness should be verified.
- Geography
- Saudi Arabia