Survey Data on AI Perceptions in UAE Higher Education Institutions

Ahmed Alradaideh's survey dataset contains 413 respondent records with 47 variables, exploring mental models and human interaction concerning Artificial Intelligence. The data was published on figshare and last updated in April 2026. It appears to be a cross-sectional survey conducted within UAE Higher Education Institutions (HEIs).

Use Cases

• Analyze correlations between demographic variables and Likert-scale items measuring attitudes toward AI.
• Cluster respondents based on 47 survey variables to identify distinct mental model profiles regarding AI interaction.
• Model the relationship between human interaction quality scores and specific perception variables concerning AI in education.
• Conduct factor analysis on the 47 survey items to reduce dimensionality and identify latent constructs driving AI perceptions.

Strengths

• Contains 413 complete respondent records, providing a substantive sample for analysis.
• Offers 47 distinct variables per record, allowing for multi-faceted exploration of the topic.
• Data is openly licensed under CC-BY-4.0, permitting wide reuse and sharing.

Limitations

• The dataset is small in scale at 158.5 KB, limiting the complexity of models that can be trained.
• Without access to the column names, the specific constructs measured by the 47 variables are unclear.
• Geographic scope is limited to the United Arab Emirates, reducing generalizability to other regions.

Provenance

Source

Ahmed Alradaideh via the figshare repository.

Collection Method

Likely gathered via a survey instrument administered within UAE Higher Education Institutions (HEIs).

Freshness

Last updated on 2026-04-03, indicating it is a recent or forward-dated publication.

Geography

United Arab Emirates (UAE), specifically within Higher Education Institutions (HEIs).