Survey Responses on Generative AI Use in Teaching and Research Across 20 Countries

563 open-ended survey responses from 20 countries provide an international perspective on the functional, rhetorical, and critical uses of Generative AI in education and research. The dataset was created by Ehsan Mohammadi and last updated in April 2026. A dual qualitative analysis approach, combining inductive thematic analysis with deductive coding from two AI literacy frameworks, was applied to the responses.

Use Cases

• Analyze themes of AI use in lesson preparation and rubric design based on teaching applications described in the survey.
• Study concerns about human deskilling and creativity suppression based on critical engagements mentioned by respondents.
• Investigate the use of GenAI for manuscript development and literature exploration based on research applications identified in the data.
• Examine international perspectives on AI literacy integration into curricula based on the survey's geographic scope.

Strengths

• 563 qualitative responses provide a substantive text corpus for analysis.
• Data collection spans 20 countries, offering an international perspective.
• Analysis is informed by two established frameworks: the Moxie AI Literacies Framework and the Digital Education Council AI Literacy Framework.

Limitations

• The dataset is a 33.1 KB DOCX file, indicating a very limited textual scope, likely a summary or analysis document rather than raw survey data.
• Row count and column-level documentation for the underlying survey data are unknown.
• The description does not specify the time range of the original survey data collection.

Provenance

Source

Ehsan Mohammadi via figshare.

Collection Method

Drawn from a survey of 20 countries, with responses analyzed via inductive thematic analysis and deductive coding.

Freshness

Last updated 2026-04-24 23:52:26.

Geography

Survey covered 20 countries (specific countries not listed).