Ghana Basic School Teachers' AI Literacy Survey Data

Effect size (F-square) data from a study of 319 basic school teachers in Ghana. The dataset, authored by Valentina Arkorful and last updated in April 2026, examines AI literacy across four dimensions: knowledge, application, evaluation, and ethics. It was collected via a cross-sectional survey and analyzed using variance-based structural equation modeling.

Use Cases

• Modeling relationships between AI literacy dimensions based on the study's structural equation modeling results.
• Benchmarking AI literacy levels among teachers in Ghana based on the survey data.
• Informing the design of AI education and professional development programs based on identified areas for improvement.

Strengths

• Data is from a specific, purposive sample of 319 teachers.
• Explicitly measures four key aspects of AI literacy: knowledge, application, evaluation, and ethics.
• Analysis uses a variance-based structural equation modeling approach.

Limitations

• Row count and column-level documentation are unknown.
• Data is very small in scale at 5.5 KB, indicating limited scope.
• Geographic focus on Ghana may limit generalizability to other regions.

Provenance

Source

Valentina Arkorful via figshare.

Collection Method

Cross-sectional survey design with purposive sampling.

Time Range

Survey date not specified; dataset updated in 2026.

Freshness

Last updated 2026-04-17 17:37:50.

Geography

Ghana.