Ghana Basic School Teachers' AI Literacy Survey Data
by Valentina Arkorful·Updated 1mo ago
5.5 KB1files
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Description
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.
Data is provided in XLS format. License is CC-BY-4.0.