Ghanaian Basic School Teachers' AI Literacy Survey Data

A 2026 survey of 319 basic school teachers in Ghana, collected via purposive sampling and analyzed using variance-based structural equation modeling. The dataset, authored by Valentina Arkorful and shared on figshare, measures AI literacy across four dimensions: knowledge, application, evaluation, and ethics. It provides insights into the interrelationships between these dimensions to inform AI education and professional development.

Use Cases

• Validate structural equation models based on the four AI literacy dimensions (KUAI, AAI, EAIA, AIE).
• Benchmark AI literacy levels among teachers based on survey responses from Ghana.
• Analyze correlations between AI application skills and ethical understanding based on the described relationships.
• Inform the design of teacher training programs based on identified areas for improvement in AI knowledge and evaluation.

Strengths

• Data from 319 respondents provides a specific sample size for analysis.
• Explicitly measures four distinct dimensions of AI literacy (KUAI, AAI, EAIA, AIE).
• Uses a specific analytical method (variance-based structural equation modeling).
• Clear geographic focus on basic school teachers in Ghana.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic and sampling bias inherent to the purposive survey in Ghana.

Provenance

Source

figshare, author Valentina Arkorful.

Collection Method

Cross-sectional survey design with purposive sampling.

Time Range

Survey conducted circa 2026.

Freshness

Last updated 2026-04-17 17:37:44; freshness should be verified.

Geography

Ghana.