Structural Model of AI Literacy Among 319 Basic School Teachers in Ghana

319 survey responses from basic school teachers in Ghana, collected via purposive sampling for a cross-sectional study. The dataset, created by Valentina Arkorful and last updated in April 2026, contains data on four key aspects of AI literacy: knowledge and understanding, application, application evaluation, and ethics. A variance-based structural equation modelling approach was used to explore relationships between these dimensions.

Use Cases

• Model the relationships between AI literacy dimensions based on the four key aspects described.
• Benchmark AI literacy levels among teachers in Ghana based on the survey data.
• Inform the design of AI education and professional development programs based on the identified areas for improvement.

Strengths

• Data from 319 respondents provides a basis for statistical analysis.
• Focus on four defined AI literacy aspects (knowledge, application, evaluation, ethics) provides a structured framework.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is limited to a specific geographic context (Ghana) and population (basic school teachers).

Provenance

Source

figshare

Collection Method

Cross-sectional survey design with purposive sampling.

Time Range

Survey date is not specified.

Freshness

Last updated 2026-04 17:37:48; freshness should be verified.

Geography

Ghana