AI Use and Ethical Implications in Zimbabwean Higher Education Survey

Zimbabwean higher education data from a mixed-methods study on artificial intelligence adoption and its ethical implications. The dataset was authored by Dabengwa, I.M., and last updated on 2026-04-16. It likely contains survey and qualitative data from students across four study centers.

Use Cases

• Analyze perceptions of AI ethics based on survey responses mentioned in the description
• Study stakeholder consultation priorities for AI policy drafting based on the described findings
• Model adherence to FATE principles (Fairness, Accountability, Transparency, Authenticity) in educational AI integration
• Investigate concerns about private data security in AI systems as described in the study

Strengths

• Data is licensed under CC-BY-4.0, allowing for open sharing and reuse
• Study employed a mixed-methods approach combining quantitative and qualitative data
• Population included students from all four study centers, suggesting a structured sampling approach

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Dataset size is listed as 0.0 B, indicating a very limited scope or potential metadata-only record

Provenance

Source

figshare

Collection Method

Combined quantitative (survey) and qualitative approaches within a pragmatic framework.

Time Range

null

Freshness

Last updated 2026-04-16 04:14:06; freshness should be verified

Geography

Zimbabwe, specifically higher and tertiary education institutions.