Generative AI Use in Doctoral Research Practices in Botswana

Botswana is the geographic focus of this qualitative study on Generative AI use in doctoral research. The dataset contains interview data from 15 doctoral students in science and engineering at one university, analyzed thematically. It was authored by Irina Zlotnikova and last updated on 2026-04-27.

Use Cases

• Analyzing barriers to AI adoption in academia based on reported reliability and accuracy concerns
• Studying the role of AI in research workflows based on described uses for idea development and literature review
• Investigating governance needs for educational technology based on findings regarding policy uncertainty and access barriers

Strengths

• Data is based on 15 semi-structured interviews, providing qualitative depth.
• The study offers empirical evidence from an underrepresented developing-country context (Botswana).
• The dataset includes multiple file formats (PDF, DOCX, XLSX) for different analysis types.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The sample size of 15 participants from a single university may limit generalizability.

Provenance

Source

figshare

Collection Method

Exploratory qualitative design based on semi-structured interviews.

Freshness

Last updated 2026-04-27 11:17:33; freshness should be verified.

Geography

Botswana