Student Reasoning on Generative AI Non-Use in Swedish Higher Education

An exploratory mixed-methods study examines biomedical laboratory science students in Sweden who deliberately chose not to use generative AI tools during a take-home examination. The data combines descriptive survey results from 46 students with in-depth qualitative interviews with two non-users, conducted by Annica Lindkvist and last updated in April 2026. The study identifies ethical considerations, perceptions of learning depth, and assessment design as key factors shaping non-use.

Use Cases

• Analyzing student ethical reasoning about AI use based on qualitative interview themes.
• Studying the impact of assessment formats (like viva voce) on AI tool engagement based on the described study design.
• Investigating the relationship between AI non-use, learning perceptions, and academic performance based on the reported pass rate findings.

Strengths

• Provides qualitative insights from in-depth interviews with a specific student cohort.
• Focuses on a timely and understudied topic: deliberate non-use of generative AI in authentic educational settings.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• The dataset is very small (20.8 KB), suggesting limited quantitative scope.
• Row count and column-level documentation are absent; data structure must be inferred after download.
• The sample is specific to biomedical laboratory science students in Sweden, which may limit generalizability.

Provenance

Source

Annica Lindkvist via figshare.

Collection Method

Mixed-methods design combining descriptive survey data and semi-structured qualitative interviews.

Time Range

Study period not specified; data reflects conditions contemporary to the research.

Freshness

Last updated 2026-04 23 04:21:17.

Geography

Sweden (specifically, a higher education institution for biomedical laboratory science).