Student Judgments on AI Use in Programming Coursework Across Five Countries

195 university students from Botswana, Brazil, Canada, Indonesia, and South Korea judged the ethics of using generative AI in programming assignments. Their responses to eight scenario-based survey questions show systematic cross-country variation in academic integrity expectations. The dataset, authored by Irina Zlotnikova and last updated in May 2026, is available under a CC-BY-4.0 license.

Use Cases

• Analyze cross-cultural variation in ethical judgments based on the five-country comparative design.
• Model the influence of scenario features like amount of generated code on student perceptions.
• Compare student views on rule violations versus unethical actions based on the two survey question types.
• Study the relationship between institutional context and AI acceptance in introductory programming courses.

Strengths

• Data covers 195 student responses from five distinct cultural contexts.
• Survey design includes eight structured scenarios varying three key features.
• Findings are directly relevant to current debates on AI and academic integrity.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 2.3 MB size suggests a relatively small dataset.

Provenance

Source

figshare

Collection Method

Shared scenario-based survey administered to university students.

Freshness

Last updated 2026-05-22 11:20:10; freshness should be verified.

Geography

Botswana, Brazil, Canada, Indonesia, South Korea