25%以上学生承认用AI代写编程作业，问卷比访谈更有效。
Assessing the Prevalence of AI-assisted Cheating in Programming Courses: A Pilot Study
- 通过匿名问卷调查估算AI作弊比例
- 120人课程中25%以上学生承认使用AI作弊
- 访谈参与率低，建议改用匿名问卷
能够根据自然语言输入生成代码的工具（如ChatGPT）对当前计算机科学教育构成生存性威胁，因学生可轻松借助这些工具完成作业。尽管学界已意识到该风险，但实际作弊比例仍不清楚。本研究在一所大型计算机课程（n=120）中开展试点，评估通过匿名问卷与访谈估算AI作弊率的可行性。超过25%的问卷受访者承认曾使用AI作弊，而仅有1名学生愿意接受访谈。鉴于高比例的违规自述，研究认为问卷是有效的研究方法，而访谈应避免或改进以提高参与度。
原文摘要 · Abstract (English)
Tools that can generate computer code in response to inputs written in natural language, such as ChatGPT, pose an existential threat to Computer Science education in its current form, since students can now use these tools to solve assignments without much effort. While that risk has already been recognized by scholars, the proportion of the student body that is incurring in this new kind of plagiarism is still an open problem. We conducted a pilot study in a large CS class (n=120) to assess the feasibility of estimating AI plagiarism through anonymous surveys and interviews. More than 25% of the survey respondents admitted to committing AI plagiarism. Conversely, only one student accepted to be interviewed. Given the high levels of misconduct acknowledgment, we conclude that surveys are an effective method for studies on the matter, while interviews should be avoided or designed in a way that can entice participation.
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