Date
Publisher
arXiv
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.
What is the application?
Who is the user?
Who age?
Why use AI?
Study design
