ICL 2024 | Similarities of Human and AI Assistance in Programming Plagiarism: Student Perspective

In the era of Generative AI, plagiarism has become more concerning. Let's explore how students treat AI assistance with human assistance in that context!

The material has been presented at an international conference and published in the proceedings.

DOI: https://doi.org/10.1007/978-3-031-835...
Title: Similarities of Human and AI Assistance in Programming Plagiarism: Student Perspective
Conference: 2024 International Conference on Interactive Collaborative Learning, Hybrid from Tallinn, Estonia

Authors:
Oscar Karnalim
Maranatha Christian University, Indonesia

Abstract:
Generative artificial intelligence (AI) heavily disrupts engineering education. While it can promote better learning experiences, it can be misused for plagiarism. There are a number of studies promoting the benefits of generative AI but not many of them are focused on how to mitigate the potential misuses, especially in programming. To employ better policies in plagiarism and AI usage for programming, the study compares student perspectives about eleven conventional plagiarism scenarios to AI-assisted plagiarism scenarios. The study invites 87 programming students (CS1, introductory programming and CS2, data structure) as respondents while 66 of them accept the invitation. Respondents see AI assistance comparable to that of a colleague in the context of programming plagiarism. General policies of programming plagiarism can be easily expanded to cover AI-assisted plagiarism. CS1 students think that asking AI to fix troublesome code is more unacceptable than asking a colleague. CS2 students think subscribing to AI service to write the code is less unacceptable than paying a colleague to do so. CS2 students have better awareness of plagiarism in discussing how to approach a task and discussing code.