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Inappropriate Benefits and Identification of ChatGPT Misuse in Programming Tests: A Controlled Experiment

Toba, Hapnes, Karnalim, Oscar, Johan, Meliana Christianti, Tada, Terutoshi, Djajalaksana, Yenni Merlin, Vivaldy, Tristan

arXiv.org Artificial Intelligence

While ChatGPT may help students to learn to program, it can be misused to do plagiarism, a breach of academic integrity. Students can ask ChatGPT to complete a programming task, generating a solution from other people's work without proper acknowledgment of the source(s). To help address this new kind of plagiarism, we performed a controlled experiment measuring the inappropriate benefits of using ChatGPT in terms of completion time and programming performance. We also reported how to manually identify programs aided with ChatGPT (via student behavior while using ChatGPT) and student perspective of ChatGPT (via a survey). Seventeen students participated in the experiment. They were asked to complete two programming tests. They were divided into two groups per the test: one group should complete the test without help while the other group should complete it with ChatGPT. Our study shows that students with ChatGPT complete programming tests two times faster than those without ChatGPT, though their programming performance is comparable. The generated code is highly efficient and uses complex data structures like lists and dictionaries. Based on the survey results, ChatGPT is recommended to be used as an assistant to complete programming tasks and other general assignments. ChatGPT will be beneficial as a reference as other search engines do. Logical and critical thinking are needed to validate the result presented by ChatGPT.


Could AI be used to cheat on programming tests?

#artificialintelligence

Check out all the on-demand sessions from the Intelligent Security Summit here. Plagiarism isn't limited to essays. Programming plagiarism -- where a developer copies code deliberately without attribution -- is an increasing trend. According to a New York Times article, at Brown University, more than half of the 49 allegations of academic code violations in 2016 involved cheating in computer science. At Stanford, as many as 20% of the students in a single 2015 computer science course were flagged for possible cheating, the same piece reports.