Ayub, Mewati and Karnalim, Oscar and Wijanto, Maresha Caroline and Risal, Laurentius (2021) Initial Suspicion on Detecting Code Plagiarism and Collusion in Academia: Case Study of Algorithm and Data Structure Courses. Journal of Information Technology and Computer Science, 6 (1). pp. 9-17. ISSN 2540-9824
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Abstract
In engineering education, some assignments require the students to submit program code, and since that code might be a result of plagiarism or collusion, a similarity detection tool is often used to filter excessively similar programs. To improve the scalability of such a tool, it is suggested to initially suspect some programs and only compare those programs to others (instead of exhaustively compare all programs to one another). This paper compares the ef-fectiveness of two common techniques to raise such initial suspicion: focusing on the submissions of smart students (as they are likely to be copied), or the submissions of slow-paced students (since those students are likely to breach academic integrity to get higher assignment mark). Our study shows that the latter statistically outperforms the former by 13% in terms of precision; slow-paced students are likely to be the perpetrators, but they fail to get the submissions of smart students.
| Item Type: | Article |
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| Uncontrolled Keywords: | students, SPS, perpetrators, precision |
| Subjects: | T Technology > T Technology (General) |
| Depositing User: | Perpustakaan Maranatha |
| Date Deposited: | 26 Oct 2021 22:36 |
| Last Modified: | 26 Oct 2021 22:36 |
| URI: | http://repository.maranatha.edu/id/eprint/27996 |
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