Detecting Source Code Plagiarism in Student Assignment Submissions Using Clustering Techniques
In pragmatic courses, graduate students are required to submit programming assignments, which have been susceptible to various forms of plagiarism. Detecting counterfeited code in an academic setting is of paramount importance, given the prevalence of publications and papers. Plagiarism, defined as...
Saved in:
Main Authors: | Raddam Sami Mehsen, Majharoddin M. Kazi, Hiren Joshi |
---|---|
Format: | Article |
Language: | English |
Published: |
middle technical university
2024-06-01
|
Series: | Journal of Techniques |
Subjects: | |
Online Access: | https://journal.mtu.edu.iq/index.php/MTU/article/view/1851 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ethics and AI-Plagiarism in an Academic Environment: Students’ Understanding of Compliance with Author’s Ethics and the Problem of Plagiarism in the Process of Interaction with Generative Artificial Intelligence
by: P. V. Sysoyev
Published: (2024-03-01) -
The significance of computer technologies in detecting plagiarism in scientific works
by: O. V. Pikhurets
Published: (2023-07-01) -
Plagiarism and Authorship Credit
by: Albina Arjuman, et al.
Published: (2024-04-01) -
STUDENTS' PERCEPTION OF PLAGIARISM: CASE STUDY OF ACADEMIC INTEGRITY FORMATION
by: Olena H. Kuzminska, et al.
Published: (2023-09-01) -
Plagiarism, Self-Efficacy, and Academic Procrastination on University Students
by: Baidi Bukhori, et al.
Published: (2019-12-01)