research-article

Plagiarism in Programming Assessments: A Systematic Review

Author:

Ibrahim AlbluwiAuthors Info & Claims

ACM Transactions on Computing Education (TOCE), Volume 20, Issue 1

Article No.: 6, Pages 1 - 28

https://doi.org/10.1145/3371156

Published: 09 December 2019 Publication History

Abstract

This article is a systematic review of work in the computing education literature on plagiarism. The goal of the review is to summarize the main results found in the literature and highlight areas that need further work. Despite the the large body of work on plagiarism, no systematic reviews have been published so far.

The reviewed papers were categorized and analyzed using a theoretical framework from the field of Fraud Deterrence named the Fraud Triangle. According to this framework, fraudulent behavior occurs when the person is under pressure, perceives the availability of an opportunity to commit fraud, and rationalizes the fraudulent behavior in a way that makes it seem not unethical to him or her.

The review found the largest amount of the reviewed papers to discuss ways for reducing the opportunity to plagiarize, as well as tools for detecting plagiarism. However, there is a clear lack of empirical work evaluating the deterrent efficacy of these strategies and tools. The reviewed papers also included mentions of a wide range of rationalizations used by computing students when justifying plagiarism, the most important of which are rationalizations that stem from confusion about what constitutes plagiarism. Finally, work on the relationship between pressure in computing courses and plagiarism was found to be very scarce and incommensurate with the significant contribution of this factor to plagiarism.

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Cited By

Denzler BVahid FPang ASalloum MMonga MLonati VBarendsen ESheard JPaterson J(2024)Style Anomalies Can Suggest Cheating in CS1 ProgramsProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653626(381-387)Online publication date: 3-Jul-2024
https://dl.acm.org/doi/10.1145/3649217.3653626
Parthasarathy PKapoor IJoshi SThomas S(2024)Influence of Personality Traits on Plagiarism Through Collusion in Programming AssignmentsProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 110.1145/3632620.3671121(143-153)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3632620.3671121
Sheard JDenny PHellas ALeinonen JMalmi LSimon Stephenson BStone JBattestilli LRebelsky SShoop L(2024)Instructor Perceptions of AI Code Generation Tools - A Multi-Institutional Interview StudyProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630880(1223-1229)Online publication date: 7-Mar-2024
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Index Terms

Plagiarism in Programming Assessments: A Systematic Review
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
        CS1
      2. Student assessment

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cover image ACM Transactions on Computing Education

ACM Transactions on Computing Education Volume 20, Issue 1

March 2020

210 pages

EISSN:1946-6226

DOI:10.1145/3363561

Editor:
Chris Hundhausen
Washington State University, USA

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Published: 09 December 2019

Accepted: 01 October 2019

Revised: 01 October 2019

Received: 01 May 2019

Published in TOCE Volume 20, Issue 1

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Denzler BVahid FPang ASalloum MMonga MLonati VBarendsen ESheard JPaterson J(2024)Style Anomalies Can Suggest Cheating in CS1 ProgramsProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653626(381-387)Online publication date: 3-Jul-2024
https://dl.acm.org/doi/10.1145/3649217.3653626
Parthasarathy PKapoor IJoshi SThomas S(2024)Influence of Personality Traits on Plagiarism Through Collusion in Programming AssignmentsProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 110.1145/3632620.3671121(143-153)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3632620.3671121
Sheard JDenny PHellas ALeinonen JMalmi LSimon Stephenson BStone JBattestilli LRebelsky SShoop L(2024)Instructor Perceptions of AI Code Generation Tools - A Multi-Institutional Interview StudyProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630880(1223-1229)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630880
Hoq MShi YLeinonen JBabalola DLynch CPrice TAkram BStephenson BStone JBattestilli LRebelsky SShoop L(2024)Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning ModelsProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630826(526-532)Online publication date: 7-Mar-2024
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Takahashi K(2024)A Support Tool for Instructors to Better Understand How Students Work on Assignments in Small Classes2024 12th International Conference on Information and Education Technology (ICIET)10.1109/ICIET60671.2024.10542769(494-500)Online publication date: 18-Mar-2024
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He FFanaian MZhang NLea XGeale SGielis LRazaghi KEvans A(2024)Academic dishonesty in university nursing students: A scoping reviewInternational Journal of Nursing Studies10.1016/j.ijnurstu.2024.104752154(104752)Online publication date: Jul-2024
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Li YChen HLiu XWang S(2024)Content Specialists’ Anti-Plagiarism Pedagogical Interventions: A Thematic ReviewJournal of Academic Ethics10.1007/s10805-024-09589-6Online publication date: 28-Dec-2024
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Maral M(2024)A Bibliometric Analysis on Academic IntegrityJournal of Academic Ethics10.1007/s10805-024-09519-622:4(665-687)Online publication date: 4-Mar-2024
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Karnalim O(2024)Identifying AI Generated Code with Parallel KNN Weight Outlier DetectionAdvanced Technologies and the University of the Future10.1007/978-3-031-71530-3_29(459-470)Online publication date: 17-Dec-2024
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