A systematic review of research on cheating in online exams from 2010 to 2021
Open accessAbstract
In recent years, online learning has received more attention than ever before. One of the most challenging aspects of online education is the students' assessment since academic integrity could be violated due to various cheating behaviors in online examinations. Although a considerable number of literature reviews exist about online learning, there is no such review study to provide comprehensive insight into cheating motivations, cheating types, cheating detection, and cheating prevention in the online setting. The current study is a review of 58 publications about online cheating, published from January 2010 to February 2021. We present the categorization of the research and show topic trends in the field of online exam cheating. The study can be a valuable reference for educators and researchers working in the field of online learning to obtain a comprehensive view of cheating mitigation, detection, and prevention.
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Cheating on written assignments has amplified by tailored online services.
“Cheating on written assignments has also amplified by tailored online services (Noorbehbahani1 et al., 2022; Yazici et al., 2022)”
From Using version control to document genuine effort in written assignments: a protocol with examples for universities (2023) · cites this paper as Noorbehbahani et al., 2022
The Results sections on cheating detection and cheating types describe written work produced by someone else for a student and contract workers supplying answers. They do not say that tailored online services have amplified cheating on written assignments; the discussion is primarily about online exams. (LLM, conf=0.82)
Experimental — accuracy not yet measured
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Percentages, sums and reported differences re-computed from the paper’s own numbers.
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- Authors
- Noorbehbahani, F., Mohammadi, A., & Aminazadeh, M.
- Affiliations
- University of Isfahan (IR)
- Corresponding author
- Noorbehbahani, Fakhroddin
- Venue
- Education and Information Technologies
- Published
- 2022-03-07
- Volume
- 27
- Issue
- 6
- Pages
- 8413-8460
- ISSN
- 1360-2357 (ISSN-L)
- 1573-7608
- PMC
- PMC8898996
- OpenAlex
- W4220695000
- Cited by
- 236
- References
- 65
- Citations by year
- 2026: 42 · 2025: 47 · 2024: 66 · 2023: 61 · 2022: 20
- FWCI
- 9.25
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Education and Information Technologies (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Physical Sciences › Mathematics › Statistics and Probability › Benford’s Law and Fraud Detection
- Keywords
- academic integrity, online learning, cheating detection, cheating prevention, student assessment
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