Cheating 2.0: A reprofiling of the 10 most wanted test cheaters in the digital age.

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Title: Cheating 2.0: A reprofiling of the 10 most wanted test cheaters in the digital age.
Authors: Sturrock, Alison M. (AUTHOR), Myers, Gil (AUTHOR), Rees, Eliot L. (AUTHOR)
Source: Medical Education. Jan2026, Vol. 60 Issue 1, p14-18. 5p.
Subjects: Generative artificial intelligence, Plagiarism, Rating of students, Student cheating, Educational tests & measurements, Medical students, Motivation (Psychology)
Abstract: In the last issue of Medical Education Unleashed, Royal et al (2016) introduced the "Ten Most Wanted" test cheaters. Almost a decade later, significant changes in assessment format and delivery have altered the landscape of academic dishonesty. This paper revisits the original 10 cheaters, updates their statuses and identifies new contenders. Cheating remains a pervasive issue in medical education, exacerbated by the shift to online assessments during the COVID‐19 pandemic. In medical education, cheating threatens assessment validity, patient safety and institutional reputation, and may correlate with future unprofessional behaviour. The motivations behind cheating are multifaceted. We use the 'fraud triangle' of motivation, opportunity and rationalisation as a framework to conceptualise some of these. This paper profiles the evolution of cheating methods, highlighting new digital‐age strategies. An approach which combines authentic assessments, technological integration and promotion of academic integrity is essential to combat this enduring issue. Here we go again ... as digital technologies continue to expand and pressure on students remain high, it's time for a new look at cheating behaviours #MedEducUnleashed [ABSTRACT FROM AUTHOR]
Copyright of Medical Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: <searchLink fieldCode="JN" term="%22Medical+Education%22">Medical Education</searchLink>. Jan2026, Vol. 60 Issue 1, p14-18. 5p.
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  Data: <searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Plagiarism%22">Plagiarism</searchLink><br /><searchLink fieldCode="DE" term="%22Rating+of+students%22">Rating of students</searchLink><br /><searchLink fieldCode="DE" term="%22Student+cheating%22">Student cheating</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+tests+%26+measurements%22">Educational tests & measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+students%22">Medical students</searchLink><br /><searchLink fieldCode="DE" term="%22Motivation+%28Psychology%29%22">Motivation (Psychology)</searchLink>
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  Data: In the last issue of Medical Education Unleashed, Royal et al (2016) introduced the "Ten Most Wanted" test cheaters. Almost a decade later, significant changes in assessment format and delivery have altered the landscape of academic dishonesty. This paper revisits the original 10 cheaters, updates their statuses and identifies new contenders. Cheating remains a pervasive issue in medical education, exacerbated by the shift to online assessments during the COVID‐19 pandemic. In medical education, cheating threatens assessment validity, patient safety and institutional reputation, and may correlate with future unprofessional behaviour. The motivations behind cheating are multifaceted. We use the 'fraud triangle' of motivation, opportunity and rationalisation as a framework to conceptualise some of these. This paper profiles the evolution of cheating methods, highlighting new digital‐age strategies. An approach which combines authentic assessments, technological integration and promotion of academic integrity is essential to combat this enduring issue. Here we go again ... as digital technologies continue to expand and pressure on students remain high, it's time for a new look at cheating behaviours #MedEducUnleashed [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Medical Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1111/medu.15682
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      – Code: eng
        Text: English
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      – SubjectFull: Generative artificial intelligence
        Type: general
      – SubjectFull: Plagiarism
        Type: general
      – SubjectFull: Rating of students
        Type: general
      – SubjectFull: Student cheating
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      – SubjectFull: Educational tests & measurements
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      – SubjectFull: Medical students
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      – SubjectFull: Motivation (Psychology)
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              Text: Jan2026
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              Y: 2026
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