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Rick Somers; Sam Cunningham; Sarah Dart; Sheona Thomson; Caslon Chua; Edmund Pickering – IEEE Transactions on Learning Technologies, 2024
Academic misconduct stemming from file-sharing websites is an increasingly prevalent challenge in tertiary education, including information technology and engineering disciplines. Current plagiarism detection methods (e.g., text matching) are largely ineffective for combatting misconduct in programming and mathematics-based assessments. For these…
Descriptors: Assignments, Automation, Identification, Technology Uses in Education
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Xu, Yujun; Li, Wenlong – Journal of Academic Ethics, 2023
This paper provides a systematic and critical review of the existing literature on the phenomenon of 'commercial contract cheating' (CCC). Unlike some existing systematic reviews generally on CCC, this paper focuses on the potential causes and suggested preventative measures specifically, intending to develop effective interventions on the basis…
Descriptors: Prevention, Cheating, Contracts, Outsourcing
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Grochowalski, Joseph H.; Hendrickson, Amy – Journal of Educational Measurement, 2023
Test takers wishing to gain an unfair advantage often share answers with other test takers, either sharing all answers (a full key) or some (a partial key). Detecting key sharing during a tight testing window requires an efficient, easily interpretable, and rich form of analysis that is descriptive and inferential. We introduce a detection method…
Descriptors: Identification, Cooperative Learning, Cheating, Statistical Analysis
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Oravec, Jo Ann – Journal of Interactive Learning Research, 2023
Cheating is a growing academic and ethical concern in higher education. The technological "arms race" that involves cheating-detection system developers versus technology-savvy students is attracting increased attention to cheating issues; it is also generating iterations of technological innovations as corporations, higher educational…
Descriptors: Artificial Intelligence, Cheating, Educational Technology, Ethics
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Bor Luen Tang – Research Ethics, 2024
Scientific research is supposed to acquire or generate knowledge, but such a purpose would be severely undermined by instances of research misconduct (RM) and questionable research practices (QRP). RM and QRP are often framed in terms of moral transgressions by individuals (bad apples) whose aberrant acts could be made conducive by shortcomings in…
Descriptors: Scientific Research, Ethics, Integrity, Cheating
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James Stacey Taylor – Journal of Academic Ethics, 2024
I argue that wrong of plagiarism does not primarily stem from the plagiarist's illicit misappropriation of academic credit from the person she plagiarized. Instead, plagiarism is wrongful to the degree to which it runs counter to the purpose of academic work. Given that this is to increase knowledge and further understanding plagiarism will be…
Descriptors: Plagiarism, Cheating, Citations (References), Primary Sources
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Bailey, John – Education Next, 2023
This article reports on the release of AI tools that can generate text, images, music, and video with no need for complicated coding but simply in response to instructions given in natural language. AI is also raising pressing ethical questions around bias, appropriate use, and plagiarism. In the realm of education, this technology will influence…
Descriptors: Artificial Intelligence, Technology Uses in Education, Barriers, Affordances
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Smith, Karin; Grugan, Amy; Ott, Michelle Nielsen; Borton, Rachel; Reed, Sokonie – Distance Learning, 2023
As the demand for distance education continues to rise, so does the number of online graduate nursing programs. Although distance education has expanded access to advanced nursing education, the level of academic preparedness for the rigors of graduate education may be a challenge for many graduate nursing students. One approach to support student…
Descriptors: Educational Practices, Integrity, Cheating, Graduate Students
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Veronika Krásnican; Inga Gaižauskaite; William Bülow; Dita Henek Dlabolova; Sonja Bjelobaba – Journal of Academic Ethics, 2024
Given the prevalence of misconduct in research and among students in higher education, there is a need to create solutions for how best to prevent such behaviour in academia. This paper proceeds on the assumption that one way forward is to prepare students in higher education at an early stage and to encourage a smoother transition from academic…
Descriptors: Integrity, Ethics, Student Behavior, Supervision
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Jo-ann Larkins; Katherine Seaton – Assessment & Evaluation in Higher Education, 2024
That the manifestation of cheating varies between disciplines is rarely discussed, an unspoken assumption being that assessment takes the form of written prose supported by a bibliography. Students and academics from disciplines, such as mathematics, not fitting this model can feel that their work is regarded as an aberration. 'Plagiarism' is not…
Descriptors: Cheating, Mathematics Instruction, Intellectual Disciplines, Plagiarism
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Putra, Idhamsyah Eka; Jazilah, Nur Inda; Adishesa, Made Syanesti; Al Uyun, Dhia; Wiratraman, Herlambang Perdana – Higher Education: The International Journal of Higher Education Research, 2023
In academia, plagiarism is considered detrimental to the advancement of sciences, and the plagiarists can be charged with sanctions. However, the plagiarism cases involving three rectors of universities in Indonesia stand out, as they could defend their stand for not committing academic misconduct despite evidence found. By analyzing the three…
Descriptors: Plagiarism, Power Structure, Discourse Analysis, Foreign Countries
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Cullen, Courtney S. – Journal of College and Character, 2022
Academic integrity policies and processes vary from institution to institution and between countries. The last 30 years has seen increased attention on policies that provide a process focused on educating students and reintegrating those who cheat into their institutions rather than punitive and permanent sanctions, such as expulsion.
Descriptors: Integrity, Cheating, Educational Experience, Punishment
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Blasius, Jörg; Thiessen, Victor – Sociological Methods & Research, 2021
Identifying illicit behavior in survey research is inherently problematic, since self-reports are untrustworthy. We argue that fraudulent interviewers can, however, be identified through statistical deviance of the distributional parameters of their interviews. We document that a high proportion of the variation in the data is due to the…
Descriptors: Surveys, Interviews, Deception, Cheating
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Matthew Landers – Higher Education for the Future, 2025
This article presents a brief overview of the state-of-the-art in large language models (LLMs) like ChatGPT and discusses the difficulties that these technologies create for educators with regard to assessment. Making use of the 'arms race' metaphor, this article argues that there are no simple solutions to the 'AI problem'. Rather, this author…
Descriptors: Ethics, Cheating, Plagiarism, Artificial Intelligence
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Debby R. E. Cotton; Peter A. Cotton; J. Reuben Shipway – Innovations in Education and Teaching International, 2024
The use of artificial intelligence in academia is a hot topic in the education field. ChatGPT is an AI tool that offers a range of benefits, including increased student engagement, collaboration, and accessibility. However, is also raises concerns regarding academic honesty and plagiarism. This paper examines the opportunities and challenges of…
Descriptors: Integrity, Cheating, Artificial Intelligence, Man Machine Systems
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