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Gallant, Tricia Bertram; Brownstone, Steven; Minnes, Mia – Change: The Magazine of Higher Learning, 2022
Three decades of concentrated research on the topic of cheating in college has shown that there is no magic bullet to stopping or reducing cheating. The goal of this study was to exam the potential of nudges other than integrity pledges to incentivize, encourage, or entice students to be honest, even when it is easy and advantageous to be…
Descriptors: Prompting, Cheating, Student Attitudes, Student Behavior
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Adkins, Keith L.; Joyner, David A. – Journal of Computer Assisted Learning, 2022
Background: Plagiarism is a very serious offence in academic institutions. Yet there is some reluctance to address plagiarism by educators as its enforcement can require a significant time commitment if not handled wisely. Handling plagiarism at scale has the potential to exacerbate this problem. Objectives: This article explores the challenges…
Descriptors: Plagiarism, Large Group Instruction, Online Courses, Computer Science Education
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Ahsan, Kamrul; Akbar, Suraiyah; Kam, Booi – Assessment & Evaluation in Higher Education, 2022
Contract cheating is an increasingly challenging problem facing the higher education sector. This study assesses the current state of contract cheating research from various methodological and empirical perspectives. Through a systematic literature review of 51 peer-reviewed articles on contract cheating in higher education, we identify clusters…
Descriptors: Cheating, College Students, Literature Reviews, Integrity
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Griffiths, Barry J. – Research on Education and Media, 2022
This pilot study looks at how the author proactively sought to mitigate the issue of cheating when giving online tests during the Spring 2021 semester, at a time when the COVID-19 pandemic forced many teachers around the world to use modalities that involved distance learning. The genesis, implementation and results of the strategy used during the…
Descriptors: Computer Assisted Testing, Supervision, Cheating, Educational Technology
Carl Crowe – ProQuest LLC, 2022
Academically dishonest behavior, or cheating, has been a continued problem in post-secondary institutions. Research has been varied in terms of understanding the root causes of academically dishonest behaviors and has offered ways in which to mitigate the behaviors by educating students and holding them accountable to institutional expectations.…
Descriptors: Predictor Variables, Cheating, Student Behavior, Behavior Theories
Justine A. L. Burnett – ProQuest LLC, 2022
Academic misconduct on college campuses is not a new challenge for higher education institutions but an old problem that has changed considerably. Student demonstrations of academic misconduct behaviors have evolved, making it difficult for institutions to consistently keep well-informed on how students cheat to effectively respond to violations…
Descriptors: Cheating, Decision Making, Higher Education, Student Behavior
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Phillip Dawson; Margaret Bearman; Mollie Dollinger; David Boud – Assessment & Evaluation in Higher Education, 2024
Cheating attracts a significant amount of attention in conversations about assessment, and with good reason: if students cheat, we cannot be sure they have met the learning outcomes of their course. In this conceptual article we question the attention given to cheating as a concept and argue that the broader concept of validity is a more important…
Descriptors: Cheating, Ethics, Inclusion, Test Validity
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Kelley A. Packalen; Kate Rowbotham – International Journal for Educational Integrity, 2024
Using multivariate regression, we identified situational, personal and contextual variables correlated with business students' self-reported rates of academic misconduct. The most influential predictors of increasing academic misconduct were: higher estimates of peers' academic misconduct, increasingly negative perceptions of the program's…
Descriptors: Integrity, Cheating, Ethics, Plagiarism
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Roya Rahimi; Jenni Jones; Carol Bailey – Ethics and Education, 2024
Contract cheating is a challenging problem facing higher and further education providers (HE and FE) worldwide. In the UK, contract cheating has been identified as a growing problem by the HEA and, more recently, the Quality Assurance Agency for Higher Education and the Department for Education. The high rate of contact cheating among students…
Descriptors: Foreign Countries, Higher Education, Cheating, Contracts
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Jasper Roe; Mike Perkins; Gi Kunchana Chonu; Abhishek Bhati – Higher Education Research and Development, 2024
In this article we report on a study of higher education students' (N = 256) perceptions on the willingness, pressure, and frequency of their peers to cheat in online assessments at an Australian university in Singapore during the COVID-19 induced Online Teaching and Assessment period (COTA). MANOVA was used to identify the differences in…
Descriptors: Student Attitudes, Cheating, COVID-19, Pandemics
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Thuy Nhu Thi Nguyen; Nam Van Lai; Quyet Thi Nguyen – Educational Process: International Journal, 2024
Background/purpose: The integration of ChatGPT at Ho Chi Minh City University of Technology and Education (HCMUTE) aims to transform teaching and learning dynamics. This research evaluates ChatGPT's impact on student learning behaviors, exploring its potential to enhance educational outcomes while addressing ethical concerns. Materials/methods: A…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
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Melvin Prince; Emma Wang – Journal of Further and Higher Education, 2024
Past studies of academic dishonesty typically have been grounded in the theory of planned behaviour. Key predictors of academic dishonesty variables under this framework generally have been attitudes towards academic dishonesty, the impact of peer pressure to engage in such acts, and individual perceptions of related acts. However, planned…
Descriptors: Integrity, Cheating, Ethics, Student Behavior
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David R. Firth; Mason Derendinger; Jason Triche – Information Systems Education Journal, 2024
In this paper we describe a framework for teaching students when they should, or should not use generative AI such as ChatGPT. Generative AI has created a fundamental shift in how students can complete their class assignments, and other tasks such as building resumes and creating cover letters, and we believe it is imperative that we teach…
Descriptors: Cheating, Artificial Intelligence, Man Machine Systems, Natural Language Processing
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Mike Perkins; Jasper Roe – Higher Education Policy, 2024
This study presents a corpus analysis of academic integrity policies from Higher Education Institutions (HEIs) worldwide, exploring how they address the issues posed by technological threats, such as Automated Paraphrasing Tools and generative-artificial intelligence tools, such as ChatGPT. The analysis of 142 policies conducted in November and…
Descriptors: Educational Policy, Decoding (Reading), Integrity, Artificial Intelligence
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Xinqu Zhang; Peng Wang – Research Ethics, 2025
Unethical research practices are prevalent in China, but little research has focused on the causes of these practices. Drawing on the criminology literature on organisational deviance, as well as the concept of "cengceng jiama," which illustrates the increase of pressure in the process of policy implementation within a top-down…
Descriptors: Research Problems, Ethics, Productivity, Universities
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