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Cecilia Ka Yuk Chan – Education and Information Technologies, 2025
This novel study explores "AI-giarism," an emergent form of academic dishonesty involving AI and plagiarism, within the higher education context. The objective of this study is to investigate students' perception of adopting generative AI for research and study purposes, and their understanding of traditional plagiarism and their…
Descriptors: Higher Education, College Students, Artificial Intelligence, Plagiarism
Nicholas R. Werse; Joshua Caleb Smith – Impacting Education: Journal on Transforming Professional Practice, 2025
In this article, the authors explore the concerns surrounding academic dishonesty related to generative artificial intelligence (GAI). The authors argue that while there are valid worries about students using GAI in ways the displace student work, these anxieties are not new and have been observed with previous disruptive technologies such as the…
Descriptors: Cheating, Artificial Intelligence, Anxiety, Teacher Role
R. Harrad; R. Keasley; L. Jefferies – Higher Education Research and Development, 2024
Academic misconduct and academic integrity are issues of importance to Higher Education Institutions (HEIs). Phraseologies and practices may conflate unintentional mistakes with attempts to gain illegitimate advantage, with some groups potentially at higher risk. HEIs across the United Kingdom (UK) responded to a Freedom of Information Act (FOI)…
Descriptors: Integrity, Cheating, College Students, Student Characteristics
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
Kristina M. Brimer – ProQuest LLC, 2023
The study aimed to explore whether cultural dimensions [horizontal individualism (H-I), vertical individualism (V-I), horizontal collectivism (H-C), and vertical collectivism (V-C)] and gender identity predict academic dishonesty tendencies (cheating, copying, collusion) in higher education learners. Using a quantitative approach, participants…
Descriptors: Higher Education, Sexual Identity, Predictor Variables, Cheating
Nazkhanova, Galiya; Khan, Natalya; Moldazhanova, Asemqul; Abdullayeva, Gulzira; Abdrakhmanova, Roza – International Journal of Learning and Change, 2023
Modern transformation processes in higher education alongside with positive effects have a negative impact on the higher education system in the Russian Federation. The purpose of the article is to find the main ways to overcome corruption in the system of Russian higher education. Russian society is developing in a legalised falsification of…
Descriptors: Foreign Countries, Higher Education, Deception, Social Problems
Timothy M. Daly; James C. Ryan – International Journal for Educational Integrity, 2024
This paper presents the first systematic investigation into the search engine optimization practices of major contract cheating websites in the United States. From a business perspective, visibility in organic search engine results is considered one of the top client recruitment tools. The current understanding of student recruitment strategies by…
Descriptors: Search Engines, Contracts, Cheating, Web Sites
Scott E. Allen; René F. Kizilcec – Higher Education: The International Journal of Higher Education Research, 2024
Scientific and technological advancements over the last three decades have failed to reduce the widespread prevalence of academic dishonesty in higher education, in large part because institutional barriers prevent faculty from adopting existing tools to curb cheating. We conducted a systematic literature review of research on cheating and found…
Descriptors: Integrity, College Faculty, Barriers, Educational Change
Shengnan Han; Shahrokh Nikou; Workneh Yilma Ayele – International Journal of Educational Management, 2024
Purpose: To improve the academic integrity of online examinations, digital proctoring systems have recently been implemented in higher education institutions (HEIs). The paper aims to understand how digital proctoring has been practised in higher education (HE) and proposes future research directions for studying digital proctoring in HE.…
Descriptors: Computer Assisted Testing, Supervision, Higher Education, Cheating
Ali Zeb; Rafid Ullah; Rehmat Karim – International Journal of Information and Learning Technology, 2024
Purpose: This paper aims to examine the opportunities and challenges of using ChatGPT in higher education. Furthermore, it is also discuss the potential risks and plunders of these tools. Design/methodology/approach: The paper discuss the use of artificial intelligence (AI) in academia and explores the opportunities and challenges of using ChatGPT…
Descriptors: Artificial Intelligence, Higher Education, Technology Uses in Education, Barriers
Bob Ives; Ana-Maria Cazan – Higher Education: The International Journal of Higher Education Research, 2024
The shift to online instruction in higher education related to the COVID-19 pandemic has raised worldwide concerns about an increase in academic misconduct (cheating and plagiarism). However, data to document any increase is sparse. For this study, we collected survey data from 484 students in 11 universities in the USA, and 410 students in five…
Descriptors: COVID-19, Pandemics, Cheating, Plagiarism
Alin, Pauli; Arendt, Anne; Gurell, Seth – Assessment & Evaluation in Higher Education, 2023
As higher education is shifting to virtual teaching, examinations are increasingly conducted virtually, often proctored. Unfortunately, virtual proctored examinations--proctored remotely using technologies--can be prone to cheating. Some anti-cheating measures can be built into the virtual proctoring technologies, but cheating can still occur.…
Descriptors: Higher Education, Virtual Classrooms, Tests, Supervision
David R. Firth; Adam Gonzales; Michelle Louch; Bryan Hammer – Information Systems Education Journal, 2025
ChatGPT is having an impact on students, and information systems (IS) and computing academic professionals alike. Our goal for this paper is to help faculty and students know the conditions in which generative AI such as ChatGPT should or should not be used. To that end, we describe the development of a 2x2 matrix. On the horizontal axis we have…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Information Systems
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
Philip M. Newton; Keioni Essex – Journal of Academic Ethics, 2024
Academic misconduct is a threat to the validity and reliability of online examinations, and media reports suggest that misconduct spiked dramatically in higher education during the emergency shift to online exams caused by the COVID-19 pandemic. This study reviewed survey research to determine how common it is for university students to admit…
Descriptors: Cheating, Tests, Electronic Learning, COVID-19