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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
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
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
Mike Perkins; Jasper Roe; Binh H. Vu; Darius Postma; Don Hickerson; James McGaughran; Huy Q. Khuat – International Journal of Educational Technology in Higher Education, 2024
This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these detectors to assess their reliability in identifying AI-generated text in educational settings, where they are increasingly used to address academic integrity…
Descriptors: Artificial Intelligence, Inclusion, Computer Software, Word Processing
Sarah Moore; Kathryn Lookadoo – Business and Professional Communication Quarterly, 2024
This article presents the ongoing conversation about generative AI guidance and policy in higher education. The article examines syllabus policies, including analyzing sentiment, emotion, and common themes in GenAI policies. Findings show that policies should be audience-focused, clearly written, and grounded in strategies to promote ethical AI…
Descriptors: Artificial Intelligence, Educational Policy, Course Descriptions, Audience Awareness
Juuso Henrik Nieminen; Sarah Elaine Eaton – Assessment & Evaluation in Higher Education, 2024
Assessment accommodations are used globally in higher education systems to ensure that students with disabilities can participate fairly in assessment. Even though assessment accommodations are supposed to promote access, not success, they are commonly portrayed as potentially being "cheating" in that they provide certain students with…
Descriptors: Foreign Countries, Higher Education, Testing Accommodations, Academic Accommodations (Disabilities)
Ibrahim Adeshola; Adeola Praise Adepoju – Interactive Learning Environments, 2024
The launch of OpenAI ChatGPT's language-generation model has raised alarms within many sectors, especially the academic sector. Several academicians have urged universities to develop new forms of assessment after the launch of ChatGPT, which solves academic questions in less than a few minutes. Academic cheating is not a new phenomenon, and the…
Descriptors: Opportunities, Barriers, Artificial Intelligence, Natural Language Processing
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
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
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