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Muammer Maral – Journal of Academic Ethics, 2024
This research aimed to identify patterns, intellectual structure, contributions, social interactions, gaps, and future research directions in the field of academic integrity (AI). A bibliometric analysis was conducted with 1406 publications covering the period 1966-2023. The results indicate that there has been significant growth in AI literature…
Descriptors: Integrity, Educational History, Cheating, Plagiarism
Adrian Kirwan – Irish Educational Studies, 2024
Since its arrival in late 2022, ChatGPT has occupied the minds of academics, administrators and students. Reactions to the emergence of Large Language Models (LLMs) have varied but significant anxieties about their impact on assessment have arisen. To address these concerns, this article serves three purposes; firstly, it seeks to gauge the…
Descriptors: Integrity, Computational Linguistics, Artificial Intelligence, Technology Uses in Education
Kudzayi Savious Tarisayi – Cogent Education, 2024
As artificial intelligence proliferates, so do associated hopes and fears. This study explores such tensions within South African higher education following ChatGPT's launch, analyzing perceived threats alongside opportunities for responsibly harnessing benefits. Adopting a socio-technical framework recognizing technology's interdependence with…
Descriptors: Foreign Countries, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
E. Marano; P. M. Newton; Z. Birch; M. Croombs; C. Gilbert; M. J. Draper – Higher Education Quarterly, 2024
Remote or online proctoring (invigilating) is a technology primarily used to improve the integrity of online examinations. The use of remote proctoring increased significantly as the world switched to online assessment during the COVID-19 pandemic. Remote proctoring received negative media attention, including concerns about user privacy,…
Descriptors: Student Experience, Supervision, Distance Education, Technology Uses in Education
Integrity of Best-Answer Assignments in Large-Enrollment Classes: The Role of Compulsory Attribution
Kurt Schmitz; Veda C. Storey – Journal of Teaching and Learning with Technology, 2024
Many instructional methods that focus on analytical, skill, and competency development have a single or small set of appropriate answers. Best-answer assignments are popular for largeenrollment classes because of the relative ease with which scoring and feedback can be managed at scale. However, cheating is regularly confirmed at disturbingly high…
Descriptors: Large Group Instruction, Assignments, Integrity, Student Evaluation
Bieliauskaite, Jolanta – Journal of Academic Ethics, 2021
This paper provides the theoretical analysis of forms of solidarity in academia and its relationship to academic integrity. This analysis is inspired by the "Guidelines for an Institutional Code of Ethics in Higher Education" drawn up by the International Association of Universities and the Magna Charta Observatory. These Guidelines…
Descriptors: Interpersonal Relationship, Integrity, Ethics, Higher Education
Elkhatat, Ahmed M.; Elsaid, Khaled; Almeer, Saeed – International Journal for Educational Integrity, 2021
One of the main goals of assignments in the academic environment is to assess the students' knowledge and mastery of a specific topic, and it is crucial to ensure that the work is original and has been solely made by the students to assess their competence acquisition. Therefore, Text-Matching Software Products (TMSPs) are used by academic…
Descriptors: Plagiarism, Identification, Assignments, Computer Software
Colette Melissa Kell; Yasmeen Thandar; Adelle Kemlall Bhundoo; Firoza Haffejee; Bongiwe Mbhele; Jennifer Ducray – Journal of Applied Research in Higher Education, 2025
Purpose: Academic integrity is vital to the success and sustainability of the academic project and particularly critical in the training of ethical and informed health professionals. Yet studies have found that cheating in online exams was commonplace during the COVID-19 pandemic. With the increased use of online and blended learning…
Descriptors: Foreign Countries, Universities, Integrity, Cheating
West Virginia Department of Education, 2025
This guidance centers around the users of artificial intelligence (AI) in various roles throughout West Virginia PK-12 schools. It is designed to assist individuals such as superintendents, district staff, educators, and support staff in the appropriate and effective use of AI, particularly generative AI technologies, within West Virginia schools.…
Descriptors: Technology Uses in Education, Elementary Secondary Education, Artificial Intelligence, Man Machine Systems
Chaojin Wu – British Journal of Sociology of Education, 2025
Publishing is a critical avenue for scholars and a significant challenge for Chinese doctoral students. This study employs online ethnography to examine discussions on academic publishing anomie in the 'Graduated Group', including interviews with 10 doctoral students to explore the dynamics of academic misconduct. Under the high-pressure…
Descriptors: Publish or Perish Issue, Cheating, Risk Assessment, Doctoral Students
Olivier Leclerc – Research Evaluation, 2025
Detecting and punishing violations of research integrity requires first having to prove them. However, establishing proof of research misconduct presents a number of challenges. Firstly, it has to be conducted in a variety of contexts, including before research integrity officers, university disciplinary committees, civil courts, criminal courts,…
Descriptors: Cheating, Research, Identification, Integrity
Jennifer Jihae Park; Patricia Milner – TechTrends: Linking Research and Practice to Improve Learning, 2025
Despite continuous discussions on Generative Artificial Intelligence (Gen AI) ethics in academia, limited studies examine the perceptions of students or the application of ChatGPT with non-traditional students. We report an exploratory single case of a two-week orientation offered to non-traditional students entering online bachelor's degree…
Descriptors: Artificial Intelligence, Undergraduate Students, Nontraditional Students, Virtual Universities
Lindsay Mack; Avash Byanjankar – Journal of Academic Ethics, 2025
University students are increasingly utilizing generative artificial intelligence (GenAI) in higher education for various purposes, including generating writing tasks and translating texts. However, many academic integrity statements or student codes of conduct do not include GenAI. This article investigates the university policies towards GenAI…
Descriptors: Foreign Countries, Private Colleges, Higher Education, Artificial Intelligence
Silva Karkoulian; Niveen Sayegh; Nadeen Sayegh – Journal of Academic Ethics, 2025
The purpose of this research is to gain a complete understanding of how students and faculty in higher education perceive the role of AI tools, their impact on academic integrity, and their potential benefits and threats in the educational milieu, while taking into account ways to help curb its disadvantages. Drawing upon a qualitative approach,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Integrity
Brady D. Lund; Tae Hee Lee; Nishith Reddy Mannuru; Nikhila Arutla – Journal of Academic Ethics, 2025
The emergence of generative artificial intelligence tools, such as ChatGPT, presents new challenges impacting student perceptions of academic integrity. While extensive research exists on academic misconduct and student perceptions of various infractions, there is limited understanding of how AI tools impact these views and whether their use…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Student Attitudes

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