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Ziad M. Alkhazaleh; Amjed Abojedi – Journal of Academic Ethics, 2025
When students experience unfairness and normlessness in their academic environment, it exemplifies the concept of social anomie. where students may justify dishonest actions such as exam cheating, plagiarism, and others. Academic honesty, a crucial moral characteristic, fundamentally relies on values, rules, and social norms. Against this…
Descriptors: Deception, Cheating, Plagiarism, Ethics
Christina Armanyous; Josephine Paparo – Journal of Academic Ethics, 2025
Academic cheating is a pervasive issue in tertiary education, with implications for the competency of university graduates and their future ethical workplace behavior. Past research indicates that understanding academic cheating according to its different levels of severity allows for a more nuanced understanding of its aetiological factors, and…
Descriptors: Self Efficacy, Cheating, Intention, Metacognition
Predrag Oreški; Tanja Oreški; Ivana Ružic – Informatics in Education, 2025
This paper presents research findings on primary school students' awareness of the ethical aspects of using artificial intelligence (AI) tools for homework. The study used a self-constructed online questionnaire administered to 301 primary school students from grades five to eight attending two primary schools in Northwestern Croatia. The results…
Descriptors: Foreign Countries, Elementary School Students, Artificial Intelligence, Ethics
Christopher Mah; Ibrahim Adisa; Hillary Walker – Journal of Adolescent & Adult Literacy, 2025
Educators hold diverse beliefs and attitudes about generative artificial intelligence (AI). Irrespective of their stance, many acknowledge AI's growing influence and the pressing need for greater AI literacy. In this case study, we draw on Davis's (1989) technology acceptance model (TAM) to examine how two English teachers, Fiona and Margot,…
Descriptors: Artificial Intelligence, Literacy Education, English Teachers, Case Studies
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
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
Zhao, Li; Zheng, Yi; Zhao, Junbang; Li, Guoqiang; Compton, Brian J.; Zhang, Rui; Fang, Fang; Heyman, Gail D.; Lee, Kang – Child Development, 2023
Academic cheating is common, but little is known about its early emergence. It was examined among Chinese second to sixth graders (N = 2094; 53% boys, collected between 2018 and 2019) using a machine learning approach. Overall, 25.74% reported having cheated, which was predicted by the best machine learning algorithm (Random Forest) at a mean…
Descriptors: Cheating, Elementary School Students, Artificial Intelligence, Foreign Countries
Leon Katcharian – ProQuest LLC, 2023
Remotely proctored online examinations proliferate in academic and corporate learning environments (Grajek, 2020). Remote (virtual) proctoring allows organizations to efficiently offer tests globally while reducing the costs of proctored testing generally associated with traditional paper-and-pencil and computer-based testing center examinations.…
Descriptors: Computer Assisted Testing, Supervision, Distance Education, Information Security
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
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
Nodir Adilov; Jeffrey W. Cline; Hui Hanke; Kent Kauffman; Lisa Meneau; Elva Resendez; Shubham Singh; Mike Slaubaugh; Nichaya Suntornpithug – Journal of Education for Business, 2024
This article develops an index to measure the level of susceptibility of courses to cheating using ChatGPT (Chat Generative Pre-trained Transformer), an advanced text-based artificial intelligence (AI) language model. It demonstrates the application of the index to a sample of business courses in a mid-sized university. The study finds that the…
Descriptors: Artificial Intelligence, Cheating, Risk Assessment, Measurement
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
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
Xiao Pan Ding; Joey Kei Teng Cheng; Qiqi Cheng; Gail D. Heyman – Applied Developmental Science, 2024
Stories are widely used around the world to try to teach children moral lessons. However, it is often difficult for children to figure out how lessons from stories can be applied to real-life settings. In the present research, we tested whether encouraging children to be like the protagonists helps explain the success of positive moral stories…
Descriptors: Moral Values, Values Education, Story Telling, Ethics
Jonathan Hoseana; Andy Leonardo Louismono; Oriza Stepanus – International Journal of Mathematical Education in Science and Technology, 2025
We describe and evaluate a method to mitigate unwanted student collaborations in assessments, which we recently implemented in a second-year undergraduate mathematics module. The method requires a list of specific pairs of students to be prevented from collaborating, which we constructed based on the results of previous assessments. We converted…
Descriptors: Graphs, Color, College Mathematics, Undergraduate Students

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