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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
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
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
Zhao, Li; Li, Yingying; Sun, Wenjin; Zheng, Yi; Harris, Paul L. – Developmental Science, 2023
There is extensive research on the development of cheating in early childhood but research on how to reduce it is rare. The present preregistered study examined whether telling young children about a story character's emotional reactions towards cheating could significantly reduce their tendency to cheat (N = 400; 199 boys; Age: 3-6 years).…
Descriptors: Psychological Patterns, Ethics, Cheating, Incidence
Bailey, John – Education Next, 2023
This article reports on the release of AI tools that can generate text, images, music, and video with no need for complicated coding but simply in response to instructions given in natural language. AI is also raising pressing ethical questions around bias, appropriate use, and plagiarism. In the realm of education, this technology will influence…
Descriptors: Artificial Intelligence, Technology Uses in Education, Barriers, Affordances
Farida Agus Setiawati; Tria Widyastuti; Kartika Nur Fathiyah; Tiara Shafa Nabila – European Journal of Psychology and Educational Research, 2024
Data obtained through questionnaires sometimes respond to the items presented by social norms, so sometimes they do not suit themselves. High social desirability (SD) in non-cognitive measurements will cause item bias. Several ways are used to reduce item bias, including freeing respondents from not writing their names or being anonymous,…
Descriptors: Social Desirability, Test Bias, Self Concept, Undergraduate Students
Som Nath Ghimire; Upaj Bhattarai; Raj K. Baral – Journal of Academic Ethics, 2024
The problem of academic dishonesty in general and exam cheating in particular, has been ubiquitous in schools, colleges, and universities around the world. This paper reports on the findings from teachers' and students' experiences and perceptions of exam cheating at Nepali schools, colleges, and universities. In so doing, the paper highlights the…
Descriptors: Ethics, Cheating, Foreign Countries, College Students
Jason M. Stephens; Kate Absolum; Lee A. Adam; Chelsea J. Blickem; Katherine E. Gilliver-Brown; Deirdre E. Hart; John Kelly; Wendy Olsen; Neil Ulrich – New Zealand Journal of Educational Studies, 2024
As elsewhere in the world, academic misconduct is a serious problem in Aotearoa. Yet, beyond the occasional newspaper headline, we know relatively little about the extent of the problem here or the factors associated with it. Consequently, our educational leaders and practitioners are left under-informed as they seek to address the problem and…
Descriptors: Foreign Countries, Undergraduate Students, Cheating, Student Behavior
Zopluoglu, Cengiz; Kasli, Murat; Toton, Sarah L. – Educational Measurement: Issues and Practice, 2021
Response time information has recently attracted significant attention in the literature as it may provide meaningful information about item preknowledge. The methods that use response time information to identify examinees with potential item preknowledge make an implicit assumption that the examinees with item preknowledge differ in their…
Descriptors: Reaction Time, Cheating, Test Items
Mike Perkins; Jasper Roe; Darius Postma; James McGaughran; Don Hickerson – Journal of Academic Ethics, 2024
This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI's ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors…
Descriptors: Artificial Intelligence, Student Evaluation, Identification, Natural Language Processing
Kershnee Sevnarayan; Kgabo Bridget Maphoto – Journal of Academic Ethics, 2024
This study investigated cheating behaviours, contributing factors, and strategies to enhance the integrity of assessment in an online learning context. The researchers conducted an analysis of the literature on students' motivation to cheat in online modules and noted that there is limited research on the specific reasons why students cheat in…
Descriptors: Foreign Countries, Cheating, Distance Education, Motivation
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

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