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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
Monica Gallant; Pranab Kumar Pani – Journal of Applied Research in Higher Education, 2024
Purpose: The aim of this paper is to explore the behavior pattern, perceptions, and motivations of students towards academic misconduct in a Business School with a view to mitigating its occurrence. Design/methodology/approach: The survey was conducted among a batch of undergraduate students who responded to various dimensions of plagiarism…
Descriptors: Foreign Countries, Undergraduate Students, Business Administration Education, Cheating
Flom, Jacalyn; Green, Karen; Wallace, Steven – Active Learning in Higher Education, 2023
Cheating in higher education has numerous negative implications, including degrading program reputations, inflating student retention rates, and cultivating poor ethical practices, all of which have implications for what students do in the workplace after graduation. Therefore, by understanding the current student population, Generation Z, it is…
Descriptors: Cheating, Ethics, Student Behavior, Age Groups
Hung Manh Nguyen; Daisaku Goto – Education and Information Technologies, 2024
The proliferation of artificial intelligence (AI) technology has brought both innovative opportunities and unprecedented challenges to the education sector. Although AI makes education more accessible and efficient, the intentional misuse of AI chatbots in facilitating academic cheating has become a growing concern. By using the indirect…
Descriptors: Academic Achievement, Cheating, Student Behavior, Artificial Intelligence
Kelley A. Packalen; Kate Rowbotham – International Journal for Educational Integrity, 2024
Using multivariate regression, we identified situational, personal and contextual variables correlated with business students' self-reported rates of academic misconduct. The most influential predictors of increasing academic misconduct were: higher estimates of peers' academic misconduct, increasingly negative perceptions of the program's…
Descriptors: Integrity, Cheating, Ethics, Plagiarism
Melvin Prince; Emma Wang – Journal of Further and Higher Education, 2024
Past studies of academic dishonesty typically have been grounded in the theory of planned behaviour. Key predictors of academic dishonesty variables under this framework generally have been attitudes towards academic dishonesty, the impact of peer pressure to engage in such acts, and individual perceptions of related acts. However, planned…
Descriptors: Integrity, Cheating, Ethics, Student Behavior
Rangkuti, Anna A.; Royanto, Lucia R. M.; Santoso, Guritnaningsih A. – Issues in Educational Research, 2022
Peer reporting, defined as a lateral control effort by reporting witnessed academic dishonesty, is one method used to foster academic integrity. However, most students refrain from reporting. This study portrays the process of peer reporting intention based on an ethical decision-making perspective in two types of academic dishonesty (exam…
Descriptors: Ethics, Cheating, Plagiarism, Student Behavior
Yovav Eshet; Keren Grinautsky; Pnina Steinberger – International Journal for Educational Integrity, 2024
Despite the growing interest in mindfulness in higher education, the literature on its relation to decision-making under risk (i.e. academic misconduct) and statistics anxiety is scarce. The present research shall fill this gap. Based on the prospect theory, we assessed the mediating effect of mindfulness on the relationship between statistics…
Descriptors: Ethics, Anxiety, Cheating, Integrity
Robert Louis DeFranco – ProQuest LLC, 2023
Academic dishonesty poses a challenge for the online and campus-based learning environment where technology and assessment at a distance may encourage easy and innovative ways of cheating. The purpose of this quantitative study was to assess campus-based and online students' attitudes and perceptions toward academic dishonesty. Data were collected…
Descriptors: Undergraduate Students, Student Attitudes, Ethics, Integrity
Josh Freeman – Higher Education Policy Institute, 2024
This new Policy Note by HEPI and Kortext explores students' attitudes to AI. Based on a poll of 1,250 students through UCAS, we build a picture of the way students use and view generative AI technologies like ChatGPT and Google Bard. We find that the use of generative AI has become normalised in higher education, but that universities have so far…
Descriptors: Undergraduate Students, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Timothy K. Daty – ProQuest LLC, 2022
Academic dishonesty among college students has been an enduring issue within higher education. While prior research has explored this issue, the recent global pandemic has shifted collegiate demographics dramatically, particularly within online courses. As a result, previous findings may prove less applicable, warranting new research into student…
Descriptors: Cheating, Ethics, Online Courses, Criminology
Waltzer, Talia; Dahl, Audun – Journal of Moral Education, 2021
As they navigate academic life, students must decide whether the acts of copying they encounter constitute plagiarism, and whether those acts are wrong. The present study investigated students' perceptions, evaluations, and reasoning about copying. In interviews about hypothetical scenarios involving copying, undergraduates (N = 60) reported…
Descriptors: Student Attitudes, Plagiarism, Ethics, Undergraduate Students
Benyo, Ahmed; Alkhaza'leh, Bilal Ayed; Kumar, Tribhuwan – World Journal on Educational Technology: Current Issues, 2022
This study aims to emphasize students' views on using unfair means in e-learning programmes in English at undergraduate level. The research examines further how they trick, why they trick, and possible approaches to decrease this unfair practice. This investigation was carried out after the second half of 2020 when the whole world was witnessing…
Descriptors: Undergraduate Students, Electronic Learning, English (Second Language), Second Language Learning
DiPaulo, Donald – International Journal for Educational Integrity, 2022
Research has found that academic dishonesty (AD) is common among college and university undergraduate students worldwide (International Center for Academic Integrity, 2021). Two variables found to have a significant effect on student cheating were students' attitudes toward AD and perceptions of peer engagement in AD (McCabe et al., 2012). This…
Descriptors: Cheating, Undergraduate Students, Ethics, Student Attitudes
Dirk H. R. Spennemann; Jessica Biles; Lachlan Brown; Matthew F. Ireland; Laura Longmore; Clare L. Singh; Anthony Wallis; Catherine Ward – Interactive Technology and Smart Education, 2024
Purpose: The use of generative artificial intelligence (genAi) language models such as ChatGPT to write assignment text is well established. This paper aims to assess to what extent genAi can be used to obtain guidance on how to avoid detection when commissioning and submitting contract-written assignments and how workable the offered solutions…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Cheating