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Pokorny, Annika; Ballen, Cissy J.; Drake, Abby Grace; Driessen, Emily P.; Fagbodun, Sheritta; Gibbens, Brian; Henning, Jeremiah A.; McCoy, Sophie J.; Thompson, Seth K.; Willis, Charles G.; Lane, A. Kelly – International Journal for Educational Integrity, 2023
Efforts to discourage academic misconduct in online learning environments frequently include the use of remote proctoring services. While these services are relatively commonplace in undergraduate science courses, there are open questions about students' remote assessment environments and their concerns related to remote proctoring services. Using…
Descriptors: Undergraduate Students, Student Attitudes, Cheating, Educational Technology
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Sayeed Naqibullah Orfan – Cogent Education, 2023
The study investigated lecturers' perceptions of student incivility in higher education of Afghanistan. It examined students' behaviors that lecturers considered uncivil as well as causes and consequences of students' uncivil behaviors. It also explored strategies lecturers used to address student incivility and to what extent they rated the…
Descriptors: Foreign Countries, Teacher Attitudes, College Faculty, College Students
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Ferguson, Corrine D.; Toye, Margaret A.; Eaton, Sarah Elaine – Journal of Academic Ethics, 2023
This article presents results from a self-report survey of misconduct behaviours and the stress students (n = 916) experienced at one Canadian community college. Results showed that students engaged in a variety of contract cheating behaviours, and experienced a myriad of stressors both in and outside the college context, including traumatic life…
Descriptors: Community College Students, Foreign Countries, Cheating, Student Behavior
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Debby R. E. Cotton; Peter A. Cotton; J. Reuben Shipway – Innovations in Education and Teaching International, 2024
The use of artificial intelligence in academia is a hot topic in the education field. ChatGPT is an AI tool that offers a range of benefits, including increased student engagement, collaboration, and accessibility. However, is also raises concerns regarding academic honesty and plagiarism. This paper examines the opportunities and challenges of…
Descriptors: Integrity, Cheating, Artificial Intelligence, Man Machine Systems
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David A. Rettinger; Holly Tatum; Andrew H. Perry; Courtney Cullen; Jason M. Stephens; Tricia Bertram Gallant; Darragh McNally; Melissa L. McTernan; Eric M. Anderman – International Journal for Educational Integrity, 2024
Academic misconduct remains a perennial concern in tertiary education around the globe. Research intended to explain this phenomenon has been conducted for almost 100 years. One of the most cited researchers is Donald McCabe, whose work was rooted in a survey instrument he developed in the late 1980s and distributed to 100,000 + students over the…
Descriptors: Cheating, Higher Education, Test Validity, Educational Environment
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Niklas Humble; Jonas Boustedt; Hanna Holmgren; Goran Milutinovic; Stefan Seipel; Ann-Sofie Östberg – Electronic Journal of e-Learning, 2024
Artificial Intelligence (AI) and related technologies have a long history of being used in education for motivating learners and enhancing learning. However, there have also been critiques for a too uncritical and naïve implementation of AI in education (AIED) and the potential misuse of the technology. With the release of the virtual assistant…
Descriptors: Cheating, Artificial Intelligence, Technology Uses in Education, Computer Science Education
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Wan Ping Ng; Khong Yun Pang; Pei Boon Ooi; Chia Wei Phan – Journal of Academic Ethics, 2024
In this study, the levels of knowledge, awareness, and acceptance of research misconduct were investigated among the Pharmacy academics and students in Malaysia. A cross-sectional study using an online questionnaire was carried out. A total of 393 pharmacy academics and students in Malaysia were involved. Perceived research misconduct, as defined…
Descriptors: Foreign Countries, College Students, College Faculty, Pharmacy
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Kristina F. Brezicha; Kara M. Kavanagh; Anne E. Martin; Teresa R. Fisher-Ari – Urban Education, 2024
Accountability-era reforms have promulgated a discourse of crisis and a looming threat for public schools. While these threats negatively affect all, this paper focuses on how schools' responses to these threats shape novice Teach for America Corp Members' (CM) socialization. By analyzing nearly 6,000 daily reflections from 38 CMs about their…
Descriptors: Accountability, Public Schools, Teacher Recruitment, Alternative Teacher Certification
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Anupama Prashar; Parul Gupta; Yogesh K. Dwivedi – Studies in Higher Education, 2024
Widespread academic dishonesty among higher education (HE) students has been a concern for higher education institutes (HEIs). Ethics literature reports that unintentional plagiarism is more prevalent among HE students and the root cause is, limited or no awareness of nuances of ethics concerning plagiarism resulting in poor ethical judgments.…
Descriptors: Ethics, Cheating, Plagiarism, Student Attitudes
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Gerd Kortemeyer; Wolfgang Bauer – Physical Review Physics Education Research, 2024
As a result of the pandemic, many physics courses moved online. Alongside, the popularity of Internet-based problem-solving sites and forums rose. With the emergence of large language models, another shift occurred. One year into the public availability of these models, how has online help-seeking behavior among introductory physics students…
Descriptors: Web Sites, Cheating, Artificial Intelligence, Electronic Learning
Vonda H. Morris – ProQuest LLC, 2024
High-achieving teenage students (HATS) take Advanced Placement (AP) courses to fulfill two goals: boost their grade point average (GPA) and maintain or increase their class rank. To assist in accomplishing these goals, HATS access social media (SM) and technology. Smart devices, laptops, and tablets provide easy access for HATS to build social…
Descriptors: High Achievement, Adolescents, Secondary School Students, Social Media
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Cui, Zhongmin – Educational and Psychological Measurement, 2020
In test security analyses, answer copying, collusion, and the use of a shared brain dump site can be detected by checking similarity between item response strings. The similarity, however, can possibly be contaminated by aberrant data resulted from careless responding or rapid guessing. For example, some test-takers may answer by repeating a…
Descriptors: Repetition, Cheating, Response Style (Tests), Pattern Recognition
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Tamás Keller; Hubert János Kiss – Journal of Early Adolescence, 2025
A growing body of experimental literature investigates how student-level background characteristics are associated with dishonest behavior in early adolescence. However, results from prior studies are mixed. To revisit earlier findings, we conducted a comprehensive literature review and executed two consecutive, large-scale, incentivized surveys…
Descriptors: Foreign Countries, Literature Reviews, Student Surveys, Elementary School Students
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Arif Nugroho; Erna Andriyanti; Pratomo Widodo; Ira Mutiaraningrum – Innovations in Education and Teaching International, 2025
This study aims to explore the students' experience with ChatGPT in providing scaffolding for writing essays. It also discloses students' appraisals of utilising ChatGPT. Drawing upon data from semi-structured interviews, this study involved 12 students learning English as a Foreign Language who utilised ChatGPT in academic writing classes. The…
Descriptors: Writing (Composition), Artificial Intelligence, Synchronous Communication, Computer Software
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Olufemi Timothy Adigun – European Journal of Education, 2025
This study examined the determinant factors of examination malpractice intentions (EMI) among pre-service deaf students in a Nigerian teacher training college. Four (4) research questions were raised and answered in the study. Data were collected from 265 pre-service deaf teachers using a closed-ended questionnaire. Data generated were analysed…
Descriptors: Preservice Teachers, Special Education Teachers, Deafness, Educational Malpractice
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