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Eva Dias-Oliveira; Catarina Morais; Rita Pasion; Julia Hodgson – SAGE Open, 2024
The Fraud Diamond theory (rationalization, opportunity, motivation and perceived capability) has been widely used as a framework to explain criminal behavior. However, little is known about its application in an academic context. Research on the relationship between the prevalence of academic fraud (e.g., cheating on exams, plagiarizing essays)…
Descriptors: College Students, Student Behavior, Student Attitudes, Deception
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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
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Charles Freiberg – Educational Philosophy and Theory, 2024
The release of ChatGPT at the end of 2022 demonstrated to many educators that writing or, at least, the type of writing often asked of students had been automated. While this rightfully raised a host of practical concerns, mostly around cheating, it should also raise questions about what kind of intellectual life the liberal arts will open once…
Descriptors: Artificial Intelligence, Liberal Arts, Philosophy, Automation
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Hani Morgan – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2024
ChatGPT, a type of generative artificial intelligence, recently became the fastest-growing app of all time, with over 100 million users. The increasing use of this chatbot has led educators to fear that its use will cause various problems, including cheating. However, using ChatGPT can lead to desirable outcomes. Teachers can use this technology…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Technology Uses in Education
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Shashi Nallaya; Sheridan Gentili; Scott Weeks; Katherine Baldock – Issues in Educational Research, 2024
Various factors such as regulatory body mandates, graduate employability challenges, decreasing student engagement and increasing academic misconduct in higher education have motivated universities to explore alternative approaches to teach and assess. Accordingly, the oral assessment has taken precedence in many contexts as a popular form of…
Descriptors: Test Validity, Test Reliability, Cheating, Higher Education
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Chukwuemeka Ihekweazu; Bing Zhou; Elizabeth Adepeju Adelowo – Information Systems Education Journal, 2024
This study delves into the opportunities and challenges associated with the deployment of AI tools in the education sector. It systematically explores the potential benefits and risks inherent in utilizing these tools while specifically addressing the complexities of identifying and preventing academic dishonesty. Recognizing the ethical…
Descriptors: Ethics, Artificial Intelligence, Responsibility, Technology Uses in Education
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Tobias Haug; Franz Holzknecht; Wolfgang Mann – Language Education & Assessment, 2024
This study investigated through an online survey how sign language practitioners changed their sign language assessment practices during the COVID-19 pandemic. The survey consisted of five sections and 29 questions overall. It was provided in written English and German as well as in International Sign and was administered online between October…
Descriptors: Sign Language, COVID-19, Pandemics, Evaluation
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Edmund De Leon Evangelista – Contemporary Educational Technology, 2025
The rapid advancement of artificial intelligence (AI) technologies, particularly OpenAI's ChatGPT, has significantly impacted higher education institutions (HEIs), offering opportunities and challenges. While these tools enhance personalized learning and content generation, they threaten academic integrity, especially in assessment environments.…
Descriptors: Artificial Intelligence, Integrity, Educational Strategies, Natural Language Processing
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Zhao, Li; Zheng, Yi; Compton, Brian J.; Qin, Wen; Sun, Wenjin; Fang, Fang; Fu, Genyue; Heyman, Gail D.; Lee, Kang – Developmental Science, 2022
Cheating is a common human behavior but few studies have examined its emergence during early childhood. In three preregistered studies, a challenging math test was administered to 5- to 6-year-old children (total N = 500; 255 girls). An answer key was present as children completed the test, but they were instructed to not peek at it. In Study 1,…
Descriptors: Cheating, Physical Environment, Behavior Change, Ethics
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Chiang, Feng-Kuang; Zhu, Dan; Yu, Wenhao – Journal of Computer Assisted Learning, 2022
Background: During the COVID-19 pandemic, online learning has played an increasingly crucial role in the educational system. Academic dishonesty (AD) in online learning is a challenging problem that represents a complex psychological and social phenomenon for learners. However, there is a lack of comprehensive and systematic reviews of AD in…
Descriptors: Cheating, Research Reports, Intervention, COVID-19
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Dannhoferová, Jana; Foltýnek, Tomáš; Dlabolová, Dita; Fishman, Teddi – Journal on Efficiency and Responsibility in Education and Science, 2022
A dysfunctional educational system has been identified as one of the causes of academic dishonesty in the Eastern Europe. This paper describes a case study based on data collected at one Czech university (N = 660) and presents measures that have been taken at the institution after it. The case study combines quantitative self-reported data and…
Descriptors: Foreign Countries, Cheating, Student Characteristics, Discipline Policy
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Lee, Kyungmee; Fanguy, Mik – British Journal of Educational Technology, 2022
During the coronavirus disease-2019 (COVID-19) pandemic, many universities have adopted online exam proctoring technologies to monitor and control an increasing number of student cheating incidents. Although it looks like a natural and effective solution for a fair assessment of student online learning performance, the authors argue that…
Descriptors: Computer Assisted Testing, Supervision, Educational Innovation, Educational Change
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Yorke, Jonathan; Sefcik, Lesley; Veeran-Colton, Terisha – Studies in Higher Education, 2022
This study examines the emergent issue of blackmail and contract cheating through a scenario-based online exercise completed by 587 university students in Western Australia. Participants were presented with two consecutive scenarios, each involving a difficult assignment. The possibility of blackmail was introduced prior to (and within) the second…
Descriptors: Cheating, Contracts, Integrity, Risk
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Curtis, Guy J.; McNeill, Margot; Slade, Christine; Tremayne, Kell; Harper, Rowena; Rundle, Kiata; Greenaway, Ruth – Studies in Higher Education, 2022
The highest estimates of the prevalence of commercial contract cheating in Australia come from self-report surveys, which suggest that around 2% of students engage in commercial contract cheating during their higher education studies. However, self-report surveys are limited in that participants under-report socially-undesirable behaviours. In…
Descriptors: Measurement Techniques, Incidence, Cheating, Contracts
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Abood, Harith; Abu Maizer, Maha – International Journal of Technology in Education, 2022
This is a descriptive study to investigate one of the most critical issues faced by teachers in evaluating their students' performance at the university level during COVID-19. It aimed to specify the exams' problems faced by the Jordanian universities' teaching staff members, and the strategies they used to face cheating by their students in…
Descriptors: Cheating, Methods, Computer Assisted Testing, Electronic Learning
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