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Alexia Kesta; Philip M. Newton – International Journal for Educational Integrity, 2025
Modafinil is a prescription-only drug in most countries. It is mainly used to treat narcolepsy and sleep disorders, but it is also used, without a prescription, as a cognitive enhancer by [approximately 10% of UK University students. Previous research has focused on the prevalence of, and motivations for, these behaviours. Here we focused…
Descriptors: Drug Use, College Students, Student Attitudes, Cheating
Abigail Marie Warner – ProQuest LLC, 2024
The purpose of this quantitative study is to identify the extent of the differences in the frequency and severity of academic misconduct reporting before and after the COVID-19 pandemic at a particular higher education institution in the southwestern United States. The number of case files were tallied for each of the nine semesters preceding the…
Descriptors: Integrity, Ethics, COVID-19, Pandemics
Jinshui Wang; Shuguang Chen; Zhengyi Tang; Pengchen Lin; Yupeng Wang – Education and Information Technologies, 2025
Mastering SQL programming skills is fundamental in computer science education, and Online Judging Systems (OJS) play a critical role in automatically assessing SQL codes, improving the accuracy and efficiency of evaluations. However, these systems are vulnerable to manipulation by students who can submit "cheating codes" that pass the…
Descriptors: Programming, Computer Science Education, Cheating, Computer Assisted Testing
Andrés Mejía; Maria Fernanda Garcés-Flórez – International Journal for Educational Integrity, 2025
This paper examines the concept of "academic integrity." Drawing on Calhoun's social perspective of integrity and on MacIntyre's goods-based view of practice, we propose to understand acting with academic integrity as standing before others and with others, firmly but non-dogmatically, to protect the integrity of academic practice and,…
Descriptors: Integrity, Compliance (Psychology), Behavior, Cheating
Zahrotush Sholikhah; Wiwiek Rabiatul Adawiyah; Bambang Agus Pramuka; Eka Pariyanti – Journal of International Education in Business, 2024
Purpose: Although the academic literature provides extensive insight into the motivations for the unethical use of information technology in online classes, little is known about how perceived justice, the opportunity to cheat and spiritual legitimacy mitigate unethical behavior among young academics. The purposes of this study are two folds:…
Descriptors: Cheating, Electronic Learning, Student Behavior, Religious Factors
Rick Somers; Sam Cunningham; Sarah Dart; Sheona Thomson; Caslon Chua; Edmund Pickering – IEEE Transactions on Learning Technologies, 2024
Academic misconduct stemming from file-sharing websites is an increasingly prevalent challenge in tertiary education, including information technology and engineering disciplines. Current plagiarism detection methods (e.g., text matching) are largely ineffective for combatting misconduct in programming and mathematics-based assessments. For these…
Descriptors: Assignments, Automation, Identification, Technology Uses in Education
Giora Alexandron; Aviram Berg; Jose A. Ruiperez-Valiente – IEEE Transactions on Learning Technologies, 2024
This article presents a general-purpose method for detecting cheating in online courses, which combines anomaly detection and supervised machine learning. Using features that are rooted in psychometrics and learning analytics literature, and capture anomalies in learner behavior and response patterns, we demonstrate that a classifier that is…
Descriptors: Cheating, Identification, Online Courses, Artificial Intelligence
Katy Dineen; Loretta Goff – Assessment & Evaluation in Higher Education, 2024
While the integrity of academic work has always been vitally important, since the establishment of the International Center for Academic Integrity in 1992 increasing attention has been paid to the area. The term academic integrity now explicitly appears in policy and in job titles or offices tasked with either detection, training, or both.…
Descriptors: Integrity, Ethics, Intellectual Development, Moral Values
R. Harrad; R. Keasley; L. Jefferies – Higher Education Research and Development, 2024
Academic misconduct and academic integrity are issues of importance to Higher Education Institutions (HEIs). Phraseologies and practices may conflate unintentional mistakes with attempts to gain illegitimate advantage, with some groups potentially at higher risk. HEIs across the United Kingdom (UK) responded to a Freedom of Information Act (FOI)…
Descriptors: Integrity, Cheating, College Students, Student Characteristics
Fatma Basalan Iz; Rahime Aslankoç; Günferah Sahin – Journal of Academic Ethics, 2024
Cheating in higher education is a significant problem. The study aims to determine nursing students' attitudes and opinions toward cheating in exams. The type of research is descriptive. The research data were collected in the classroom environment of 716 students in day and evening education programs. The research data were collected using…
Descriptors: Nursing Education, Student Attitudes, Cheating, Evening Programs
Ebru Balta; Celal Deha Dogan – SAGE Open, 2024
As computer-based testing becomes more prevalent, the attention paid to response time (RT) in assessment practice and psychometric research correspondingly increases. This study explores the rate of Type I error in detecting preknowledge cheating behaviors, the power of the Kullback-Leibler (KL) divergence measure, and the L person fit statistic…
Descriptors: Cheating, Accuracy, Reaction Time, Computer Assisted Testing
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