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Chang, Shun-Chuan; Chang, Keng Lun – Educational Measurement: Issues and Practice, 2023
Machine learning has evolved and expanded as an interdisciplinary research method for educational sciences. However, cheating detection of test collusion among multiple examinees or sets of examinees with unusual answer patterns using machine learning techniques has remained relatively unexplored. This study investigates collusion on…
Descriptors: Cheating, Identification, Artificial Intelligence, Cooperation
Riesthuis, Paul; Otgaar, Henry; Hope, Lorraine; Mangiulli, Ivan – Applied Cognitive Psychology, 2022
In the current experiment, we examined the effects of self-generated deceptive behavior on memory. Participants (n = 230) were randomly assigned to a "strong-incentive to cheat" or "weak-incentive to cheat" condition and played the adapted Sequential Dyadic Die-Rolling paradigm. Participants in the "strong-incentive to…
Descriptors: Incentives, Deception, Memory, Cheating
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
Riesthuis, Paul; Otgaar, Henry; Hope, Lorraine; Mangiulli, Ivan – Applied Cognitive Psychology, 2021
The proposed experiment will examine the effect of deceptive behavior on memory. Participants will be assigned to a "strong-incentive to cheat" or "weak-incentive to cheat" condition and play the adapted Sequential Dyadic Die-Rolling paradigm. Specifically, Player A (computer; participants think it is another participant)…
Descriptors: Incentives, Deception, Cheating, Memory
Timothy M. Daly; James C. Ryan – International Journal for Educational Integrity, 2024
This paper presents the first systematic investigation into the search engine optimization practices of major contract cheating websites in the United States. From a business perspective, visibility in organic search engine results is considered one of the top client recruitment tools. The current understanding of student recruitment strategies by…
Descriptors: Search Engines, Contracts, Cheating, Web Sites
Owan, Valentine J.; Chuktu, Onyinye; Dijeh, Ann E.; Zaafour, Abderrazak; Ukah, Julius U.; Chukwurah, Magaret U.; Ube, Denis A.; Asuquo, Michael E.; Uwase, Esuong U.; Udida, Udida J.; Ojong, Cyprian O. – Turkish Online Journal of Distance Education, 2023
This study examined the degree to which students indulge in six prominent misconducts in Distance Education Institutions (DEIs). The study also quantified how class size, instructional delivery and institutional policies predict students' indulgence in sharp practices using a general linear modelling approach. A sample of 871 participants was…
Descriptors: Distance Education, Foreign Countries, Cheating, Student Behavior
Miloš Boškovic – Center for Educational Policy Studies Journal, 2023
This paper argues that legislative intervention rather than deontological rules could be an adequate tool to address academic integrity concerns, particularly in civil law jurisdictions, which is the case in the majority of European countries. The recently enacted Montenegrin law on academic integrity offers a promising foundation for developing…
Descriptors: Integrity, Cheating, Educational Legislation, Laws
Khan, Zeenath Reza – International Journal for Educational Integrity, 2022
When considering a paradigm shift in higher education, it is imperative to focus on removing obstacles against maintaining integrity in academia. One such obstacle is contract cheating sites that have mushroomed disproportionately during the 18 months of emergency distance learning threatening graduate quality and university reputations (McKie,…
Descriptors: Foreign Countries, Cheating, Web Sites, Identification
Renuka Sharma; Kiran Mehta; Vishal Vyas – Journal of Education for Business, 2024
The propensity to cheat is intrinsic to every kind of education or training that requires effort and commitment. Academic dishonesty is a significant issue among secondary and postsecondary students worldwide. The majority of students have been involved in at least one kind of academic dishonesty in the preceding academic year. The fraud triangle…
Descriptors: Ethics, Cheating, Business Administration Education, Integrity
Levin, Nathan; Baker, Ryan S.; Nasiar, Nidhi; Fancsali, Stephen; Hutt, Stephen – International Educational Data Mining Society, 2022
Research into "gaming the system" behavior in intelligent tutoring systems (ITS) has been around for almost two decades, and detection has been developed for many ITSs. Machine learning models can detect this behavior in both real-time and in historical data. However, intelligent tutoring system designs often change over time, in terms…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Cheating
Agwu, Prince; Odii, Aloysius; Orjiakor, Tochukwu; Roy, Pallavi; Nzeadibe, Chidi; Onalu, Chinyere; Okoye, Uzoma Odera; Onwujekwe, Obinna – Quality Assurance in Education: An International Perspective, 2022
Purpose: The purpose of this study is to describe the nature and operations of schools commonly regarded as "Miracle Examination Centres (MECs)" in Nigeria, through the lens of stakeholders in education. This study also assessed stakeholders' perspectives on the possible solutions to the problem of MECs. Design/methodology/approach: The…
Descriptors: Foreign Countries, Educational Malpractice, Cheating, Stakeholders
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
Evans, Angela D.; Dykstra, Victoria W.; Bruer, Kaila; Price, Heather L. – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2021
Lies to benefit the collective are common in adult contexts; however, less is known about children's willingness to lie for the collective. The present study examined 7- to 11-year-old children's tendency to lie to conceal a group transgression. Children (N = 408) participated in a competition in small groups during which the group leaders…
Descriptors: Children, Preadolescents, Deception, Child Behavior
Johnson, Clare; Davies, Ross; Reddy, Mike – International Journal for Educational Integrity, 2022
Academic misconduct in all its various forms is a challenge for degree-granting institutions. Whilst text-based plagiarism can be detected using tools such as Turnitin™, Plagscan™ and Urkund™ (amongst others), contract cheating and collusion can be more difficult to detect, and even harder to prove, often falling to no more than a 'balance of…
Descriptors: Student Behavior, College Students, Plagiarism, Cheating
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