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Christophe O. Soulage; Fabien Van Coppenolle; Fitsum Guebre-Egziabher – Advances in Physiology Education, 2024
Artificial intelligence (AI) has gained massive interest with the public release of the conversational AI "ChatGPT," but it also has become a matter of concern for academia as it can easily be misused. We performed a quantitative evaluation of the performance of ChatGPT on a medical physiology university examination. Forty-one answers…
Descriptors: Medical Students, Medical Education, Artificial Intelligence, Computer Software
Suraj Ajit; Aparna Maikkara; Wendy Ramku – Cogent Education, 2024
The advent of remote learning and the over-representation of international students in contract cheating literature have contributed to the beliefs that a digital pathway to higher education necessitates academic malpractice, and that this phenomenon is more prevalent among non-native students. This study seeks to contribute to the existing…
Descriptors: Foreign Countries, Foreign Students, Contract Training, Contracts
Orok, Edidiong; Adeniyi, Funmilayo; Williams, Tonfamoworio; Dosunmu, Oyebode; Ikpe, Favour; Orakwe, Clifford; Kukoyi, Olasumbo – International Journal for Educational Integrity, 2023
This study aimed to assess the knowledge, perception, influencing factors as well as suggested strategies to reduce academic dishonesty among healthcare students. A cross-sectional design that employed a self-administered online questionnaire was used to collect data among healthcare students in Afe Babalola University, Ado-Ekiti, Nigeria.…
Descriptors: Foreign Countries, Health Services, Health Occupations, College Students
Yovav Eshet; Pnina Steinberger; Keren Grinautsky – International Association for Development of the Information Society, 2023
The present study deals with the mediation of statistics anxiety and motivation in the relationship comprising academic dishonesty, personality traits, and previous academic achievements in three different learning environments (Face to Face -- F2F, Planned Online Environment -- POE, and Emergency Remote Teaching -- ERT). Self-determination theory…
Descriptors: Cheating, Academic Failure, Statistics Education, Test Anxiety
Chirikov, Igor; Shmeleva, Evgeniia; Loyalka, Prashant – Studies in Higher Education, 2020
University faculty are frequently tasked with promoting academic honesty among students. However, there is little reliable evidence about whether faculty actions can prevent academic dishonesty. The purpose of this study is to examine whether more severe punishments from faculty can reduce academic dishonesty among students. We analyze nationally…
Descriptors: Teacher Role, College Faculty, Cheating, Ethics
Mensah, Christopher; Azila-Gbettor, Edem M. – International Journal of Educational Management, 2018
Purpose: Academic misconduct has become an albatross on the management of higher education institutions with long-term ramification on developmental agenda of countries. The purpose of this paper is to examine the association between religiousness of students and examination cheating tendencies. Further, this paper explored the cheating methods,…
Descriptors: Foreign Countries, Religion, Religious Factors, Cheating
Amua-Sekyi, Ekua Tekyiwa – Journal of Education and Practice, 2016
The study explored student-teachers' views on cheating during examinations. A mixed method approach which involved a survey and focus group interviews was employed. Nine hundred undergraduate education students from a public university and three colleges of education in Ghana were surveyed. Focus group interviews were held with six students from…
Descriptors: Student Attitudes, Preservice Teachers, Mixed Methods Research, Focus Groups
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis