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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
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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
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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
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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
Maley, Bridget – ProQuest LLC, 2019
Academic misconduct is a growing national and global concern. There is a paucity of literature on academic misconduct in nursing. Among the research studies that have been conducted, all but one were quantitative. The purpose of this study is to gain a deeper understanding of Associate Degree (AD) nursing students' experiences with academic…
Descriptors: Nursing Education, Associate Degrees, Two Year College Students, Nursing Students
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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
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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
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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
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Vogel, Glen M. – Journal of Instructional Pedagogies, 2013
More than 690,000 foreign students studied in the United States during the 2009-10 academic year. As non-native English-speaking students continue to pour into American educational institutions, one question many educators have is: are these international students adequately prepared for the language and cultural demands they will face when they…
Descriptors: Business Administration Education, College Faculty, English (Second Language), Second Language Learning
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Yadin, Aharon; Or-Bach, Rachel – Journal of Information Systems Education, 2010
In this paper we describe an instructional tactic of individually assigned homework that promotes and strengthens individual learning processes. We claim that current emphasis on the benefits of collaborative learning belittles the importance of individual learning processes and reduces the opportunities to require and assess individual learning…
Descriptors: Homework, Research Tools, Dropout Rate, Learning Processes
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Jaeger, Audrey J.; Thornton, Courtney H. – Journal of Cases in Educational Leadership, 2007
A basketball player at a National Collegiate Athletic Association Division I and religiously affiliated school cheats in a course and receives an "F." Under the school's academic policy, a failing grade for academic dishonesty should not be expunged from the student's record, but the university's president approves a grade change for the star…
Descriptors: Ethics, Cheating, Integrity, Athletes
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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