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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
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
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