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Daumiller, Martin; Janke, Stefan – AERA Open, 2019
We investigated how evaluation standards employed in performance tests affect the impact of performance goals (here focused on appearance) on academic cheating. Thereby, we assumed that appearance goals would lead to increased cheating only if students' performance was presumably evaluated based on results rather than on the strategies they…
Descriptors: Cheating, Ethics, Evaluation Methods, Goal Orientation
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Clare, Joseph; Walker, Sonia; Hobson, Julia – International Journal for Educational Integrity, 2017
Objectives: Building on what is known about the non-random nature of crime problems and the explanatory capacity of opportunity theories of crime, this study explores the utility of using existing university administrative data to detect unusual patterns of performance consistent with a student having engaged in contract cheating (paying a…
Descriptors: Crime, Student Records, Student Behavior, Performance
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Miller, Angela D.; Murdock, Tamera B.; Grotewiel, Morgan M. – Theory Into Practice, 2017
Although research shows that higher-achieving students report engaging in cheating behaviors less frequently than lower-achieving students, the cheating rates among this population are still startling. Certain aspects of the context of being a high-achieving student support academic dishonesty. We investigate integrity among the highest achievers…
Descriptors: Cheating, Ethics, High Achievement, Student Behavior
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Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating