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Yang Zhen; Xiaoyan Zhu – Educational and Psychological Measurement, 2024
The pervasive issue of cheating in educational tests has emerged as a paramount concern within the realm of education, prompting scholars to explore diverse methodologies for identifying potential transgressors. While machine learning models have been extensively investigated for this purpose, the untapped potential of TabNet, an intricate deep…
Descriptors: Artificial Intelligence, Models, Cheating, Identification
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Ben Oliver D. Tutor; Emerson R. Rico – Journal of Academic Ethics, 2026
The integration of technology into education, though beneficial, has also raised concerns about academic dishonesty. Digital tools and platforms provide new opportunities for students to engage in behaviors that could undermine academic integrity. Understanding why students commit these acts is crucial for designing effective policies to mitigate…
Descriptors: Technology Uses in Education, Artificial Intelligence, Natural Language Processing, Cheating
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Hagermoser Sanetti, Lisa M.; Fallon, Lindsay M. – Journal of Educational & Psychological Consultation, 2011
The assessment of treatment integrity is important for determining the effectiveness of an intervention. Treatment integrity, a multidimensional construct, can be evaluated in two ways: by session or component. In this study, adherence, quality, and exposure data are estimated using permanent product data from implementation of the PAX Good…
Descriptors: Consultation Programs, Integrity, Intervention, Student Behavior
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Farisi, Mohammad Imam – Turkish Online Journal of Distance Education, 2013
Today, in the era of open access to digital-based information and communication, one of the biggest challenges in higher education to realize moral education and to build academic culture and integrity is the emergence of academic dishonesty behaviors among academic members. The paper describes academic dishonesty behaviors in Distance Higher…
Descriptors: Ethics, Distance Education, Higher Education, Models
Celene E. Domitrovich; Catherine P. Bradshaw; Mark T. Greenberg; Dennis Embry; Jeanne M. Poduska; Nicholas S. Ialongo – Grantee Submission, 2010
School-based prevention programs can positively impact a range of social, emotional, and behavioral outcomes. Yet the current climate of accountability pressures schools to restrict activities that are not perceived as part of the core curriculum. Building on models from public health and prevention science, we describe an integrated approach to…
Descriptors: Models, Prevention, School Activities, Integrated Activities