MANIT: a multilayer ANN integrated framework using biometrics and historical features for online examination proctoring. [PDF]
Malhotra M, Chhabra I.
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Dark personality traits are associated with academic misconduct, frustration, negative thinking, and generative AI use habits: the case of Sichuan art universities. [PDF]
Song J, Liu S.
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Academic misconduct and artificial intelligence use by medical students, interns and PhD students in Ukraine: a cross-sectional study. [PDF]
Lymar L, Kuchyn I, Bielka K, Puljak L.
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Artificial Intelligence can transform formative assessment in medical education. [PDF]
Feldman J, Gilchrist C, Leung FH.
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A configurational exploration of how personality traits influence GAI academic misconduct behaviors using fuzzy-set qualitative comparative analysis. [PDF]
Liang H, Reiss MJ.
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JETS policy on plagiarism and academic dishonesty.
Tucci V, Galwankar S.
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Predicting Clinical Dishonesty Among Nursing Students: The Impact of Personal and Contextual Factors. [PDF]
Apatić R +5 more
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Tracking changes in medical students' perceptions of academic ethics: a longitudinal study. [PDF]
Kwon H, Chae SJ.
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Ipsative Assessment: Concept and Assimilation in Competency-based Assessment in Undergraduate Medical Training. [PDF]
Mahajan R, Virk A, Saiyad S, Gupta K.
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