This article discusses the current problem of cheating students of higher educational institutions during the exam. The subject area is investigated, and the results of theoretical and empirical research on cheating as one of the forms of academic fraud are presented. Statistical data of violations during the exam are shown, and the main patterns of violations during distance learning are revealed. The results of the study will help to determine during what period of the final certification students violate the rules of academic honesty more often.
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http://dx.doi.org/10.1007/s10559-023-00533-x | DOI Listing |
Appl Psychol Meas
April 2024
Pearson VUE, Chicago IL, USA.
Published information is limited regarding the security of testing programs, and even less on the relative security of different testing modalities: in-person at test centers (TC) versus remote online proctored (OP) testing. This article begins by examining indicators of test security violations across a wide range of programs in professional, admissions, and IT fields. We look at high levels of response overlap as a potential indicator of collusion to cheat on the exam and compare rates by modality and between test center types.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
Division of Education and Innovation, Department of Medicine, McMaster University, Hamilton, Ontario, Canada.
Introduction: The COVID-19 pandemic necessitated rapid adaptation of clinical competence assessments, including the transition of Objective Structured Clinical Examinations (OSCE) from in-person to virtual formats. This study investigates the construct equivalence of a high-stakes OSCE, originally designed for in-person delivery, when adapted for a virtual format.
Methods: A retrospective analysis was conducted using OSCE scores from the Internationally Educated Nurse Competency Assessment Program (IENCAP®).
Cureus
September 2024
Ophthalmology, Augusta University Medical College of Georgia, Savannah, USA.
GMS J Med Educ
October 2024
Institut für medizinische und pharmazeutische Prüfungsfragen (IMPP), Mainz, Germany.
The high performance of generative artificial intelligence (AI) and large language models (LLM) in examination contexts has triggered an intense debate about their applications, effects and risks. What legal aspects need to be considered when using LLM in teaching and assessment? What possibilities do language models offer? Statutes and laws are used to assess the use of LLM: - University statutes, state higher education laws, licensing regulations for doctors - Copyright Act (UrhG) - General Data Protection Regulation (DGPR) - AI Regulation (EU AI Act) LLM and AI offer opportunities but require clear university frameworks. These should define legitimate uses and areas where use is prohibited.
View Article and Find Full Text PDFIran J Otorhinolaryngol
September 2024
Division of Otorhinolaryngology, Department of Surgical Sciences, University of Turin, Via Genova 3, Turin, Italy.
Introduction: Atypical pleomorphic adenoma (PA) is an uncommon tumor, more frequent in submandibular and parotid glands. PA is classified as atypical when it presents hypercellularity, necrosis or hyalinization, dysplasia, capsular violation or distant metastases.
Case Report: We described a case of a 39-year-old female presented with a slowly growing mass involving the soft palate.
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