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◆ Перспективи та інновації науки2026-02-14· Training (meteorology)

ENSURING ACADEMIC INTEGRITY DURING DISTANCE TRAINING OF HIGHER MEDICAL STUDENTS UNDER MARTIAL LAW IN THE ERA OF UNLIMITED SPREAD OF ARTIFICIAL INTELLIGENCE

Vasyl Kishchuk, Andriy Bartsikhovskiy, Andrii Isnyuk, Ihor Dmytrenko, Oleksandr Bondarchuk, Kateryna Lobko

原始摘要(英文原文)· Original abstract
The article presents an analysis of literary data and own observations, which were carried out at the Department of ENT Diseases of the M. I. Pirogov VNMU (Vinnytsia, Ukraine), regarding the peculiarities of organizing the educational process in clinical disciplines under martial law in rear higher medical educational institutions.Attention is drawn to the advantages and disadvantages of distance and full-time education, the principles of optimizing practical training and maintaining academic integrity during distance classes in the era of unlimited use of real-time teleprompting technologies based on artificial intelligence.The paper analyzes methods for controlling the misuse of artificial intelligence and various types of fraud during the 1(59) 20261985 survey of higher education students at the distance stage of education.The links of interaction between the teacher and the higher education student, possible ways of fraud and various types of countermeasures, its effectiveness, which changes over time, are analyzed in detail.The main principles of professional hybrid proctoring are described: AI monitoring with facial recognition, automatic analysis of the environment using 360 video cameras, sounds and movements, including eyes, detection of multiple browser windows with desktop locking); principles of assessing the "confidence level" of the answer; features of human observation in real time via webcam and microphone (Live Proctoring); use of different levels of test abstraction, including illustrative, subjective (open) questions, psychometric tests with the transition from memory testing to testing the next levels of competence and critical thinking; randomized creation of unique individual sets of tasks.Attention is drawn to adaptability to the detection of deepfake technologies, the importance of plagiarism tracking and data encryption according to privacy standards.
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ENSURING ACADEMIC INTEGRITY DURING DISTANCE TRAINING OF HIGHER MEDICAL STUDENTS UNDER MARTIAL LAW IN THE ERA OF UNLIMITED SPREAD OF ARTIFICIAL INTELLIGENCE — 科研速览 Science Skim