FEATURES OF ENSURING ACADEMIC INTEGRITY DURING REMOTE ENT CLASSES IN THE CONDITIONS OF ARTIFICIAL INTELLIGENCE UNLIMITED DEVELOPMENT (BIBLIOGRAPHICAL REVIEW & OWN EXPERIENCE)
DOI:
https://doi.org/10.37219/y4h6gg23Keywords:
distance education, online education, combined education, artificial intelligence, academic integrity, proctoringAbstract
Abstract
The article presents an analysis of literature data and own experience of the National Pirogov Memorial Medical University (Vinnytsya, Ukraine) Department of ENT Diseases regarding the peculiarities of the clinical disciplines educational process organizing under martial law in rear higher medical educational universities. Particular attention is paid to the shortcomings of distance learning and ways to overcome them, principles of optimizing theoretical and practical training, as well as maintaining academic integrity during distance learning in an era of unlimited use of teleprompter and deepfake technologies in real time based on artificial intelligence. The paper analyzes methods of controlling the misuse of artificial intelligence and various types of fraud during the examination of higher education applicants at the distance education stage. It provides a detailed analysis of the interaction between teachers and students, possible ways of fraud, as well as various types of countermeasures and their effectiveness, which changes over time. The publication describes the basic principles of professional hybrid proctoring: AI monitoring with face recognition, automatic analysis of the environment using 360° video cameras, sounds and movements outsighting, including eye movements, detection of additional browser windows with desktop blocking; principles for assessing the “level of confidence” in a response; features of real-time human observation via webcam and microphone (Live Proctoring); the use of different levels of test abstraction, including illustrative and psychometric tests, with a transition from memory testing to testing of subsequent 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, data encryption according to privacy standards, and personal data protection.
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