COGNITIVE TECHNOLOGY FOR THE FORMATION OF COMPETENCIES OF STUDENTS IN THE STUDY OF NATURAL SCIENCE SUBJECTS
DOI:
https://doi.org/10.28925/2663-4023.2024.23.237245Keywords:
cognitive technology; competence; artificial intelligence; students.Abstract
The article focuses on the study of the impact of cognitive technologies, in particular those based on artificial intelligence, on the process of forming the competencies of students, as well as on the consideration of approaches to the development of cognitive information technology. As part of the work, the authors developed a model of cognitive technology for the formation of competencies of students, which integrates an individualized approach to learning aimed at improving the quality of education and developing key competencies of students. The authors conducted a detailed analysis of the current scientific literature to determine the critical parameters for evaluating the effectiveness of the proposed system. The empirical part includes experiments with students studying natural science disciplines, demonstrating a significant improvement in learning and motivation to pursue education. It is shown that the cognitive model of the technology for the formation of competencies of students is influenced by the following: the regulatory framework, the concept of cognitive technology, the software and hardware complex, and human resources. The result of the application of this technology is «Recommendations for improving the process of forming the competencies of students». It is also shown that this model can be divided into two stages: «Neural network training» and «Implementation of the neural network in the educational process». This study focuses on achieving efficiency and minimizing educational losses in the process of acquiring competencies. The study confirms the sufficient effectiveness of cognitive technology for the formation of competencies of students, opening up new prospects for its application in various educational contexts. The study shows the possibilities of an approach to the development of educational technologies using artificial intelligence, offering innovative approaches to learning, contributing to the formation of deep knowledge and the development of a comprehensive understanding of the subject matter.
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References
Vizniuk, I., et al.., (2021). The use of artificial intelligence in education. Modern Information Technologies and Innovation Methodologies of Education in Professional Training Methodology Theory Experience Problems, 14–22. https://doi.org/10.31652/2412-1142-2021-59-14-22
Gorbachev, O. (2023).The use of artificial intelligence in education: advantages, challenges and opportunities. State, achievements and prospects of information systems and technologies: materials of the XXIII All-Ukrainian scientific and technical conference of young scientists, graduate students and students, 334–335.
Nikolenko, K., Protas, О., & Yarmolenko, Т. (2023). Innovative technologies of artificial intelligence for ensuring academic integrity in educational institutions of Ukraine. Prospects and Innovations of Science, 12(30), 393–406.
Marienko, M., Kovalenko, V. (2023). Artificial intelligence and open science in education. Physical and mathematical education, 38(1), 48–53. https://doi.org/10.31110/2413-1571-2023-038-1-007
Skitsko, O., et al. (2023). Threats and Risks of Using Artificial Intelligence. Electronic professional scientific publication “Cybersecurity: Education, Science, Technology”, 2(22), 6–18. https://doi.org/10.28925/2663-4023.2023.22.618
Buriachok, V., et al. (2020). Application of the Ni Multisim Environment in the Formation of Practical Skills of Students of Specialty 125 “Cybersecurity”. Electronic professional scientific publication “Cybersecurity: Education, Science, Technology”, 1(9), 159–169. https://doi.org/10.28925/2663-4023.2020.9.159169
Nguyen, N. (2023). Exploring the role of AI in education. London Journal of Social Sciences, 84–95. https://doi.org/10.31039/ljss.2023.6.108.
Kryvoruchko, O. (2022). Modeling the process of forming the competencies of IT specialists. Integrated quality assurance of technological processes and systems (QAQAPS - 2022): abstracts of the XII International Scientific and Practical Conference, 2(2).
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Copyright (c) 2024 Альона Десятко , Наталя Хорольська, Віталій Чубаєвський
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