Prospects of using neural networks in higher education of Ukraine

- Наливайко, О.О. (orcid.org/0000-0002-7094-1047) (2023) Prospects of using neural networks in higher education of Ukraine Information Technologies and Learning Tools, 5 (97). pp. 1-17. ISSN 2076-8184

Text Олексій Олексійович Наливайко.pdf - Published Version Download (789kB)

Abstract

The research presents the possibilities of using neural networks to improve the learning process in Ukraine. The work analyzed scientific research and practical developments regarding the use of neural networks in the field of education, considered the advantages and disadvantages of using this technology to improve the effectiveness of the educational process. The most used and popular neural networks at the time of the research were determined: ChatGPT, Tome, Midjourney, Compose AI, Runway, Adobe Podcast. In addition, the possibilities for the formation of some of the above-mentioned neural networks were analyzed. The author of the study drew attention to the potential opportunities of neural networks in the system of higher education: the ability of neural networks to automatically process and analyze a large amount of data, which allows improving the quality of education; ensuring a more individual approach to each student; using neural networks to predict a learner's learning trajectory based on their academic performance and learning preferences, etc. The study also indicated the need to solve a number of technical and ethical issues related to the use of neural networks in the higher education system, such as: protecting the privacy of participants in the educational process; establishment of rules for the use of their data and their derivatives in education and scientific work; compliance with the rules of academic integrity and respect for the intellectual property of others. The research findings show that the use of neural networks in the higher education system of Ukraine has great potential for improving the learning process, but their implementation should be aimed at improving the quality of learning and promoting student development, and not at replacing teachers with the latest technologies.

Item Type:	Article
Keywords:	neural networks; chat bots; higher education; digital technologies; innovations in education; participants in the educational process.
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.01/.08 Special auxiliary numbers for computing > 004.03 System types and characteristics Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques ) Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions:	Institute for Digitalisation of Education > Generic resouse
Depositing User:	Алла 1 Алла Почтарьова
Date Deposited:	03 May 2024 10:27
Last Modified:	03 May 2024 10:27
URI:	https://lib.iitta.gov.ua/id/eprint/740632

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