Artificial intelligence systems in adaptive learning

- Demianenko, Viktor (orcid.org/0000-0002-1469-8185) (2019) Artificial intelligence systems in adaptive learning Theory and practice of science education, 1 (1). pp. 102-110. ISSN 978-617-7734-13-9

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Abstract

The article states that the mass introduction of advanced technologies related to presentation of educational materials and expanding the variety of educational activities, etc into the educational system necessitates the development of new didactic approaches. The main feature of such learning is its personalized focus - the adaptability of learning to the individ„пі students' needs. As indicated in the article, one of the promising ways to organize such learning is the creation of a high-tech educational platform, the functioning of which is provided by computer technologies involving artificial intelligence. The article describes the technologies of artificial intelligence systems and their functions in the development of educational platforms. The article defines the technologies of adaptive educational platforms, where personalized learning trajectories can be formed using the functions of artificial intelligence, which significantly optimizes the time required for knowledge acquisition by each student. It is noted thut the use of artificial intelligence technologies allows effective monitoring and analysis of not only the results of the completed educational tasks, bid also their performance course. This provides an opportunity for a deeper analysis of knowledge acquisition by students. The approach is based on the technologies of automatic sorting, midtimedia reproduction of learning process, and the ability to monitor students' thinking, and adaptive analytics, which allows improving the individualization of learning. Artificial intelligence helps to develop a personalized educational approach for each student in order to make learning more effective. The article justifies the need for application of artificial intelligence technologies wtiti the view to determine the individual characteristics of each student and analyze his/her learning achievements for further adjustment. At the same time, the introduction of artificial intelligence should be aimed at preserving and enhancing all strong aspects of teacher's activities. New technologies need to be implemented carefully and pedagogically appropriately in order to avoid making students "childish". It should be remembered that the leadership position in any educational process belongs to the teacher.

Item Type: Article
Keywords: artificial intelligence, artificial neural networks, machine learning, programmed learning, adaptive learning, adaptive education, adaptive educational platform, individual-typological features of the student
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 > 004.9 ІКТ ( Application-oriented computer-based techniques )
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education
Divisions: Information Technologies and Learning Tools > Department of Open Education and Scientific Information Systems
Depositing User: Віктор Михайлович Дем’яненко
Date Deposited: 21 Jan 2020 10:13
Last Modified: 21 Jan 2020 10:13
URI: http://lib.iitta.gov.ua/id/eprint/718106

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