Adaptive learning systems: the essence, features, state of use in Ukrainian institutions of pedagogical education

- Носенко, Ю.Г. (2018) Adaptive learning systems: the essence, features, state of use in Ukrainian institutions of pedagogical education Фізико-математична освіта, 3 (17). pp. 73-78. ISSN 2413-1571

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Abstract

The article defines the essence of adaptive learning systems based on information and communication technologies (ICT), representing a technology that automatically adjusts learning content in accordance with the actual level of student’s achievement, which this technology evaluates, and also according to individual characteristics (age, pace, psychotype, etc.). A comparative analysis of traditional and adaptive learning systems (ALS) based on ICT has been conducted. The main advantages of the ACS are described, among them: automation of estimation and prediction; the ability to be ‘adapted’ to each student; regulation of the complexity degree of educational content; constant tracking of individual educational progress; obtaining data about student’s individual needs; ability to track one’s own educational trajectory; ability to reduce the routine load on teachers; possibility of continuous improvement of training courses, etc. The characteristics that are inherent to the majority of the ALS are determined: automation, sequencing, assessment, real-time data collection, self-organizing. A description of the main types of ALS is given, namely: machine-learning-based adaptive systems; advanced algorithm adaptive systems; rules-based adaptive systems; and decision-tree adaptive systems. A number of criteria is defined that can be used to determine if a learning system is adaptive. The results of the survey of 16 pedagogical universities and 15 institutes of postgraduate pedagogical education of Ukraine are presented. It is established that none of these institutions uses ALS. It is emphasized that now ALSs are only beginning to be actively developed and gradually implemented. Even in leading countries, such systems have not become widely distributed, undergoing experimental testing. In near future, ALSs will become the driving force behind the development of new pedagogy, new strategies for personalizing education, and expanding opportunities for active learning.

Item Type:	Article
Keywords:	adaptive learning system, personalized learning, individual educational trajectory, individual learning progress, adaptive assessment.
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 > 37.02 General questions of didactics and method
Divisions:	Institute for Digitalisation of Education > Department of Cloud-Oriented Systems and Artificial Intelligence in Education
Depositing User:	пров.н.с. Ю.Г. Носенко
Date Deposited:	14 Nov 2018 08:56
Last Modified:	01 Feb 2019 00:47
URI:	https://lib.iitta.gov.ua/id/eprint/712397

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