Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: 4th International Conference on Informatization of Education and E-Learning Methodology: Digital Technologies in Education, IEELM-DTE 2020
Год издания: 2020
Ключевые слова: adaptive learning, bilingualism, e-learning, personalization adaptive learning, teaching mathematics
Аннотация: Adaptive learning is an advanced technology providing personalization of educational process in e-learning environment. It is deemed currently important to develop and use e-learning courses that include mechanisms of adapting educational content to language peculiarities when teaching students originating from Russian indigenous minority peoples. The article represents an approach to adapting educational content when teaching mathematics in Russian-Tuvan bilingual conditions. The authors have chosen LMS Moodle as a software environment for implementing e-learning courses. It has the functional of educational content mechanism implementation via the accessibility settings of the e-learning course. The authors have developed an adaptive e-learning course (AELC) in discrete mathematics which supports automated course content navigation and is aimed at developing Russian language competence along with mathematical competence. Adaptation mechanisms have been put into action in the AELC by designing the rule base of educational content choosing and their binding to corresponding elements of the AELC, the access of students to which executes their activation by established conditions. Module “Sets and Relations” of the adaptive e-learning course “Discreet Mathematics” has been piloted and showed its effectiveness in training future mathematics and computer science teachers at the Faculty of Physics and Mathematics of Tuvan State University (training program 44.03.01 – Pedagogical Education). Over the longer term it is planned to optimize adaptation mechanisms of the AELC by means of including the conditions of student e-learning environment activity accounting into the rule base of educational content choosing. Copyright © 2020 for this paper by its authors.
Журнал: CEUR Workshop Proceedings
Выпуск журнала: Vol. 2770
Номера страниц: 65-71
ISSN журнала: 16130073
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