SHS Web Conf.
Volume 48, 2018ERPA International Congresses on Education 2018 (ERPA 2018)
|Number of page(s)||8|
|Published online||15 August 2018|
Adaptation algorithms of mathematical educational content in e-learning courses
Siberian Federal University, Kirenskogo st., 26, Krasnoyarsk, 660074, Russia
2 Reshetnev University, Krasnoyarskii Rabochii av., 31, Krasnoyarsk, 660037, Russia
* Corresponding author: YWeinstein@sfu-kras.ru
This article is devoted to the development of algorithms for the adaptation of mathematical educational content and their implementation in the e-learning system. The adaptation of a mathematical content consists in the selection of an optimal edition of the material that best suits the individual characteristics of the student. The novelty of the work is the organization of the adaptation algorithms of the educational content in a three-level system: "introductory content adaptation" (an adaptation of the content of introductory materials of the discipline based on the initial level of students) - "current adaptation of the content" (an adaptation of the mathematical content based on current effective actions of students in the electronic course) - "appraisal-correcting adaptation" (an adaptation of normative parameters of the level of assimilation of materials, taking into account the results achieved by students). The introduction of the proposed three-stage system makes it possible to implement in individual educational trajectories and to form for each student a personal space of mathematical educational content that adapts to its level of mastering the material, which helps to improve the quality of instruction in mathematical disciplines. An approbation of the proposed algorithms was carried out in the adaptive e-course in discrete mathematics, implemented at Siberian Federal University in Russia.
Key words: Adaptive e-learning cource / teaching mathematics / adaptation of mathematical content / adaptive E-Learning / personalized education / individual educational trajectory / LMS Moodle
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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