文章基本信息

标题：Multiparametric selection of distance learning tools using fuzzy approaches
本地全文：下载
作者：Sergey Kramarov ; Vladimir Khramov ; Elena Grebenyuk 等
期刊名称：E3S Web of Conferences
印刷版ISSN：2267-1242
电子版ISSN：2267-1242
出版年度：2020
卷号：210
页码：1-10
DOI：10.1051/e3sconf/202021018024
出版社：EDP Sciences
摘要：The changes in connection with the outbreak of the pandemic have made their own adjustments to the educational process, almost simultaneously changing the usual way of full-time education at all levels, from school to higher professional education. The methodology of multiparametric selection of tools for ensuring the necessary quality of training, implemented on the principles of System of Systems, allowing the University to choose the composition and configuration of these tools, and taking into account the fuzziness of the source data, is proposed. Description of IM as fuzzy vectors and a method of evaluating misalignments can be the basis for multi-parameter methods of their choice, providing automated selection of the base set support the educational process. Thus, we can say that the remote format of work, which has entered all levels of the educational environment, is fixed there, and can be adjusted and developed – adapted to the specific conditions of educational institutions.