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Назва: Semantic knowledge networks in education
Автори: Ків, Арнольд Юхимович
Соловйов, Володимир Миколайович
Тарасова, Олена Юріївна
Koycheva, Tetyana
Kolesnykova, Katrina
Ключові слова: network model
cognitive science
cognitive network
graph theory
topological measures
Дата публікації: 22-кві-2020
Видавництво: EDP Sciences
Бібліографічний опис: Kiv A. Semantic knowledge networks in education [Electronic resource] / Arnold Kiv, Vladimir Soloviev, Elena Tarasova, Tetyana Koycheva, Katrina Kolesnykova // The International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters (ICSF 2020). Kryvyi Rih, Ukraine, May 20-22, 2020 / Eds. : S. Semerikov, S. Chukharev, S. Sakhno, A. Striuk, V. Osadchyi, V. Solovieva, T. Vakaliuk, P. Nechypurenko, O. Bondarenko, H. Danylchuk // E3S Web of Conferences. – 2020. – Volume 166. – Article 10022. – Access mode : https://www.e3s-conferences.org/articles/e3sconf/abs/2020/26/e3sconf_icsf2020_10022/e3sconf_icsf2020_10022.html. – DOI : 10.1051/e3sconf/202016610022
Серія/номер: E3S Web of Conferences;166
Короткий огляд (реферат): The article is devoted to the modeling a semantic knowledge networks. The knowledge network is the basic concept of the problem of knowledge management. This is a new discipline that implements the principles of sustainable development of education. The method of constructing a semantic knowledge network allows us to analyze the connections between educational disciplines: “Economic Cybernetics”, “Algorithms and Programming” and “Calculus”. The paper compares the topological characteristics of the concept graphs related to various disciplines. We develop the algorithm to implement the subject area model in the form of a semantic knowledge network. 125 concepts are analyzed that provide optimal mastering disciplines and establish the connection between them.
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URI (Уніфікований ідентифікатор ресурсу): https://www.e3s-conferences.org/articles/e3sconf/abs/2020/26/e3sconf_icsf2020_10022/e3sconf_icsf2020_10022.html
http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3771
https://doi.org/10.1051/e3sconf/202016610022
ISSN: 2267-1242
Розташовується у зібраннях:Кафедра інформатики та прикладної математики

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