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http://ds.knu.edu.ua/jspui/handle/123456789/2290| Title: | Semantic knowledge networks in education |
| Authors: | Kiv, Arnold Soloviev, Vladimir Tarasova, Elena Koycheva, Tetyana Kolesnykova, Katrina |
| Keywords: | network model cognitive science cognitive network graph theory topological measures |
| Issue Date: | 22-кві-2020 |
| Publisher: | EDP Sciences |
| Citation: | 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 |
| Series/Report no.: | E3S Web of Conferences;166 |
| Abstract: | 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. |
| URI: | https://www.e3s-conferences.org/articles/e3sconf/abs/2020/26/e3sconf_icsf2020_10022/e3sconf_icsf2020_10022.html http://ds.knu.edu.ua/jspui/handle/123456789/2290 |
| ISSN: | 2267-1242 |
| Appears in Collections: | Наукові статті |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| e3sconf_icsf2020_10022.pdf | article | 2.9 MB | Adobe PDF | View/Open |
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