Semantic knowledge networks in education

Arnold Kiv,Katrina Kolesnykova,Tetyana Koycheva,Vladimir Soloviev,Elena Tarasova,S Semerikov,O Bondarenko,H Danylchuk,S Sakhno,V Osadchyi,A Striuk,P Nechypurenko,V Solovieva,T Vakaliuk,S Chukharev

doi:10.1051/e3sconf/202016610022

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.

Highlights

Problems of modernization of education in the framework of sustainable development are studied in many works [16].The epidemics, the destruction of the natural environment and climate change, the depletion of material and energy resources, the population explosion and lack of food, as well as the civilization crisis as a whole, are complex interdisciplinary problems of the mankind
Quality of professional training students in the modern sense is determined by their willingness and ability to use the acquired professional competencies to solve professional tasks, and multidisciplinary problems that may contribute to sustainable development at the level of the country, region and the world as a whole
The knowledge network is the basic concept of knowledge management

Summary

Introduction

Problems of modernization of education in the framework of sustainable development are studied in many works [16]. A feature of the modern stage in the development of educational systems is the necessity of expending the use of formal methods for presenting knowledge and organizing the learning process. These trends are based on the use of the achievements of cybernetics, synergetic, and the theory of artificial intelligence. Network science is based on mathematical graph theory and contains powerful quantitative methods for researching systems, such as networks (for example, [33]) At this stage in the development of the education system, the priority is to find ways to improve the learning process, its content and structure. Cognitive networks are a tool for cognition, but can a basis for controlling student’s knowledge

Analysis of previous studies

Theoretical framework

Results and analysis

Conclusions

40. Wiktionary