Mind Maps in the Modern Educational Process: Advantages, Functions, Visualization Principles and Design Tools

Author:

Nazarova O. V.1,Nazarov A. V.1

Affiliation:

1. Kuban State University

Abstract

The peculiarities of information perception by modern schoolchildren and students stimulate the pedagogical community to introduce new ways of presenting educational information. This article attempts to show the effectiveness of such a popular visual thinking technique as mind maps for the process of visualization and correction of perception of educational content and to analyze the software of this process. The authors have identified methodological and theoretical grounds for the use of mind maps in the educational process and presented their extended typologization. The article demonstrates the results of approbation of mind maps in the study of one of the topics of the discipline “Computer Workshop” with first-year students of the Faculty of Economics. The authors of the article consider the development of an algorithm for training neural networks to build mental maps taking into account the identified needs, the type of mind maps and the context of visualization as prospects for further research

Publisher

Federal State Budgetary Educational Institution of Higher Education «Moscow Pedagogical State University» (MPGU)

Reference10 articles.

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2. Nazarova, O.V., Shmalko, S.P., Nazarov, A.V., Sevryugina, N.I. Freeware Software in the Implementation of Interactive Educational Content. CEUR Workshop Proceedings: 5. Yalta, 2021, pp. 199–210.

3. Koleňáková, R.Š. Mental Maps in Educational Process and Their Impact on Pupil’s Learning Performance. Proceedings of 11th International Conference on Education and New Learning Technologies. Palma, 2019.

4. Nazarova, O.V., Perov, A.G., Shmalko, S.P. Tekhnologiya kartirovaniya znanij kak faktor povysheniya kachestva obucheniya [Technology of Knowledge Mapping as a Factor in Improving the Quality of Education], Politematicheskij setevoj elektronnyj nauchnyj zhurnal Kubanskogo gosudarstvennogo agrarnogo universiteta = Polythematic Network Electronic Scientific Journal of the Kuban State Agrarian University, 2013, No. 89, pp. 1436–1445. (in Russ.)

5. Eppler, M.J., Burkhard, R.A. Visual Representations in Knowledge Management: Framework and Cases, Journal of Knowledge Management, 2007, vol. 11, No. 4, pp. 112–122.

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