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Developing creativity through visualisation of ideas in neural networks

https://doi.org/10.32517/0234-0453-2025-40-3-41-49

Abstract

   The article presents a methodology of creativity development based on mastering the ways of generating ideas and their visualisation with the help of neural networks.

   The relevance of the work is conditioned by the introduction of computer image generation technologies in digital communications, changes in the structure of professional skills and the need to master new technologies within the framework of ICT learning.

   The aim of the article is to describe the order of conducting a practical lesson on working with generative neural networks, with special attention paid to the development of divergent thinking and application of heuristic methods in the era of artificial intelligence development.

   The article describes spheres of neurography application and problems of its dissemination, systematises modern approaches to creativity development. The methodology of visualisation of creative ideas using neural networks is presented, which implies the following sequence of work on the project: generation of ideas using heuristic methods, verbalisation of ideas through writing text queries, visualisation of ideas using generative neural networks, creation of design layout in a graphic editor.

   The novelty of the study lies in the analysis of the possibilities of using neural network image generation technologies in pedagogical practice and their implementation in the process of creativity development for the formation of actual skills of project activity within the framework of ICT learning.

   The article is illustrated with examples of student works. The presented set of tasks can be applied in practical ICT classes and in project activities of students and pupils. The article is addressed to media educators, students conducting project activities, as well as specialists using the possibilities of image generation in neural networks in communication projects.

About the Author

V. Yu. Grushevskaya
Ural Federal University named after the First President of Russia B. N. Yeltsin
Russian Federation

Veronica Yu. Grushevskaya, Candidate of Sciences (Philology), Docent, Associate Professor

Department of Integrated Marketing Communications and Branding

Yekaterinburg



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Review

For citations:


Grushevskaya V.Yu. Developing creativity through visualisation of ideas in neural networks. Informatics and education. 2025;40(3):41-49. (In Russ.) https://doi.org/10.32517/0234-0453-2025-40-3-41-49

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ISSN 0234-0453 (Print)
ISSN 2658-7769 (Online)