DIAGNOSIS OF COGNITIVE INTEREST THROUGH VISUAL SCENARIOS: THE POSSIBILITIES OF GENERATIVE ARTIFICIAL INTELLIGENCE
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Author(s): | Einem K. V., Galaktionova T. G., Kriukova S. S., Prolygin A. N., |
| Number of journal: | 3(72) | Date: | September 2025 |
| Annotation: | The article describes the results of the development and testing of an innovative tool for diagnosing the cognitive interest of schoolchildren through visual scenarios. The present- ed methodology is based on the theoretical concept of cognitive interest by G. I. Shchukina. The diagnosis focuses on two key parameters of cognitive interest: regulatory and contentactivi- ty. As a tool, the authors propose a specialized visualized ques- tionnaire that includes typical learning situations (the mood for a lesson, working with new material, solving difficult problems, participating in a discussion, etc.). For each situation, two alter- native behavioral scenarios are considered, reflecting differ- ent characteristics of the cognitive interest of schoolchildren. A distinctive feature of the technique is the generation of illus- trations using artificial intelligence (Kandinsky, Masterpiece, YandexGPT.Images). This solution made it possible to create a unique stylistically holistic and emotionally intense visual content in the comic book genre popular among teenagers. The article presents the results of an approbation conducted with the participation of 228 students. As significant results, the authors identify: practical confirmation of the applicability of visual sce- narios as a tool for diagnosing the cognitive interest of school- children, increasing student engagement; the emotional attrac- tiveness of the proposed diagnostic tools for schoolchildren; the universality of the pedagogical solution, regardless of the content context of the subjects; the effectiveness of using generative AI to create pedagogically appropriate, aesthetic and relevant visu- al content. The analysis of the selected visual comic scenarios for each of the 7 situations allowed us to identify a number of characteristic features of the manifestation of cognitive interest in adolescents. Based on the pilot testing, the authors conclude that the technique based on visual scenarios with AI generation is an effective and modern tool for diagnosing the cognitive interest of schoolchildren. It allows us to obtain objective data on the nature of cognitive interest in selected key parameters, integrate diag- nostics into the educational process and provides teachers with valuable information to improve the educational process in order to develop the cognitive interest of students. | ||
| Keywords: | cognitive activity, learning factors, interest, cog- nitive interest, activation of cognitive interest, diagnosis of cog- nitive interest, parameters of cognitive interest indicators, reg- ulatory processes, visualization, visual communication, visual scenarios, generative artificial intelligence |
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| For citation: | Galaktionova T. G., Kriukova S. S., Prolygin A. N., Einem K. V. Diagnosis of cognitive interest through visual scenarios: the possibilities of generative artificial intelligence. Biznes. Obrazovanie. Pravo = Business. Education. Law. 2025;3(72):294—303. DOI: 10.25683/VOLBI.2025.72.1363. |
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