Chapter VI. Integration of Diffusion AI Models into the Educational Process as a Driver of Creative Innovation

Корабльов, Віктор (orcid.org/0009-0000-2487-6259) (2025) Chapter VI. Integration of Diffusion AI Models into the Educational Process as a Driver of Creative Innovation (1). ІЦО НАПН України, м. Київ, Україна, pp. 80-96. ISBN 978-617-8330-53-8

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Abstract

The rapid integration of artificial intelligence into various spheres necessitates the modernization of educational content and methods, particularly in informatics education. This chapter addresses the development and experimental validation of methodological materials for teaching the "Graphic Editor" topic to 5th-grade students in the New Ukrainian School (NUS), utilizing AI diffusion models as a driver of creative innovation. Traditional approaches often limit students' creative potential and fail to leverage modern technological capabilities. The proposed methodology integrates the Krita graphic editor with the Krita AI plugin, based on Stable Diffusion models, to augment the creative process. This approach involves project-based learning, problem-solving tasks, and gamification elements, where AI acts as a creative partner, offering stylistic suggestions, color palettes, and compositional variations based on student prompts (prompt engineering). An 8-week pedagogical experiment involving an experimental group (N=22, using Krita+Krita AI) and a control group (N=24, traditional methods) was conducted. Pre- and post-experiment assessments measured theoretical knowledge, practical skills, creativity, and motivation. The results demonstrated a significantly higher increase in learning achievements in the experimental group (average level increased by approx. 35.34%) compared to the control group (approx. 16.74%). The share of students achieving a high level rose from 13.64% to 36.36% in the experimental group, while the share at the initial level decreased from 22.73% to 4.55%. Statistical analysis (Student's t-test, Welch's t-test for homogeneity) confirmed the statistically significant difference between the groups (p < 0.05). The findings validate the hypothesis that integrating AI diffusion models enhances learning effectiveness, fosters creativity, and increases student motivation in graphic editor training. Recommendations include integrating these materials into curricula and providing teacher training on AI tools and prompt engineering.

Item Type:	Book
Additional Information:	Корабльов Віктор. Pозділ VI. Інтеграція дифузійних моделей ШІ в освітній процес як рушій творчих інновацій. Штучний інтелект в освіті. Частина 1 : монографія / [авт. колектив]; за ред. Яцишин А. – Київ: ІЦО НАПН України, 2025. – С. 80-96. ISBN 978-617-8330-53-8
Keywords:	AI in education, graphic editor, Krita, diffusion models, Stable Diffusion, prompt engineering, 5th grade, NUS, learning effectiveness, creative potential, educational innovation
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 Application-oriented computer-based techniques Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education > 37.02 General questions of didactics and method Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education > 37.09 Organization of instruction Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 373 Kinds of school providing general education
Divisions:	Institute for Digitalisation of Education > Generic resouse
Depositing User:	д.пед.н. Анна Яцишин
Date Deposited:	02 Jan 2026 13:30
Last Modified:	08 Jan 2026 10:44
URI:	https://lib.iitta.gov.ua/id/eprint/747999

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