Pedagogical principles of modernization of the “Computer design” course for future teachers of computer science in the era of AI
Keywords:
artificial intelligence, computer design, curricula, computer science teacher, generative models, AI ethics, digital competence, neural networks
Abstract
The article substantiates the theoretical and methodological principles of modernizing curricula in computer design for future computer science teachers in the context of the intensive development of artificial intelligence technologies. Based on an analysis of international documents, national regulatory sources, and modern scientific research, key competencies necessary for teachers to effectively and ethically integrate AI into the educational process have been identified. An experimental study, which included a survey of students and teachers of the Dragomanov University, has shown a high level of distribution of AI tools in educational activities and the relevance of updating the methodological support of design disciplines.
An updated structure of the course “Computer Design” is presented, which includes modules on the basics of visual communications and design thinking, working with raster and vector graphics using AI tools, as well as legal and ethical aspects of using artificial intelligence in the field of design. A system of competencies that future computer science teachers must form in the process of mastering the course has been determined: critical evaluation of AI work results, the ability to formulate effective prompts, the ability to ensure academic integrity when using generated content, the development of creativity, digital literacy and skills in creating ethical and accessible educational visual material. It is substantiated that the modernization of computer design disciplines in accordance with modern technological trends is a necessary condition for the professional training of a computer science teacher in the context of the digital transformation of education.
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References
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Balovsiak, N. (2006). Structure and content of information competence of the future specialist. Scientific Journal of the Mykhailo Dragomanov Ukrainian State University. Series 2. Computer-Oriented Learning Systems, 4(11), 150-153. URL: https://sj.udu.edu.ua/index.php/kosn/article/view/693 [in Ukrainian].
Bykov, V. Yu., Ovcharuk, O. V., et al. (2017). Assessment of ICT competence of students and teachers in the conditions of European integration processes in education: a manual. Kyiv: Pedagogical opinion. [in Ukrainian].
Verbivskyi, D. S. (2025). Content-component structure of future informatics teachers’ readiness to use innovative technologies in professional activities. Science and Technology Today, 48, 564-577. URL: DOI: https://doi.org/10.52058/2786-6025-2025-7(48)-564-577 [in Ukrainian].
All-Ukrainian study on the use of AI in school education (2024). URL: https://talan.bank.gov.ua/uploads/ekspertyza/files/shi-v-osviti-rezultati-opituvannia.pdf [in Ukrainian].
Holovan, M. S. (2008). Competence and competency: experience of theory, theory of experience. Higher Education of Ukraine, 3, 23-30. [in Ukrainian].
Hrynevych, L. M., Morze, N. V., & Boiko, M. A. (2020). Scientific education as a basis for the formation of innovative competence in the conditions of digital transformation of society. Information Technologies and Learning Tools, 77(3), 1-26. [in Ukrainian].
Hurevych, R., Konoshevskyi, L., & Kostenko, N. (2023). Digital competence of teachers in the conditions of informatization of education. Scientific notes of the Mykhailo Kotsiubynskyi Vinnytsia State Pedagogical University. Series: Pedagogy and Psychology, 74, 7-13. DOI: https://doi.org/https://doi.org/10.31652/2415-7872-202374-7-13 [in Ukrainian].
Cabinet of Ministers of Ukraine. (2020). State Standard of Basic Secondary Education. Decree No. 898. URL: https://www.kmu.gov.ua/npas/pro-deyaki-pitannya-derzhavnih-standartiv-povnoyi-zagalnoyi-serednoyiosviti-i300920-898 [in Ukrainian].
Ministry of Education and Science of Ukraine. (2024). Instructional and methodological recommendations for the introduction and use of AI technologies in general secondary education institutions. URL: https://mon.gov.ua/static-objects/mon/sites/1/news/2024/05/21/Instruktyvno.metodychni.rekomendatsiyi.shchodo.SHI.v.ZZSO-22.05.2024.pdf [in Ukrainian].
Kryvonos, O. M., & Kolesnyk, O. O. (2025). Formation of digital literacy and creativity of future computer science teachers. Proceedings of the XIII International Conference «Professional Development of the Personality: Problems and Prospects».
[in Ukrainian].
Osvitoria. (2024). Almost all Ukrainian teachers use AI in their work: Osvitoria survey results. URL: https://osvitoria.media/news/majzhe-vsi-ukrayinski-vchyteli-vykorystovuyut-shi-u-svoyij-roboti-rezultatyopytuvannya-osvitoriyi/ [in Ukrainian].
Ministry of Education and Science of Ukraine. (2021). Concept of digital competence development. URL: https://zakon.rada.gov.ua/laws/show/167-2021-р#Text [in Ukrainian].
Morze, N., Buinytska, O., & Kocharian, A. (2015). ICT competence of teachers and students as a way to form the information educational environment of the university. In V. O. Ohneviuk (Ed.), Competency-oriented education: qualitative dimensions. Collective monograph. Kyiv: Borys Grinchenko Kyiv University. 151-196. [in Ukrainian].
Morze, N. V., Vember, V. P., & Gladun, M. A. (2019). 3D mapping of digital competence in education systems in Ukraine. Information technology and learning tools, 70(2), 28–42. DOI: https://doi.org/10.33407/itlt.v70i2.2994 [in Ukrainian].
Morze, N. V., & Boiko, M. A. (2025). Digital competence of the teacher in the era of artificial intelligence. URL: https://elibrary.kubg.edu.ua/id/eprint/53275/2/ Tsyfrova_kompetentnist_vchytelya_v_eru_SHI.pdf [in Ukrainian].
Pylypchuk, O., Shendryk, I., & Polubok, A. (2023). Possibilities of modern computer technologies using AI in creating objects of fine art. Urban planning and territorial planning, 84, 251-262. DOI: https://doi.org/10.32347/2076-815x.2023.84.251-262 [in Ukrainian].
Ministry of Economy of Ukraine. (2020). Professional standard for the professions of primary school teacher and secondary school teacher. URL: https://zakon.rada.gov.ua/rada/show/v2736915-20#Text [in Ukrainian].
Spirin, O. M. (2013). Methodological system of basic training of computer science teachers by credit-modular technology. Zhytomyr: Publishing House of the I. Franko Zhytomyr State University. [in Ukrainian].
Ministry of Education and Science of Ukraine. (2025). Artificial intelligence in higher education institutions: recommendations for teachers, students and staff. URL: https://mon.gov.ua/static-objects/mon/sites/1/news/2025/04/24/shi-v-zakladakh-vyshchoi-osvity-24-04-2025.pdf [in Ukrainian].
Cosgrove, J., & Cachia, R. (2025). DigComp 3.0: European Digital Competence Framework - Fifth Edition. Luxembourg: Publications Office of the European Union. URL: https://data.europa.eu/doi/10.2760/0001149
Cusumano, M. A., Yoffie, D. B., & Gawer, A. (2023). Generative AI and its Transformative Value for Digital Platforms. Journal of Management Information Systems. DOI: https://doi.org/10.1145/3615859
European Commission. (2025). Digital Competence Framework (DigComp). URL: https://joint-research-centre.ec.europa.eu/projects-and-activities/education-and-training/digital-transformation-education/digitalcompetence-framework-digcomp_en
Dorling Kindersley. (2019). How Technology Works: The Facts Visually Explained. DK Publishing.
Granet, K. (2011). The Business of Design: Balancing Creativity and Profitability. Princeton Architectural Press.
Green, H. (2023). Generative AI in the Art Classroom: Potentials and Perils. International Journal of Art & Design Education, 42(3), 345-358.
Kiesler, N., Smith, J., Leinonen, J., Fox, A., Macneil, S., & Ihantola, P. (2025). The Role of Generative AI in Software Student CollaborAItion. ITiCSE 2025 - Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education, 72-78. DOI: https://doi.org/10.1145/3724363.3729040
OECD. (2023). OECD Digital Education Outlook 2023. URL: https://www.oecd.org/en/publications/oecd-digitaleducation-outlook-2023_c74f03de-en.html
European Union. (2024). The EU Artificial Intelligence Act. URL: https://artificialintelligenceact.eu/
Tuncay, N. (2024). Smart Technologies and AI in Education: New Horizons for Design and Creativity. The Turkish Online Journal of Educational Technology, 23(1), 12-19.
UNESCO. (2023). Readiness assessment methodology: A tool of the recommendation on the ethics of artificial intelligence. DOI: https://doi.org/10.54678/YHAA4429
Published
2025-12-30
Cited
How to Cite
Yefymenko, T. (2025). Pedagogical principles of modernization of the “Computer design” course for future teachers of computer science in the era of AI. Scientific Notes of the Pedagogical Department, (57), 64-80. https://doi.org/10.26565/2074-8167-2025-57-06
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