Digital educational environment for training future computer science teachers in the age of artificial intelligence
Abstract
The introduction of artificial intelligence (AI) into all spheres of human life presents new challenges, particularly for the education system. The level of awareness about the work of AI and its potential conse quences (the black box of AI) remains intuitive, mainly, despite the widespread use of AI in the educational process by all its participants. It is especially relevant for future computer science teachers. They need to form deep professional competencies in the field of AI. This can be ensured through the design of a modern digital educational environment for training future computer science teachers in the AI era.
The purpose of this article is to theoretically substantiate the construction of a conceptual and predictive model of a digital educational environment for training future computer science teachers in the AI era, identifying the prerequisites and outcomes of its design, key components, and relationships.
Research methods: theoretical (analysis and synthesis of scientific sources, systematization of concepts, classification of components); complex (modeling, conceptual and predictive design). The article analyzes scientific sources and relevant publications on the topic of the study, specifying the conceptual apparatus. The analysis of the requirements for designing a digital educational environ ment for training future computer science teachers in the context of AI implementation is carried out.
The system of components of the digital educational environment is formulated and substantiated. The authors propose a conceptual and predictive model of the digital educational environment, comprising six interrelated components: spatial-architectural, technological-instrumental, administrative-security, content-methodological, axiological-ethical, and competency-based. The emphasis is on the need to develop appropriate competencies in future computer science teachers in the field of AI to overcome the problem of the black box of AI, the importance of an ethical approach to AI use, the development of critical thinking, and ensuring the human-centeredness of education in the AI era. The authors conclude that one of the practical tools for updating approaches to training future computer science teachers in the AI era is a modern digital educational environment, which requires targeted design in accordance with new academic challenges.
Downloads
References
Bykov, V., & Burov, O. (2020). Digital Learning Environment: New Technologies and Requirements for Knowledge Seekers. Modern Information Technologies and Innovation Methodologies of Education in Professional Training: Methodology, Theory, Experience, Problems, (55), 11-22. DOI: https://doi.org/10.31652/2412-1142-2020-55-11-22
White Paper on AI Regulation in Ukraine: Vision of the Ministry of Digital Transformation. (2024).URL: https://storage.thedigital.gov.ua/files/d/9d/0bbc3a705c821a197bedfcdfe 00899d.pdf
Study on Digital and AI Literacy in Ukraine | Ministry of Digital Transformation. (2025). URL: https://osvita.diia.gov.ua/uploads/3/16241-doslidzenna_cifrovoi_ta_si_gramotnosti_v_ukraini_2025_pptx_pptx.pdf
Guidelines for the Implementation and Use of Artificial Intelligence Technologies in General Secondary Education Institutions (draft) | Ministry of Education and Science of Ukraine. (2024). 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
Kuzminska, O. H. (2020). Theoretical and Methodological Principles for Designing and Applying a Digital Educational Environment for Scientific Communication of Research Master’s Students [Doctoral dissertation in Pedagogical Sciences, specialty 13.00.10 «Information and Communication Technologies in Education», National University of Life and Environmental Sciences of Ukraine, State Institution «Taras Shevchenko Luhansk National University»]. URL: https://dspace.luguniv.edu.ua/xmlui/handle/123456789/6375
Morze, N., Umryk, M., & Strutynska, O. (2025). Transformation of Methodological Training of Future Computer Science Teachers in the Context of STEAM Education Implementation in the Age of Artificial Intelligence. Interdisciplinary Studies of Complex Systems, 26, 5-27. DOI: https://doi.org/10.31392/iscs.2025.26.5
Recommendations for the Responsible Implementation and Use of Artificial Intelligence Technologies in Higher Education Institutions | Ministry of Education and Science of Ukraine. (2025). URL: https://mon.gov.ua/staticobjects/mon/sites/1/news/2025/04/24/shi-v-zakladakh-vyshchoi-osvity-24-04-2025.pdf
Umryk, M. A., Morze, N. V., & Smyrnova-Trybulska, E. M. (2025). Development of Educators’ Competences in the Field of AI Use in the Digital Society. Electronic Scholarly Journal «Open Educational E-Environment of the Modern
University», 18, Article 18. DOI: https://doi.org/10.28925/2414-0325.2025.1813
Chumachenko, D., Mishkin, D., Andriienko, O., Krakovetskyi, O., Turuta, O., Dubno, O., Khrushchova, D., Kobryn, A., Avdieieva, T., Kravets, I., Herasymiak, V., Shabanov, O., Bystrytska, A., & the Ministry of Digital Transformation of Ukraine. (2024). Glossary of Terms in the Field of Artificial Intelligence. https://thedigital.gov.ua/storage/uploads/files/page/community/docs/Словник%20термінів%20у%20сфері%20ШІ%20(1).pdf
AI and education: Guidance for policy-makers | UNESCO. (2025a, April 14). URL: https://www.unesco.org/en/articles/ai-and-education-guidance-policy-makers
AI and education: Protecting the rights of learners | UNESCO. (2025b). URL: https://www.unesco.org/en/articles/ai-and-education-protecting-rights-learners
AI and the future of education: Disruptions, dilemmas and directions| UNESCO. (2025). URL: https://unesdoc.unesco.org/ark:/48223/pf0000395236
AI competency framework for students | UNESCO. (2024). URL: https://www.unesco.org/en/articles/aicompetency-framework-students
AI competency framework for teachers | UNESCO. (2024). URL: https://www.unesco.org/en/articles/aicompetency-framework-teachers
AI Learning Priorities for All K-12 Students|CSTA & AI4K12 (NY: Computer Science Teachers Association). (2025). NY: Computer Science Teachers Association. URL: https://csteachers.org/ai-priorities/
Artificial intelligence in education| UNESCO. (2025). URL: https://www.unesco.org/en/digital-education/artificial-intelligence?utm_source=chatgpt.com
Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. IEEE Access. DOI: https://doi.org/10.1109/ACCESS.2020.2988510
Chiu, T. K. F. (2024). Empowering K-12 Education with AI: Preparing for the Future of Education and Work. Routledge. DOI: https://doi.org/10.4324/9781003498377
DigComp 3.0 Consultation – AI Pioneers|EU. (2025, April 23). URL: https://aipioneers.org/digcomp-3-0-consultation/
Ethical guidelines on the use of artificial intelligence (AI) and data in teaching and learning for educators|EU. (2022). Publications Office of the European Union. DOI: https://data.europa.eu/doi/10.2766/153756
Ethics guidelines for trustworthy AI | Shaping Europe’s digital future|European Commission. (2019, April 8). URL: https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai
EU. (2025). Empowering Learners for the Age of AI. An AI Literacy Framework for Primary and Secondary Education(Review draft)| OECD. URL: https://ailiteracyframework.org/wp-content/uploads/2025/05/AILitFramework_ReviewDraft.pdf
Final report of the Commission expert group on artificial intelligence and data in education and training: A executive summary. (2022). Publications Office of the European Union. URL: https://data.europa.eu/doi/10.2766/65087
Future of Jobs Report 2025|WEF. (2025). URL: https://reports.weforum.org/docs/WEF_Future_of_Jobs_Report_2025.pdf
Gomes, B., Ibrahim, L., Matias, Y., Phillips, C., & Manyika, J. (2025). AI and the Future of Learning| Google. URL: https://services.google.com/fh/files/misc/future_of_learning.pdf
ISO/AWI 29999/ Education and learning services—Application of Artificial Intelligence (AI) Technology—Ethical Guidelines. (2025). ISO. URL: https://www.iso.org/standard/54668.html
Lindauer, S. (2024, June 18). AI Literacy: A Framework to Understand, Evaluate, and Use Emerging Technology. Digital Promise. URL: https://digitalpromise.org/2024/06/18/ai-literacy-a-framework-to-understandevaluate-and-use-emerging-technology/
Mikeladze, T., Meijer, P. C., & Verhoeff, R. P. (2024). A comprehensive exploration of artificial intelligence competence frameworks for educators: A critical review. European Journal of Education, 59(3), e12663. DOI: https://doi.org/10.1111/ejed.12663
Morozov, A., & Vakaliuk, T. (2021). An electronic environment of higher education institution (on the example of Zhytomyr Polytechnic State University). Journal of Physics: Conference Series, 1840, 012061. DOI: https://doi.org/10.1088/1742-6596/1840/1/012061
Morze, N., Smyrnova-Trybulska, E., & Umryk, M. (2015). Designing an e-university environment based on the needs of net-generation students. International Journal of Continuing Engineering Education and Life Long Learning, 25(4), 466-486. DOI: https://doi.org/10.1504/IJCEELL.2015.074230
Opportunities, guidelines and guardrails for effective and equitable use of AI in education|OECD-Education International. (2023). OECD Publishing. URL: https://www.oecd.org/content/dam/oecd/en/about/projects/edu/smart-data-and-digital-technology-in-education/Opportunities,%20guidelines%20and%20guardrails%20for%20effective%20and%20equitable%20use%20of%20AI%20in%20education.pdf?utm_source=chatgpt.com
Recommendation on the Ethics of Artificial Intelligence | UNESCO. (2024, Вересень 26). URL: https://www.unesco.org/en/articles/recommendation-ethics-artificial-intelligence
Regulating the use of artificial intelligence systems in education|Council of Europe. (2024). URL: https://rm.coe.int/regulating-the-use-of-ertificial-intelligence-systems-education-prepar/1680b29928
Schiff, D. (2022). Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies. International Journal of Artificial Intelligence in Education, 32(3), 527-563. DOI: https://doi.org/10.1007/s40593-021-00270-2
Shaping the Future of Learning: The Role of AI in Education 4.0|WEF. (2024). World Economic Forum. URL: https://www.weforum.org/publications/shaping-the-future-of-learning-the-role-of-ai-in-education-4-0/
Tan, X., Cheng, G., & Ling, M. H. (2025). Artificial intelligence in teaching and teacher professional development: A systematic review. Computers and Education: Artificial Intelligence, 8, 100355. DOI: https://doi.org/10.1016/j.caeai.2024.100355
Vuorikari, R., Kluzer, S., & Punie, Y. (2022). DigComp 2.2: The Digital Competence Framework for Citizens – With new examples of knowledge, skills and attitudes|EU. JRC Publications Repository. DOI: https://doi.org/10.2760/115376
Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252, 124167. DOI: https://doi.org/10.1016/j.eswa.2024.124167
