AI-didactics: a new trend or evolution of the learning process?
https://doi.org/10.26795/2307-1281-2025-13-2-5
Abstract
Introduction. The author substantiates the relevance of this topic in the context of the rapid development of technology and its impact on education. The article examines current trends in the modern education system related to the use of artificial intelligence (AI) in the learning process. The author explores a new direction in pedagogical science – didactics, analyzes the prospects of this direction and discusses whether this is a new trend or represents an evolutionary stage in the development of the educational system. The purpose of the publication is a theoretical substantiation and empirical analysis of the GII's capabilities for planning and implementing the learning process. The article also raises issues related to the ethics of the use of GAI in the educational process, which are fundamental in studying the problem of the use of GAI in education.
Materials and methods. A set of methods are used to analyze these problems, including the analysis of scientific publications on the use of GAI in education, as well as examples of successful projects and practices. The author reviews the existing approaches and methods used in the field of didactics both abroad and in domestic universities.
Results. As practical research results, the article provides an overview of technological solutions that act as modern means of AI didactics: LMS, digital assistants, chatbots with integrated AI. The author also suggests some didactic methods and techniques that will allow us to build a modern educational process in the paradigm of AI-didactics. As a result of the research, the author comes to the conclusion that the use of GAI in the didactic process can lead to increased learning efficiency, personalization of the educational process and the development of new forms of interaction between students and teachers. However, the author also notes that the introduction of AI requires a professional approach and compliance with ethical rules from a modern teacher who is ready to adapt to existing realities.
Discussion and conclusions. In conclusion, the author discusses the prospects for the development of didactics and its impact on the future of education. It is emphasized that the use of GAI can become an important stage in the evolution of the learning process, contributing to its adaptation to the changing conditions and needs of modern society.
Keywords
About the Author
T. A. ChekalinaRussian Federation
Tatiana A. Chekalina – Candidate of Pedagogical Sciences, Associate Professor of the Department of Media Education, Moscow Pedagogical State University.
Moscow
References
1. Abramova A. V., Ignat'ev A. G., Panova M. S. Ethics in the field of artificial intelligence – from discussion to scientific justification and practical application: analytical report. Moscow, 2021. 24 p. Available at: https://mgimo.ru/upload/2021/10/aicentre-report.pdf?ysclid=m45f86zfmy419721710 (accessed: 02.01.2025). (In Russ.)
2. Teaching assistant. Available at: https://edu-assist.me/?ysclid=m5gl8cavyb879856270 (accessed: 02.01.2025). (In Russ.)
3. Basanov R. A. Application of artificial intelligence in the educational process: preparing future teachers to use AI in educational practice. Vestnik SKU im. M. Kozybaeva, 2024, no. 2 (62), pp. 67-74, doi: 10.54596/2958-0048-2024-2-67-74. (In Russ.)
4. White paper “Artificial Intelligence and Education. Briefly about what is happening”. Available at: https://method.gsom.spbu.ru/white-book-ai (accessed: 02.01.2025). (In Russ.)
5. Generative Artificial Intelligence for a Teacher: Strategies, Tools, Ethics. Available at: https://telegra.ph/Artyom-Feshchenko-o-programme-povysheniya-kvalifikacii-Generativnyj-iskusstvennyj-intellekt-dlya-prepodavatelya-strategii-instru-04-22?ysclid=majy6xp528317348169 (accessed: 02.01.2025). (In Russ.)
6. Gluzdov D. V. Philosophical and anthropological foundations of the interaction of artificial and natural intelligence. Vestnik Mininskogo universiteta, 2022, vol. 10, no. 4, p. 15. (In Russ.)
7. Didactic concept of digital professional education and training / P. N. Bilenko, V. I. Blinov, M. V. Dulinov [et al.]; under scientific ed. V. I. Blinov. Moscow, Pero Publ., 2019. 97 p. (In Russ.)
8. Zaharova O. I., Bednyak S. G. Features of the organization of the educational process using artificial intelligence technologies. Vestnik nauki, 2024, vol. 2, no. 5 (74), pp. 692-696. (In Russ.)
9. Ivanova L. A., Kazakova O. A., Reshetin A. A. IT technologies and software for the educational process in physical education and sports in universities. Koncept, 2024, no. 5. Available at: https://cyberleninka.ru/article/n/it-tehnologii-i-programmnoe-obespechenie-obrazovatelnogo-protsessa-po-fizicheskoy-kulture-i-sportu-v-vuzah (accessed: 02.01.2025). (In Russ.)
10. AI Challenge to the Education System. Available at: https://clck.ru/3Lzmif (accessed: 02.01.2025). (In Russ.)
11. Artificial Intelligence in Education. Available at: https://clck.ru/3M3Zhm (accessed: 02.01.2025). (In Russ.)
12. Artificial Intelligence in Education. Available at: https://obr.so/tpost/c8ftgf0jd1-iskusstvennii-intellekt-v-obrazovanii?ysclid=majye5zvqt396988188 (accessed: 02.01.2025). (In Russ.)
13. Artificial Intelligence: Ethical Issues. Available at: https://www.unesco.org/ru/articles/iskusstvennyy-intellekt-eticheskie-problemy-0 (accessed: 02.01.2025). (In Russ.)
14. How and in what AI can help a teacher. Available at: https://method.gsom.spbu.ru/tpost/2gxudzhid1-kak-i-v-chyom-prepodavatelyu-mozhet-pomo (accessed: 02.01.2025). (In Russ.)
15. How artificial intelligence is changing the field of education. Available at: https://softline.ru/about/blog/kak-iskusstvennyj-intellekt-menyaet-sferu-obrazovaniya (accessed: 02.01.2025). (In Russ.)
16. How artificial intelligence can help in education. Available at: https://developers.sber.ru/help/gigachat-api/education-with-ai (accessed: 02.01.2025). (In Russ.)
17. Code of Ethics in the Sphere of AI. Available at: https://ethics.a-ai.ru/ (accessed: 02.01.2025). (In Russ.)
18. Electronic Course Constructor. Available at: https://files.lanbook.com/attachments/06092023/constructor.pdf (accessed: 02.01.2025). (In Russ.)
19. Concept for the Development of Regulation of Relations in the Sphere of Artificial Intelligence and Robotics Technologies for the Period up to 2024. Available at: https://spa.msu.ru/wp-content/uploads/38.pdf (accessed: 02.01.2025). (In Russ.)
20. Summer School 2024. Sudden Future. How to teach in the era of artificial intelligence and fast content. Available at: https://method.gsom.spbu.ru/summerschool-2024?ysclid=majyhw4ahw593702882 (accessed: 02.01.2025). (In Russ.)
21. Can AI replace a teacher at a university. Available at: https://skillbox.ru/media/education/mozhet-li-ii-zamenit-prepodavatelya-v-vuze-intervyu-o-rezultatah-serii-eksperimentov/ (accessed: 02.01.2025). (In Russ.)
22. Will write a course, come up with questions: 5 tasks of a course developer that will be solved by AI in iSpring Page. Available at: https://www.ispring.ru/elearning-insights/ispring-page-ai (accessed: 02.01.2025). (In Russ.)
23. National Strategy for the Development of Artificial Intelligence through 2030. Available at: https://ai.gov.ru/national-strategy/ (accessed: 02.01.2025). (In Russ.)
24. Neural Networks and Artificial Intelligence: What Will the EBS of Tomorrow Look Like? Available at: https://www.unkniga.ru/innovation/tehnology/12376-neyronnye-seti-i-iskusstvenniy-intellekt-kakoy-predstaet-ebs-zavtrashnego-dnya.html (accessed: 02.01.2025). (In Russ.)
25. Resolution "Using the Capabilities of Safe, Secure, and Reliable AI Systems for Sustainable Development." Available at: https://clck.ru/3M3ZqY (accessed: 02.01.2025). (In Russ.)
26. Sogomonov A. YU. Artificial Intelligence in University Didactics as a Challenge to the Philosophy of Education and Professional Ethics. Vedomosti prikladnoj etiki, 2024, no. 1 (63). Available at: https://cyberleninka.ru/article/n/iskusstvennyy-intellekt-v-universitetskoy-didaktike-kak-vyzov-filosofii-obrazovaniya-i-professionalnoy-etike (accessed: 02.01.2025). (In Russ.)
27. Sokolov N. V., Vinogradskij V. G. Artificial intelligence in education: analysis, prospects and risks in the Russian Federation. Problemy sovremennogo pedagogicheskogo obrazovaniya, 2022, no. 76-2. Available at: https://cyberleninka.ru/article/n/iskusstvennyy-intellekt-v-obrazovanii-analiz-perspektivy-i-riski-v-rf (accessed: 02.01.2025). (In Russ.)
28. TSU will conduct a training on AI and big data in pedagogical design for Russian universities. Available at: https://www.riatomsk.ru/article/20240929/tgu-provedet-dlya-vuzov-rf-trening-po-ii-i-big-data-v-peddizajne/ (accessed: 02.01.2025). (In Russ.)
29. Ethics in the field of artificial intelligence. Available at: https://cs.hse.ru/aicenter/ethics (accessed: 02.01.2025). (In Russ.)
30. Belaid L., Mâță, L. Revolutionizing AI in Education: A Review of Ethical Challenges and Frontiers. Journal of Innovation in Psychology, Education and Didactics, 2024, vol. 28, no. 2, pp. 165-174.
31. Chen Z. Artificial Intelligence-Virtual Trainer: Innovative Didactics Aimed at Personalized Training Needs. Journal of the Knowledge Economy, 2023, vol. 14, pp. 2007-2025. Available at: https://link.springer.com/content/pdf/10.1007/s13132-022-00985-0.pdf (accessed: 02.01.2025).
32. Fallacara G., Costantino D., Cavaliere I. The challenge of contemporary architecture didactics: Designing in dialogue with Artificial Intelligence. SHS Web of Conferences, 2024, vol. 198, doi: 10.1051/shsconf/202419802001.
33. Landes D., Sedelmaier Y., Böck F., et al. Combining Data- and Knowledge-Driven AI with Didactics for Individualized Learning Recommendations. Proceedings of the 15th IEEE World Conference on Engineering Education (EDUCON 2024). Kos, Griechenland, 2024.
34. Stadelmann T., Keuzenkamp J., Grabner H., Würsch C. The AI-Atlas: Didactics for Teaching AI and Machine Learning On-Site, Online, and Hybrid. Education sciences, 2021, vol. 11, p. 318. Available at: https://www.mdpi.com/2227-7102/11/7/318/pdf?version=1624630777 (accessed: 02.01.2025).