The article analyzes the international experience of using artificial intelligence (AI) technologies in primary school computer science. The purpose of the study is to identify effective methods of using AI tools in primary education in world practice and to study the possibilities of their implementation in domestic pedagogy. More than 50 scientific works published during 2019-2025, international reports and reports of organizations such as UNESCO and the World Bank were used as research materials. The article provides a comparative analysis of the experience of using AI in primary grades in the USA, Great Britain, Singapore, China, Finland and Kazakhstan, describes interactive platforms, adaptive learning systems and robotics elements introduced into the educational process. The research results show that AI technologies positively influence the development of logical thinking, algorithmic skills and creative potential of students. In particular, the «AI4K» program in Singapore, the «Machine Learning for Kids» project in the UK and the «Elements of AI» course in Finland are successful models for teaching the basics of AI to primary school students. The article also discusses the main difficulties and limitations of introducing AI into primary education, including teacher training, infrastructure resources and data protection. Based on the research results, recommendations were developed for introducing AI elements into the primary school computer science course in Kazakhstan.
MURATOVA М.М.
Master’s student, K.Zhubanov Aktobe regional university, Aktobe, Kazakhstan
E-mail: mldrmm04@gmail.com, https://orcid.org/0009-0001-2043-2455
BAIGANOVA А.М.
Candidate of pedagogical sciences, docent, K.Zhubanov Aktobe regional university, Aktobe, Kazakhstan
E-mail: altynzer_70@mail.ru, https://orcid.org/0000-0001-5717-8422
- Luckin, R., Holmes, W., Griffiths, M., & Forcier, L.B. Intelligence Unleashed: An argument for AI in Education. Pearson, London, 2016. 88 p.
- UNESCO. AI and Education: Guidance for Policy-makers. UNESCO Publishing, Paris, 2023. 98 p.
- World Economic Forum. The Future of Jobs Report 2023. WEF, Geneva, 2023. 297 p.
- Ng, D.T.K., Leung, J.K.L., Chu, S.K.W., & Qiao, M.S. Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence. 2021. Vol. 2. P. 100041. DOI: https://doi.org/10.1016/j.caeai.2021.100041
- AI Singapore. AI4K Programme: Building the Next Generation of AI Talents. Technical Report, 2022. 45 p.
- Lane, D. Machine Learning for Kids: A Project-based Introduction to Artificial Intelligence. No Starch Press, San Francisco, 2021. 312 p.
- Breazeal, C., Dautenhahn, K., & Kanda, T. Social robotics. Springer Handbook of Robotics. 2019. P. 1935-1972. DOI: https://doi.org/10.1007/978-3-319-32552-1_72
- Zawacki-Richter, O., Marin, V.I., Bond, M., & Gouverneur, F. Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education. 2019. Vol. 16. P. 1-27. DOI: https://doi.org/10.1186/s41239-019-0171-0
- Laakso, M.J., Kaila, E., & Rajala, T. Elements of AI: A MOOC for Understanding the Basics of Artificial Intelligence. Proceedings of the 22nd Koli Calling International Conference on Computing Education Research. 2022. P. 1-5.
- Қазақстан Республикасы Білім және ғылым министрлігі. «Цифрлық Қазақстан» мемлекеттік бағдарламасы шеңберінде білім беруді цифрландыру жөніндегі жол картасы. Астана, 2022. 156 б.
- Holmes, W., Bialik, M., & Fadel, C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign, Boston, 2019. 178 p.
- Holland, J.G., Mitrovic, A., & Martin, B. Artificial intelligence in education: The state of the art. International Journal of Artificial Intelligence in Education. 2021. Vol. 31. P. 221-236.
- Long, D., & Magerko, B. What is AI literacy? Competencies and design considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 2020. P. 1-16.
