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Generative AI and education: dynamic personalization of pupils’ school learning material with ChatGPT
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The widespread use of generative AI tools like ChatGPT has seen significant growth. This rise prompted discussions on integrating these technologies into school education. However, the practical implementation, testing, and assessment of generative AI in primary and secondary education remained largely unexplored. This article examines the application of ChatGPT-3.5 and 4 in primary school education. A study involving 110 students aged 8–14 across grades 4–6 in two Uruguayan schools was conducted. The focus was on using generative AI for dynamic personalization of educational content during classroom lessons. In these sessions, instructional content followed the curriculum goals, and text, illustrations, and exercises were generated and dynamically adjusted based on generative AI. The findings indicate that generative AI effectively tailors school materials to match varying pupil knowledge levels. Real-time adjustments during lessons cater to individual learning needs, enhancing cognitive ergonomics. This approach not only boosts pupil motivation but also improves their performance, facilitating more effective achievement of the curriculum’s learning objectives. These results suggest a promising avenue for leveraging generative AI to personalize and optimize primary school education.
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“Some studies also integrate social-emotional and interdisciplinary tasks, where AI provides focused evaluations and follow-up recommendations that help students refine learning strategies and strengthen self-regulation [121,129,151].”
From A Systematic Review of Generative AI in K–12: Mapping Goals, Activities, Roles, and Outcomes via the 3P Model (2025) · cites this paper as [151]
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Cites
Ryan, R. M., & Deci, E. L. (2000) · American Psychologist · doi:10.1037//0003-066x.55.1.68 · Cited by 54,599
Intrinsic Motivation and Self-Determination in Human Behavior
Deci, E. L., & Ryan, R. M. (1985) · doi:10.1007/978-1-4899-2271-7 · Cited by 26,772
Flow: The Psychology of Optimal Experience
Buchanan, R., & Csíkszentmihályi, M. (1991) · Design Issues · doi:10.2307/1511458 · Cited by 9,449
ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · doi:10.35542/osf.io/5er8f · Cited by 7,552
ChatGPT for good? On opportunities and challenges of large language models for education
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences · doi:10.1016/j.lindif.2023.102274 · Cited by 7,326
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., et al. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102642 · Cited by 4,584
BAİDOO-ANU, D., & OWUSU ANSAH, L. (2023) · Journal of AI · doi:10.61969/jai.1337500 · Cited by 3,939
Flow: The Psychology of Optimal Experience
Mirvis, P. H., & Csikszentmihalyi, M. (1991) · Academy of Management Review · doi:10.2307/258925 · Cited by 3,758
Baidoo-Anu, D., & Owusu Ansah, L. (2023) · doi:10.2139/ssrn.4337484 · Cited by 3,004
The Oxford Handbook of Positive Psychology
(2009) · doi:10.1093/oxfordhb/9780195187243.001.0001 · Cited by 2,696
Research works printed but not linked: 8
- Cura, 2022, Challenges and opportunities for equality in education. Main barriers to accessing and using Ceibal tools for children and adolescents in Uruguay. Ceibal & UNICEF Uruguay: Montevideo
- Deci, 1995, Why we do what we do: The dynamics of personal autonomy
- 2023, Digital learning environments for all contexts
- 2023, Search engine results for trending with “AI”, “artificial intelligence”, ChatGPT, bard, Google AI
- Haselton, 2005, The evolution of cognitive bias, 724
- Paulino, 2021, Winning attention: a Q & a with Antonis Kocheilas, CEO of Ogilvy Advertising. Ogilvy
- Roose, 2023, Don’t ban ChatGPT in schools. Teach with it. New York Times
- 2022, Protecting children from the harmful impact of food marketing: policy brief
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Langill, T. A., & van Houten, M. M. (2026) · Education Innovations Systems and Future Learning · doi:10.1108/eisfl-11-2025-0053 · Cited by 2
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Nuryadin, A., Karlimah, K., & Nugraha, M. R. (2026) · Participatory Educational Research · doi:10.17275/per.26.27.13.2
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Hribernik, M. (2026) · Revija Inovativna pedagogika · doi:10.63069/fejhmk57
Guan, T., Chew, R. S. Y., Wen, X., & Fu, X. (2026) · Journal of Teaching in Physical Education · doi:10.1123/jtpe.2025-0055
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Silva, L. D. S. B., IDDAR, A., ENGELMANN, C., Ribeiro, C. A., de Arruda, E. F., Costa, K. S. D. S., da Silva, M. V., SILVEIRA, R. L., de Lima, R. É. B., & de Sena, S. B. (2026) · Aurum Editora eBooks · doi:10.63330/aurumpub.062-011
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Haruta, T., Umezaki, Y., MATSUNAGA, Y., Oda, M., Arai, K., & Okazaki, Y. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-24807-7_27
Aziz, S. A., Jupri, A., & Rani, M. M. (2026) · JURNAL PENDIDIKAN MATEMATIKA (KUDUS) · doi:10.21043/jpmk.v9i1.36714
Kotsis, K. Τ. (2026) · European Journal of Contemporary Education and E-Learning · doi:10.59324/ejceel.2026.4(4).07
Kamila, U. M., Yasin, A., Rochmat, C. S., & Maulaya, R. D. (2026) · Priviet Social Sciences Journal · doi:10.55942/pssj.v6i8.2026
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Alam, A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-9169-4.ch004
GenEdu: Personalized Learning with Retrieval-Augmented Generative AI and Dual-Layer Evaluation
Frigui, R., & Rezgui, K. (2026) · International Conference on Control, Decision and Information Technologies (CoDIT) · doi:10.1109/codit70676.2026.11631071
Cultura, J. F., Castilla, T. T. M., Grafil, J. E., & Cagulada, C. S. (2026) · International Conference on e-Education, e-Business, e-Management and e-Learning · doi:10.1109/ic4e69618.2026.11631626
Exploring awareness and use of AI tools among university teachers in Nepal: a qualitative study
Chapai, K. P. S., Kandel, R. K., & Joshi, D. R. (2026) · Cogent Education · doi:10.1080/2331186x.2026.2715835
Metadata
- Authors
- Jauhiainen, J. S., & Garagorry Guerra, A.
- Affiliations
- University of Turku (FI)
- Corresponding author
- Jauhiainen, Jussi S.
- ORCID
- Jauhiainen, Jussi S.
- Venue
- Frontiers in Education
- Publisher
- Frontiers Media SA
- Published
- 2024-11-19
- Volume
- 9
- ISSN
- 2504-284X (ISSN-L)
- OpenAlex
- W4404509460
- Cited by
- 87
- References
- 46
- Citations by year
- 2026: 54 · 2025: 32 · 2024: 1
- FWCI
- 32.58
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Education (publishedVersion, cc-by)
- UTUPub (University of Turku) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Turun Yliopisto
- Business Finland
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- generative AI in education, ChatGPT, personalized learning, primary education, ChatGPT-4, student motivation, student performance, cognitive ergonomics, curriculum-based instruction, AI-generated educational content
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