A Comprehensive Synthesis of Artificial Intelligence in Early Learning Across International Educational Collaborations
DOI:
https://doi.org/10.24256/tunascendekia.v9i1.12982Keywords:
Artificial intelligence, Early childhood education;, International educational collaboration, Systematic literature review, Educational technologyAbstract
As generative platforms, embodied robotics, and conversational voice agents enter early childhood environments spanning birth through age eight, a fundamental tension emerges between automated technological deployment and the relational core of early learning centered on play-based inquiry, child agency, and educator care. Addressing this socio-technical dynamic requires evaluating how international educational collaboration shapes early childhood artificial intelligence applications across national contexts. Guided by Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) protocols, systematic literature searches executed across Scopus, Web of Science, IEEE Xplore, ERIC, and ACM DL databases through October 2026 covering publications from 2015 to 2026 yielded an audited review corpus of thirty verified sources (N = 20). This evidence base comprises twenty primary empirical studies classified into four distinct evidence layers: direct cross-national co-design, cross-border comparative implementations, single-jurisdiction regional trials, and non-digital collaborative capacity frameworks alongside ten secondary contextual reviews. Empirical synthesis reveals that international research partnerships move beyond routine tool distribution to establish joint pedagogical co-design, cross-cultural benchmarking, and ethnopedagogical capacity-building networks. At the classroom level, interactive artificial intelligence tools reconfigure young children's imaginative play, expanding multimodal storytelling, foundational technical literacy, and social-emotional scaffolding for neurodiverse learners. However, these pedagogical possibilities exist alongside significant operational obstacles, including widespread educator anxiety regarding technical deskilling, algorithmic surveillance, loss of instructional autonomy, and severe physical infrastructure deficits in low-resource settings. Methodological distribution indicates that single-jurisdiction regional trials constitute fifty-five percent of empirical literature, cross-national comparative implementations account for twenty-five percent, non-digital collaborative capacity initiatives constitute fifteen percent, and direct joint co-design interventions comprise five percent. This synthesis establishes a human-centered, multi-layer framework that links macro-level international collaboration architectures with micro-level classroom interactions, offering researchers, educators, and technology policymakers a structured path to safeguard child agency and relational care within digital learning implementations.
References
Acar, E., Deiri, Y., & Yigit, F. (2025). A focused review of artificial intelligence in education: Evolution and challenges. Journal of Interdisciplinary Research in Artificial Intelligence and Society, 1(1), Article 3. https://doi.org/10.20897/jirais/17640
Aktaş, S. D. (2026). Determination of teachers' perceptions of artificial intelligence concept: A metaphor analysis. Sakarya University Journal of Education, 16(1), 145–162. https://doi.org/10.19126/suje.1433360
Alghufali, B. R. (2025). Impact of artificial intelligence and robotics on early childhood education: A framework-based approach utilizing the Five Big Ideas model. Journal of Educational and Human Sciences, 47, 935–951. https://doi.org/10.55074/hesj.vi47.1462
Arbour, M., Servili, C., & World Health Organization Team. (2016). Improving quality of early childhood education through international collaborative coaching and professional development. Early Childhood Education Journal, 44(6), 615–627.
Bakala, E., Gerosa, A., Hourcade, J. P., & Tejera, G. (2021). Preschool children, robots, and computational thinking: A systematic review. International Journal of Child-Computer Interaction, 29, Article 100337. https://doi.org/10.1016/j.ijcci.2021.100337
Bilgener, G. (2026). Between technical rationality and relational labor: A technofeminist analysis of preservice preschool teachers' AI perceptions and metaphors. European Journal of Education Studies, 13(11). https://oapub.org/edu/index.php/ejes/article/view/7070
Chen, J. J., & Li, H. (2025). AI and the developing child: Ethical and conceptual considerations, and practical frameworks for early childhood education. AI, Brain and Child, 1(1), Article 16. https://doi.org/10.1007/s44436-025-00016-0
Chen, J. J. (2024). A scoping study on AI affordances in early childhood education: Mapping the global landscape, identifying research gaps, and charting future research directions. Journal of Artificial Intelligence Research, 81, 1245–1288.
Cohrssen, C., Madanipour, P., Guarrella, C., Chen, M. Y., & Park, S. (2026). AI literacy for AI natives? A four-country comparison. AI, Brain and Child, 2(1), Article 21. https://doi.org/10.1007/s44436-026-00045-3
Demirdiş, B. (2026). Latent profiles of Turkish pre-service teachers' attitudes toward artificial intelligence. Bartın University Journal of Faculty of Education, 15(1), 197–215. https://doi.org/10.14686/buefad.1710784
Gordon, G., Spaulding, S., Kory Westlund, J. M., & Breazeal, C. (2016). Affective personalization of a social robot tutor for children's second language skills. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1), 9951–9958.
Gunawan, G., Suranti, N. M. Y., Imran, I., Herayanti, L., Arizona, K., & Yahya, F. (2026). Synergy of technology and pedagogy: A review of modern learning media in primary education. Indonesian Journal of Early Childhood Education, 7(2), 85–96. https://doi.org/10.67434/ijece.v7i2.1980
Hari, D., Kerneža, M., Zemljak, D., & Flogie, A. (2025). Learning with AlphaMini: Enhancing engagement in elementary classrooms through social robots. Proceedings of ICERI2025, 455–463. https://doi.org/10.21125/iceri.2025.0455
Hong, Q. N., Pluye, P., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., Dagenais, P., Gagnon, M.-P., Griffiths, F., Nicolau, B., O’Cathain, A., Rousseau, C., & Vedel, I. (2018). Mixed Methods Appraisal Tool (MMAT), version 2018. Canadian Intellectual Property Office, Industry Canada.
Hussein, E., Hussein, M., & Al-Hendawi, M. (2025). Investigation into the applications of artificial intelligence (AI) in special education: A literature review. Social Sciences, 14(5), Article 288. https://doi.org/10.3390/socsci14050288
Irgens, G. A., Bailey, C., Famaye, T., & Behboudi, A. (2024). User experience testing and co-designing a digital game for broadening participation in computing with and for elementary school children. International Journal of Child-Computer Interaction, 42, Article 100699. https://doi.org/10.1016/j.ijcci.2024.100699
Jaramillo, J., & Chiappe, A. (2026). Value-based teaching practices in cultural contexts: A systematic review. Cogent Education, 13(1), Article 2697519. https://doi.org/10.1080/2331186X.2026.2697519
Kewalramani, S., Kidman, G., & Palaiologou, I. (2021). Using artificial intelligence (AI)-interfaced robotic toys in early childhood settings: A case for children's inquiry literacy. European Early Childhood Education Research Journal, 29(5), 652–668. https://doi.org/10.1080/1350293X.2021.1968458
Kewalramani, S., Palaiologou, I., Arnott, L., & Dardanou, M. (2020). The integration of the Internet of Toys in early childhood education: A platform for multi-layered interactions. European Early Childhood Education Research Journal, 28(2), 197–213. https://doi.org/10.1080/1350293X.2020.1735738
Kewalramani, S., Palaiologou, I., Dardanou, M., Allen, K.-A., & Phillipson, S. (2021). Using robotic toys in early childhood education to support children's social and emotional competencies. Australasian Journal of Early Childhood, 46(4), 355–369. https://doi.org/10.1177/18369391211056668
Kurian, N., Girouard-Hallam, L. N., & Danovitch, J. H. (2026). Affordances and constraints of child-voice agent interaction: A scoping review. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2026.2658256
Lim, E. M. (2024). Metaphor analysis on preservice early childhood teachers' conception of AI (artificial intelligence) education for young children. Thinking Skills and Creativity, 51, Article 101455. https://doi.org/10.1016/j.tsc.2023.101455
Massaty, M. H., & Fahrurozi, S. K. (2024). The role of AI in fostering computational thinking and self-efficacy in educational settings: A systematic review. Indonesian Journal of Informatics Education, 8(1), 49–61. https://doi.org/10.20961/ijie.v8i1.89596
Mwoma, T., Begi, N., & Murungi, C. (2018). Safety and security in preschools: A challenge in informal settlements. Issues in Educational Research, 28(3), 720–736.
Ogegbo, A. A., & Aina, O. A. (2020). Early childhood development teachers' perceptions on the use of technology in teaching young children. South African Journal of Childhood Education, 10(1), Article a880. https://doi.org/10.4102/sajce.v10i1.880
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, Article n71. https://doi.org/10.1136/bmj.n71
Palaiologou, I., Kewalramani, S., & Dardanou, M. (2021). Make-believe play with the Internet of Toys: A case for multimodal playscapes. British Journal of Educational Technology, 52(6), 2100–2117. https://doi.org/10.1111/bjet.13110
Papadakis, S. (Ed.). (2025). AI in early education: Integrating artificial intelligence for inclusive and effective learning. John Wiley & Sons. https://doi.org/10.1002/9781394352821
Rupnik, D., & Avsec, S. (2025). Toward a coherent AI literacy pathway in technology education: Bibliometric synthesis and cross-sectional assessment. Education Sciences, 15(11), Article 1455. https://doi.org/10.3390/educsci15111455
Saal, P. E., Chetty, K., Ntshayintshayi, N., Moosa, T., & Masuku, N. (2025). Exploring basic programming education in primary schools as a foundation for introducing artificial intelligence, augmented reality, and educational robotics. Jurnal Applied Informatics and Computing, 10(3), 2269–2279. https://doi.org/10.30871/jaic.v10i3.12712
Sakti, S. A., Endraswara, S., & Rohman, A. (2024). Revitalizing local wisdom within character education through ethnopedagogy approach: A case study on a preschool in Yogyakarta. Heliyon, 10(10), Article e31370. https://doi.org/10.1016/j.heliyon.2024.e31370
Su, J., & Yang, W. (2022). Artificial intelligence in early childhood education: A scoping review. Computers and Education: Artificial Intelligence, 3, Article 100049. https://doi.org/10.1016/j.caeai.2022.100049
Su, J., & Yang, W. (2024a). Artificial intelligence (AI) literacy in early childhood education: An intervention study in Hong Kong. Interactive Learning Environments, 32(9), 5494–5508. https://doi.org/10.1080/10494820.2023.2217864
Su, J., & Yang, W. (2024b). Artificial intelligence in early childhood education: A systematic review of trends, methods, and recommendations for quality education. European Early Childhood Education Research Journal. https://doi.org/10.1080/1350293X.2026.2651904
Su, J., Ng, D. T. K., & Chu, S. K. W. (2023). Artificial intelligence (AI) literacy in early childhood education: The challenges and opportunities. Computers and Education: Artificial Intelligence, 4, Article 100124. https://doi.org/10.1016/j.caeai.2023.100124
UNESCO Global Education Monitoring Report Team. (2026). Systematic review of early childhood and pre-primary education (GEM Report Background Paper ED/GEMR/MRT/2026/BP/02). UNESCO Digital Library.
Yang, C. (2026). Artificial intelligence-supported innovation in early childhood education: A literature-based review of development pathways and challenges. Journal of Advanced Research in Applied Sciences and Engineering Technology, 62(5), 1838–1852. https://semarakilmujournal.com.my/index.php/araset/article/view/337
Yang, W., Hu, X., Yeter, I. H., Su, J., Yang, Y., & Lee, J. C.-K. (2024). Artificial intelligence education for young children: A case study of technology-enhanced embodied learning. Journal of Computer Assisted Learning, 40(2), 465–477. https://doi.org/10.1111/jcal.12892
Yılmaz-Bursa, G. (2025). Generative artificial intelligence and preschool education activities: Ethical, pedagogical, and applied approaches. Journal of Innovative Research in Teacher Education, 6(2), 91–102. https://doi.org/10.29329/jirte.2025.1341.4https://doi.org/10.29329/jirte.2025.1341.4
Zhang, S., Zou, B., Liu, Y., Chen, Z., & Yan, R. (2026). Impacts of artificial intelligence on willingness to communicate and its key antecedents in EFL contexts: A systematic review (2015–2026). Frontiers in Education, 11, Article 1927432. https://doi.org/10.3389/feduc.2026.1927432
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