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Abstract

This paper explores the intersection of early childhood education and AI, with a focus on promoting play, imagination, and creativity. The post-digital era has made technology a constant presence in our lives, and AI has enabled new and innovative ways of interacting with technology. However, it's important to ensure that the use of AI in early childhood education aligns with the core principles of early childhood pedagogy. Intelligence augmentation (IA) can play a significant role in promoting multimodal creative inquiry among young students, supporting critical thinking, problem-solving, and creativity. Drawing from practitioner research in preschool settings, we explore the potential of an AI-powered music-making tool to promote creativity and self-expression. The human-in-the-loop approach is crucial in aligning AI integration with early childhood pedagogy, ensuring that technology is used to support, rather than replace, teachers' role in the classroom. The paper highlights the importance of maintaining a human presence in the learning process to create educational experiences that are developmentally appropriate and transformative for young children.

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References

  1. Shani, C., Libov, A., Tolmach, S., Lewin-Eytan, L., Maarek, Y., Shahaf, D.: Alexa, do you want to build a snowman?” Characterizing playful requests to conversational agents. In: Conference on Human Factors in Computing Systems - Proceedings. Association for Computing Machinery (2022). https://doi.org/10.1145/3491101.3519870

  2. Kucirkova, N., Hiniker, A.: Parents’ ontological beliefs regarding the use of conversational agents at home: resisting the neoliberal discourse. Learn Media Technol. (2023). https://doi.org/10.1080/17439884.2023.2166529

    Article  Google Scholar 

  3. Hoffman, A., Owen, D., Calvert, S.L.: Parent reports of children’s parasocial relationships with conversational agents: trusted voices in children’s lives. Hum. Behav. Emerg. Technol. 3, 606–617 (2021). https://doi.org/10.1002/hbe2.271

    Article  Google Scholar 

  4. UNESCO: Early Childhood Care and Education (2023). https://www.unesco.org/en/early-childhood-education/need-know

  5. Prentzas, J.: Artificial intelligence methods in early childhood education. Stud. Comput. Intell. 427 (2013). https://doi.org/10.1007/978-3-642-29694-9_8

  6. Su, J., Yang, W.: Artificial intelligence in early childhood education: a scoping review. Comput. Educ.: Artif. Intell. 3 (2022). https://doi.org/10.1016/j.caeai.2022.100049

  7. Williams, R., Park, H.W., Oh, L., Breazeal, C.: PopBots: designing an artificial intelligence curriculum for early childhood education. In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 (2019)

    Google Scholar 

  8. Kim, D.-H.: An analysis of early childhood teachers’ current status and awareness of using artificial intelligence. J. Korea Open Assoc. Early Childhood Educ. 27 (2022). https://doi.org/10.20437/koaece27-1-07

  9. Su, J., Ng, D.T.K.: Artificial intelligence (AI) literacy in early childhood education: the challenges and opportunities. Comput. Educ.: Artif. Intell. (2023). https://doi.org/10.1016/j.caeai.2023.100124

    Article  Google Scholar 

  10. Su, J., Zhong, Y.: Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions. Comput. Educ.: Artif. Intell. 3 (2022). https://doi.org/10.1016/j.caeai.2022.100072

  11. Sadam, K.: Implementation of AI pop bots and its allied applications for designing efficient curriculum in early childhood education. Art. Int. J. Early Childhood Spec. Educ. (2022). https://doi.org/10.9756/INT-JECSE/V14I3.271

    Article  Google Scholar 

  12. Kewalramani, S., Kidman, G., Palaiologou, I.: Using Artificial Intelligence (AI)-interfaced robotic toys in early childhood settings: a case for children’s inquiry literacy. Eur. Early Child. Educ. Res. J. 29, 652–668 (2021). https://doi.org/10.1080/1350293X.2021.1968458

    Article  Google Scholar 

  13. Ruiz, P., Fusco, J.: Teachers partnering with artificial intelligence: augmentation and automation. (2022). https://digitalpromise.org/2022/07/06/teachers-partnering-with-artificial-intelligence-augmentation-and-automation/

  14. Welch, G.F.: The challenge of ensuring effective early years music education by non-specialists. Early Child Dev Care. 12, 1972–1984 (2021). https://doi.org/10.1080/03004430.2020.1792895

    Article  Google Scholar 

  15. Kirby, A.L., Dahbi, M., Surrain, S., Rowe, M.L., Luk, G.: Music uses in preschool classrooms in the U.S.: a multiple-methods study. Early Child Educ. J. 51, 515–529 (2023). https://doi.org/10.1007/s10643-022-01309-2

  16. Young, S.: Early childhood music education research: an overview. Res. Stud. Music Educ. 38, 9–21 (2016)

    Article  Google Scholar 

  17. Nieuwmeijer, C., Marshall, N., van Oers, B.: Musical play in the early years: the impact of a professional development programme on teacher efficacy of early years generalist teachers. Res. Pap. Educ. (2021). https://doi.org/10.1080/02671522.2021.1998207

    Article  Google Scholar 

  18. Foo, B.: Citizen DJ. (2020). https://citizen-dj.labs.loc.gov/

  19. Ackermann, E.: Piaget’s constructivism, Papert’s constructionism: what’s the difference? Future of learning group publication 5, (2001). http://learning.media.mit.edu/content/publications/EA.Piaget_Papert.pdf

  20. Lodi, M., Martini, S.: Computational thinking, between papert and wing. Sci. Educ. (Dordr). 30 (2021). https://doi.org/10.1007/s11191-021-00202-5

  21. Marsh, J., Plowman, L., Yamada-Rice, D., Bishop, J., Scott, F.: Digital play: a new classification. Early Years 36, 242–253 (2016). https://doi.org/10.1080/09575146.2016.1167675

    Article  Google Scholar 

  22. Disney, L., Geng, G.: Investigating young children’s social interactions during digital play. Early Child Educ. J. 50, 1449–1459 (2022). https://doi.org/10.1007/s10643-021-01275-1

  23. Berson, I.R., Murcia, K., Berson, M.J., Damjanovic, V., McSporran, V.: Tangible digital play in Australian and U.S. preschools. Kappa Delta Pi record 55, 78–84 (2019). https://doi.org/10.1080/00228958.2019.1580986

  24. Arnott, L., Yelland, N.J.: Multimodal lifeworlds: pedagogies for play inquiries and explorations. J. Early Childhood Educ. Res. 9, 124–146 (2020)

    Google Scholar 

  25. Arnott, L., Palaiologou, I., Gray, C.: Digital and multimodal childhoods: exploration of spaces and places from pedagogy and practice. Global Stud. Childhood 9, 271–274 (2019). https://doi.org/10.1177/2043610619885464

    Article  Google Scholar 

  26. Penuel, W.R., Fishman, B.J., Cheng, B., Sabelli, N.: Developing the area of design-based implementation research. SRI International, Menlo Park (2011)

    Google Scholar 

  27. McKay, S.: Quality improvement approaches: Design-based implementation research. Carnegie Foundation Blog (2017). https://www.carnegiefoundation.org/blog/quality-improvement-approaches-design-based-implementation-research/

  28. Berson, I., Cross, M., Ward, J., Berson, M.: People, places, and pandas: engaging preschoolers with interactive whiteboards. Soc. Stud. Young Learn. 26, 18–22 (2014)

    Google Scholar 

  29. Berson, I.R., Berson, M.J., Carnes, A.M., Wiedeman, C.R.: Excursion into empathy: exploring prejudice with virtual reality. Soc. Educ. 82, 96–100 (2018)

    Google Scholar 

  30. Berson, I.R., Berson, M.J., McKinnon, C., Aradhya, D., Luo, W., Shapiro, B.R.: An exploration of robot programming as a foundation for spatial reasoning and computational thinking in preschoolers’ guided play. Early Child Res. Q. 65, 57–67 (2023). https://doi.org/10.1016/j.ecresq.2023.05.015

  31. Berson, I.R., Berson, M.J., Connors, B.C., Reed, L.E., Almuthibi, F.H., Alahmdi, O.A.: Using mixed reality to create multimodal learning experiences for early childhood. In: Cherner, T. and Fegely, A. (eds.) Bridging the XR Technology-to-Practice Gap. pp. 151–162. Association for the Advancement of Computing in Education (2023). https://www.learntechlib.org/p/222293/

  32. Holstein, K., McLaren, B.M., Aleven, V.: Co-designing a real-time classroom orchestration tool to support teacher–AI complementarity. J. Learn. Anal. 6, 27–52 (2019). https://doi.org/10.18608/jla.2019.62.3

  33. Chubb, J., Missaoui, S., Concannon, S., Maloney, L., Walker, J.A.: Interactive storytelling for children: a case-study of design and development considerations for ethical conversational AI. Int. J. Child Comput. Interact. 32 (2022). https://doi.org/10.1016/j.ijcci.2021.100403

  34. Powell, S., Somerville, M.: Drumming in excess and chaos: music, literacy and sustainability in early years learning. J. Early Child. Lit. 20, 839–861 (2020). https://doi.org/10.1177/1468798418792603

    Article  Google Scholar 

  35. Mosqueira-Rey, E., Hernández-Pereira, E., Alonso-Ríos, D., Bobes-Bascarán, J., Fernández-Leal, Á.: Human-in-the-loop machine learning: a state of the art. Artif Intell Rev. 56, 3005–3054 (2023). https://doi.org/10.1007/s10462-022-10246-w

    Article  Google Scholar 

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Correspondence to Ilene R. Berson .

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Berson, I.R., Berson, M.J., Luo, W., He, H. (2023). Intelligence Augmentation in Early Childhood Education: A Multimodal Creative Inquiry Approach. In: Wang, N., Rebolledo-Mendez, G., Dimitrova, V., Matsuda, N., Santos, O.C. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2023. Communications in Computer and Information Science, vol 1831. Springer, Cham. https://doi.org/10.1007/978-3-031-36336-8_116

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  • DOI: https://doi.org/10.1007/978-3-031-36336-8_116

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