Impact of Artificial Intelligence and Robotics on Early Childhood Education: A Framework-Based Approach Utilizing the Five Big Ideas Model

المؤلفون

  • Basma Rashed Alghufali Early Childhood Education Department Princess Nourah bint Abdulrahman University

DOI:

https://doi.org/10.55074/hesj.vi47.1462

الكلمات المفتاحية:

Artificial Intelligence (AI)، Early childhood education، five big ideas of AI، framework

الملخص

This paper aims at presenting an adapted framework based on the five big ideas, specifically designed to teach young children about artificial intelligence (AI) through the use of robotics. This study investigates the proposed system which emphasizes the utilize of mechanical autonomy and play-based learning to create AI available and empower engagement among youthful children who have not begun formal tutoring. In November (2022), the public release of (ChatGPT-3.5), a generative pre-trained transformer AI chatbot developed by OpenAI, made generative artificial intelligence widely accessible, requiring only an internet connection and a smartphone or computer. As a result, generative AI, particularly versions (ChatGPT-3.5) and -(4), experienced a notable increase in usage, prompting extensive discussions regarding its sustainable integration across diverse sectors, including education at all levels, from primary schools to universities. However, practical testing and evaluation in Early Childhood education are still relatively unexplored. The researcher has followed a comparative and analytical approach to figure out the similarities and differences in AI concepts between the original (K-12) educational system and the newly redesigned early childhood education framework. To provoke children intrigued, key concepts are displayed through intelligent with mechanical technology and robot role-play. This study has concluded that there are various advantages of introducing AI topics to young children, including enhanced creativity, theory of mind skills, and knowledge of AI. This paper too gives suggestions for age-appropriate points, narrating, and play-based instructing strategies. This system points to prepare analysts and teachers with procedures for effectively coordination initial AI instruction into early childhood classrooms. Educating AI in a formatively responsive way can offer assistance sustain youthful children’s interest toward and understanding of a progressively AI-driven world.

التنزيلات

تنزيل البيانات ليس متاحًا بعد.

المراجع

AI4K12. (2020). Grade band progression charts. https://ai4k12.org/gradeband-progression-charts

Bijou, S. W. (1976). Child development: The basic stage of early childhood. Prentice-Hall.

Inan, H. Z., & Inan, T. (2015). 3Hs Education: Examining hands-on, heads-on and hearts-on early childhood science education. International Journal of Science Education, 37(12), 1974-1991. https://doi.org/10.1080/09500693.2015.1060369

Kandlhofer, M., Steinbauer, G., Hirschmugl-Gaisch, S., & Huber, P. (2016). Artificial intelligence and com- puter science in education: From kindergarten to university. IEEE Frontiers in Education Conference (FIE) 1-9.

Lin, P., Van Brummelen, J., Lukin, G., Williams, R., & Breazeal, C. (2020). Zhorai: Designing a con- versational agent for children to explore machine learning concepts. AAAI Conference on Artificial Intelligence, 34(9), 13381-13388. https://doi.org/10.1609/aaai.v34i09.7061

Martin, C., Ahmed, D., Razzak, A. (2022). The ethical considerations including inclusion and biases, data protection, and proper implementation among AI in radiology and potential implications. Intelligence-Based Medicine, 6, 100073. https://doi.org/10.1016/j.ibmed.2022.100073

Nan, J. (2020). Research of application of artificial intelligence in preschool education. Journal of Physics: Conference Series, 1607, 012119. https://doi.org/10.1088/1742-6596/1607/1/012119

Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041

Nilsson, N. J. (2010). The quest for artificial intelligence: A history of ideas and achievements. Cambridge University Press.

Su, J., Guo, K., (2023). Teaching artificial intelligence in K12 classrooms: A scoping review. Interactive Learning Environments, 1-20.

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, 100124. https://doi.org/10. 1016/j.caeai.2023.100124

Su, J., & Yang, W. (2022). Artificial intelligence in early childhood education: A scoping review. Computers and Education: Artificial Intelligence, 3, 100049. https://doi.org/10.1016/j.caeai.2022.100049

Su, J., & Yang, W. (2023a). AI literacy curriculum and its relation to children’s perceptions of robots and atti- tudes towards engineering and science: An intervention study in early childhood education. Journal of Computer Assisted Learning, 1-13. https://doi.org/10.1111/jcal.12867

Su, J., & Yang, W. (2023b). Artificial intelligence (AI) literacy in early childhood education: An intervention study in Hong Kong. Interactive Learning Environments, 1-15. https://doi.org/10.1080/10494820.2023. 2217864

Su, J., & Yang, W. (2023c). Unlocking the power of ChatGPT: A framework for applying generative AI in education. ECNU Review of Education, 6(3), 355-366. https://doi.org/10.1177/20965311231168423

Su, J., & Zhong, Y. (2022). Artificial intelligence (AI) in early childhood education: Curriculum design and future directions. Computers and Education: Artificial Intelligence, 3, 100072. https://doi.org/10.1016/j. caeai.2022.100072

Tazume, H., Morita, T., & Hotta, H. (2020, June). Young children’s literacy and cognition to interactive AI robots: A multifaceted study of potential enhancement to early childhood education. Association for the Advancement of Computing in Education (AACE) 323-328.

The Early Math Collaborative of Erikson Institute. (2013). Big ideas of early mathematics: What teachers of young children need to know (1st ed.). Pearson Education.

Touretzky, D., Gardner-McCune, C., Martin, F., & Seehorn, D. (2019, July). Envisioning AI for K-12: What should every child know about AI? AAAI Conference on Artificial Intelligence, 33(1). 9795-9799. https://doi.org/10.1609/aaai.v33i01.33019795

United Nations Educational, Scientific and Cultural Organization (UNESCO). (2022). K-12 AI curricula: A mapping of government-endorsed AI curricula. https://unesdoc.unesco.org/ark:/48223/pf0000380602

Vartiainen, H., Tedre, M., & Valtonen, T. (2020). Learning machine learning with very young children: Who is teaching whom? International Journal of Child–Computer Interaction, 25, 100182. https://doi.org/10.1016/j

Williams, R., Park, H. W., & Breazeal, C. (2019). A is for artificial intelligence: The impact of artificial intelligence activities on young children’s perceptions of robots. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1-11.

Yang, W., Liu, H., Chen, N., Xu, P., & Lin, X. (2020). Is early spatial skills training effective? A meta-analysis. Frontiers in Psychology, 11, 564679. https://doi.org/10.3389/fpsyg.2020.01938

التنزيلات

منشور

2025-07-01

كيفية الاقتباس

Impact of Artificial Intelligence and Robotics on Early Childhood Education: A Framework-Based Approach Utilizing the Five Big Ideas Model. (2025). مجلة العلوم التربوية و الدراسات الإنسانية, 47, 935-951. https://doi.org/10.55074/hesj.vi47.1462

المؤلفات المشابهة

1-10 من 817

يمكنك أيضاً إبدأ بحثاً متقدماً عن المشابهات لهذا المؤلَّف.