The current state of AI applications in early childhood education and the challenges it faces

Journal: Region - Educational Research and Reviews DOI: 10.32629/rerr.v6i7.2578

Meng WU

Xi'an Fanyi University

Abstract

The rapid advancement of artificial intelligence (AI) technology is profoundly impacting various industries, with the field of education being no exception. In early childhood education, the application of AI extends beyond mere computation and data processing; it encompasses an ongoing cognitive process aimed at enhancing teaching effectiveness, optimizing learning experiences, and promoting educational equity. However, despite the promising prospects of AI in early childhood education, numerous challenges remain. This paper explores the current state of AI applications in early childhood education and the challenges it faces and then offers sustainable insights and recommendations for the future development of AI in this domain.

Keywords

artificial intelligence; early childhood education; current state; challenges; future development

References

[1] McCarthy J. 2007. From here to human-level AI. Artificial Intelligence, 171(18): 1174-1182.
[2] Xu Y, et al. 2021. Artificial intelligence: a powerful paradigm for scientific research. The Innovation, 2(4).
[3] Su JH, Zhong YC, Davy TKN. 2022. A meta-review of literature on educational approaches for teaching AI at the K-12 levels in the Asia-Pacific region. Computers and Education: Artificial Intelligence, 3: 100065.
[4] Sullivan A, Bers MU. 2018. Dancing robots: integrating art, music, and robotics in Singapore's early childhood centers. International Journal of Technology and Design Education, . 28: 325-346.
[5] Fridin M, Belokopytov M. 2014. Embodied robot versus virtual agent: involvement of preschool children in motor task performance. International Journal of Human-Computer Interaction, 30(6): 459-469.
[6] Kennedy J, Baxter P, Belpaeme T. 2017. Nonverbal immediacy as a characterisation of social behaviour for human–robot interaction. International Journal of Social Robotics, 9: 109-128.
[7] Karpenka L, et al. 2021. The influence of a brand's visual content on consumer trust in social media community groups. Journal of Theoretical and Applied Electronic Commerce Research, 16(6): 2424-2441.
[8] Su JH, Yang WP. 2022. Artificial intelligence in early childhood education: a scoping review. Computers and Education: Artificial Intelligence, 3: 100049.

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