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Exploring the Role of Artificial Intelligence in Personalized Learning Experiences in Early Childhood Education to Improve Children's Social Skills

Jingyi Chen

Year
2025
Citations
3
Access
Open access

Abstract

This paper explores the potential and challenges of artificial intelligence (AI) in enhancing children's social skills through personalized learning experiences in early childhood education. With the development of generative AI technology, intelligent tools have gradually been introduced into the education field to tailor learning plans for children, which is conducive to the synchronous development of cognitive and social abilities. Research indicates that personalized learning not only enhances children's learning motivation and self-efficacy, but also promotes key social skills such as communication, teamwork and emotion management in group cooperation and interaction. AI technologies, such as dialogue agents, social robots, and VR/ AR-based interactive environments, can provide structured social exercises for children through real-time feedback and emotion recognition. However, the paper also highlights many challenges existing in the application of AI, including teacher adaptability, excessive reliance on technology, uneven resource distribution, privacy protection and ethical risks, etc. The author calls for the use of AI as an auxiliary tool, combined with human emotional care, to establish a transparent and responsible educational ecosystem, in order to promote the all-round and balanced development of children.

Keywords

AdaptabilityTeamworkSocial skillsPsychologyKnowledge managementSocial intelligenceCognitionComputer scienceDevelopmental psychology

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