Peer-reviewed article
The Use of Artificial Intelligence (AI) in Early Childhood Education
Silvia Cimino, Angelo Giovanni Icro Maremmani, Luca Cerniglia ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001This theoretical review examines how artificial intelligence can be integrated into early childhood education to support cognitive, social, and emotional development. The paper discusses AI applications including personalized learning platforms, educational robotics, and gamified learning, while identifying potential benefits for children with disabilities. It also raises significant concerns about privacy, algorithmic bias, teacher preparedness, and the unknown long-term effects on children's social skills and emotional intelligence.
Key points
- AI-powered personalized learning platforms enhance engagement and adaptability for young learners
- Educational robotics and gamification can foster problem-solving and collaboration skills
- AI tools support inclusive education by promoting accessibility for children with disabilities
- Ethical concerns including privacy, bias, and inadequate teacher preparation pose implementation challenges
- Long-term effects of AI on children's social skills and emotional intelligence remain unclear and require further investigation
Limitations
This is a theoretical discussion rather than an empirical study, so it does not present primary data on actual outcomes for children using AI in early childhood settings. The document does not provide specific evidence on effectiveness, comparative impacts, or longitudinal effects in real-world educational contexts.
Abstract
The integration of Artificial Intelligence (AI) into early childhood education presents new opportunities and challenges in fostering cognitive, social, and emotional development. This theoretical discussion synthesizes recent research on AI’s role in personalized learning, educational robotics, gamified learning, and social-emotional development. The study explores theoretical frameworks such as Vygotsky’s Sociocultural Theory, Distributed Cognition, and the Five Big Ideas Framework to understand AI’s impact on young learners. AI-powered personalized learning platforms enhance engagement and adaptability, while robotics and gamification foster problem-solving and collaboration. Additionally, AI tools support children with disabilities, promoting inclusivity and accessibility. However, ethical concerns related to privacy, bias, and teacher preparedness pose challenges to effective AI integration. Furthermore, the long-term effects of AI on children’s social skills and emotional intelligence require further investigation. This theoretical discussion emphasizes the need for interdisciplinary collaboration to develop AI-driven educational strategies that prioritize developmental appropriateness, equity, and ethical considerations. The findings highlight AI’s potential as a transformative educational tool, provided it is implemented thoughtfully and responsibly. The paper aims to address the following research question: How can artificial intelligence (AI) be meaningfully and ethically integrated into early childhood education to enhance learning, while preserving developmental and relational values?