TITLE:
Is Early Childhood Education Prepared for Artificial Intelligence?: A Global and US Policy Framework Literature Review
AUTHORS:
Yi Wu
KEYWORDS:
Artificial Intelligence (AI), AI In Education, Early Childhood Education, Policy Framework, Learning and Teaching
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.12 No.8,
August
15,
2024
ABSTRACT: This paper investigates the preparedness of early childhood education for integrating artificial intelligence (AI), focusing on global and U.S. policy frameworks. With their potential for personalized learning, adaptive assessments, and interactive tools, AI technologies promise to revolutionize educational outcomes. The study highlights the critical role of ethics, robust teacher training, and inclusive policies by comparing practices from Europe, China, Singapore, and Australia. In contrast, the U.S. approach, marked by innovation and decentralized policy, requires more cohesive and comprehensive strategies. Key challenges identified include data privacy, algorithmic bias, and technical limitations. The paper underscores the necessity for significant investment in educator training and the development of robust regulatory frameworks to ensure AI’s responsible and effective use. Additionally, it emphasizes the importance of international collaboration in developing unified approaches to AI in education. This paper will offer some insights to policymakers and educators in harnessing AI technologies to advance educational excellence and uphold ethical standards.