Abstract
Artificial intelligence (AI) is transforming early childhood education, offering innovative ways to personalize learning, foster inclusivity, and empower educators. This study examines the practical applications of AI in early learning environments, grounded in established theoretical frameworks such as constructivist learning theory, ecological systems theory, and developmentally appropriate practice. It highlights how AI can support diverse learners, detect developmental challenges early, and enhance play-based learning, while also addressing pressing ethical concerns like privacy, algorithmic bias, and the developmental impacts of excessive technology use. Drawing on practice research, the paper provides actionable strategies for integrating AI responsibly. These strategies emphasize developmentally appropriate design, cultural competence, transparency, and ongoing ethical oversight. Through this balanced approach, the study envisions a future where AI enriches early childhood education while safeguarding the rights and well-being of young learners.
Presenters
Jessie Ming Sin WongAssistant Professor, Program Leader of Early Childhood Education, Hong Kong Metropolitan University, Hong Kong
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Artificial Intelligence, Early Childhood Education, Ethical AI Integration, Personalized Learning
