Author(s)

Yi Wu

UC Berkeley, Berkeley, CA, USA.

This paper explores the transformative role of Artificial Intelligence (AI) in shaping educational curriculum that is both technologically advanced and culturally inclusive. With the onset of the AI era marked by generative AI models like ChatGPT, AI’s integration across various sectors has revolutionized economic and social structures, leading to a shift towards a post-scarcity, post-labor society. Specifically, the educational sector has witnessed AI’s potential to personalize learning experiences, thus addressing diverse cultural and educational needs effectively. Drawing on insights about the dynamic interaction between individuals and their environments, this paper examines how AI can be tailored to actively shape and respond to the educational landscape within diverse cultural contexts. It proposes a new theory for AI integration that enhances educational outcomes through cultural inclusiveness and adaptivity, offering a framework for future-ready educational experiences aligned with contemporary needs and challenges. This discussion contributes to the broader dialogue among educators, policymakers, and technologists on crafting effective, culturally responsive educational practices in the AI-enhanced future.

Artificial Intelligence (AI), Curriculum Development, Cultural Inclusiveness, Adaptive Learning, Educational Technology, Future of Education

Wu, Y. (2024) Revolutionizing Learning and Teaching: Crafting Personalized, Culturally Responsive Curriculum in the AI Era. Creative Education, 15, 1642-1651. doi: 10.4236/ce.2024.158098.