Practical Research on Classroom Teaching Reform Based on AI-Assisted Instructional Design

Abstract

This research takes AI-assisted teaching design as the starting point to explore new paths for classroom teaching reform. The study constructs a four-step practical framework of "conceptual update-intelligent support-teaching reconfiguration-reflection and improvement", guiding teachers to collaborate with AI in completing the diagnosis of learning situations, target positioning, activity design, and resource push, achieving the transformation from experience-driven to data-driven teaching paradigm. The practice shows that the intervention of AI not only expands the design vision of teachers but also gives rise to new classroom forms with diverse interactions and progressive layers, stimulating students' deep participation and personalized growth. The research proposes that the key to promoting deep collaboration between teachers and AI lies in enhancing the teaching interpretability of intelligent tools and creating a design culture of joint creation and continuous iteration, providing a feasible practical model for classroom transformation in the era of intelligence.