Strategies to Solve the Problem of Insufficient Adaptability of Teachers in Artificial Intelligence Assisted Teaching

With the rapid advancement of artificial intelligence (AI) technology, its applications in education have garnered increasing attention. This paper examines the challenges teachers face in adapting to AI-assisted teaching and proposes practical solutions. The analysis identifies three key barriers: cognitive limitations regarding AI technology, difficulties in aligning teaching content with digital tools, and disparities in technical proficiency. To address these issues, the paper recommends enhancing professional development programs, optimizing instructional tool design, and establishing personalized feedback systems. Furthermore, it emphasizes the importance of policy frameworks and incentive mechanisms to boost teacher adaptability. These comprehensive measures will help educators overcome technological barriers and maximize the practical impact of AI in education.