Paper Details

This study explores the application strategies of the AI-assisted Think Pair Share (TPS) teaching model in rehabilitation therapy education. The paper first analyzes the current application of the traditional TPS model in rehabilitation therapy education and proposes the design principles and framework for an AI-assisted TPS model. It then elaborates on specific AI application strategies in the three stages of TPS, including generating personalized learning materials, assisting with partner matching, and facilitating online collaborative discussions. The study also examines the application strategies of this model in theoretical, experimental, and clinical practice courses. The practical application effects of the AI-TPS model in specific rehabilitation therapy courses are validated through case analysis. The results indicate that the AI-assisted TPS model can effectively enhance the quality of teaching and learning outcomes in rehabilitation therapy education, providing new ideas and methods for innovation in this field.

Artificial Intelligence, Think Pair Share, Rehabilitation Therapy Education, Teaching Strategies, Intelligent Teaching Model