Integration Strategies and Practical Explorations of Artificial Intelligence in Pedagogy Courses

Abstract

This paper focuses on the integration and practice of Artificial Intelligence (AI) in pedagogy courses. By analyzing the characteristics of AI technology and its potential for educational applications, it proposes integration strategies to enhance teaching quality and learning efficiency. The research covers key areas such as personalized learning paths, intelligent teaching tools, virtual/augmented reality teaching environments, and educational data analysis. Through case studies, it reveals the effective applications of AI in teaching and its positive impacts on learning outcomes, teaching efficiency, and decision-making quality. Simultaneously, this paper identifies challenges in integrating AI into pedagogy courses, including technical costs, teacher training, data privacy, and ethical issues, and proposes corresponding countermeasures. The research not only provides practical AI integration guidelines for educators but also offers valuable references for the future development of educational technology.