Research on the Analysis and Application of Artificial Intelligence and Teacher Collaborative Teaching System Model

Artificial intelligence serves as an extension and expansion of human senses, surpassing human intelligence in areas such as data processing and data storage, while remaining weak in emotional awareness. By leveraging the strengths of both, a synergy between the two can achieve integrated intelligence. The collaboration between AI and teachers in teaching addresses the shortcomings of relying solely on either AI or human teachers, forming a complex system that combines their respective advantages. Therefore, it is crucial to clarify the futures of AI and teacher for collaborative teaching. Additionally, it discusses four types of collaborative processes supported by AI-teacher teaching systems, analyzing how data circulation and utilization can be enhanced through the four stages of data production, data transformation, data application, and data feedback. Finally, a Chinese language class supported by AI-teacher collaboration was conducted and implemented in a base school in a certain city for sixth-grade students, to analyze the key elements and operational mechanisms in the human-machine collaborative classroom, providing theoretical and practical references for AI-teacher collaborative teaching.