（Interpreter：qilin yan）

AI classroom: Our school carries out school-level demonstration classes to lead the transformation of teaching wisdom

https://www.cqie.edu.cn/html/2/content/25/12/72268.shtml

Net news（article/picture  by Jing Zhang, Teacher Development Center)In order to give full play to the demonstration and leading role of excellent teachers and further improve the quality of classroom teaching, the Teacher Development Center organized a school-level demonstration class with the theme of "AI Classroom" from October to November, and each college recommended a total of 12 teachers with outstanding teaching effects as demonstration class teachers, and more than 350 teachers from the school participated in the observation.

attach great importance to and promote coordinated. On October 11th, the school held a school-level demonstration class kick-off meeting, attended by the vice deans of teaching and the members of the school's teaching supervision group. Ming Yanyan, director of the Teacher Development Center, clarified the direction of the demonstration class at the meeting, emphasizing the need to promote the deep integration of AI with instructional design, classroom interaction and evaluation feedback. Ta Huaihong, the head of the school-level supervision team, systematically interpreted the evaluation standards of the demonstration class around the theme of "AI Classroom", and made an in-depth analysis based on excellent classroom teaching cases. After the meeting, each college concentrated on polishing the demonstration course; The school supervision group carried out "one-on-one" in-depth guidance according to disciplines, focusing on optimizing the teaching plan around the "AI classroom", and the two levels of the school and the college worked together to jointly create a high-quality example of smart classroom.

Diversified innovation, dancing with AI. Based on the essence of the subject, the teachers of the demonstration course carefully optimize the teaching design and dig deep into the connotation of the course. By integrating various strategies such as blended teaching and task-driven teaching, the in-depth application of AI tools in the whole teaching process is realized: AI teaching assistants are used to build a knowledge graph before class to lay a structured knowledge context for students; In the class, with the help of AI digital human animation demonstration and situation creation, abstract knowledge is vividly presented and concretely unfolded; After class, it relies on AI teaching assistants and online platforms to support students' personalized and continuous learning process. In addition, AI shows a variety of auxiliary functions in the teaching process: automatic completion of exercise analysis, auxiliary program writing and debugging, and intelligent evaluation of classroom practice results; Students also use AI tools to carry out inquiry-based learning and extend the depth of thinking.

Learn from each other and grow together. Observe teachers going deep into the classroom, immerse themselves in diverse teaching styles, and pay close attention to the teaching highlights and innovative practices of real-time feedback from AI tools. In the after-class exchange session, teachers enthusiastically shared their experience of listening to lectures, and generally believed that the demonstration class provided new ideas and new methods for classroom teaching reform, which would help further optimize teaching design and improve teaching effectiveness with the help of AI tools.

This school-level demonstration class with the theme of "AI Classroom" not only focused on the excellent practice of deep integration of AI and teaching, but also built a communication platform for teachers to jointly explore classroom innovation in the AI era. The school will continue to strengthen special training on AI-enabled teaching, guide teachers to continue to deepen teaching research, update educational concepts, and innovate teaching methods, so as to inject lasting impetus into comprehensively improving the quality of talent training.