Exploration and Practice of Artificial Intelligence Education under the Concurrent Emphasis of Science and Technology

Overview

This seminar focuses on the exploration and practice of artificial intelligence education under the dual emphasis on science and technology. It covers five key areas: policy guidance, dual-track classroom design, curriculum development of the Xiaoping Innovation Lab, lab operation mechanisms, and practical outcomes through student projects. The content is closely aligned with the speaker's recent research and teaching experience in secondary education, including the development of AI-focused school-based textbooks, tiered instruction strategies, interdisciplinary teaching combining AI and open-source hardware, and project-based student research training. These efforts have contributed to a coherent system integrating curriculum, experimentation, competition, and research.