苏州市人大代表李志华：发挥城市产业优势，让人工智能教育走进中小学

Core Viewpoint - Artificial intelligence is profoundly changing the way society operates and the structure of industries, with a critical need to integrate AI education into primary and secondary schools to cultivate innovation and digital literacy [1][3]. Group 1: Current State of AI Education - In Suzhou, AI education in primary and secondary schools is primarily focused on interest courses and extracurricular activities, leading to fragmented curricula, insufficient teaching staff, and scattered practical resources [3][4]. - There is a need to transition from "point-based attempts" to "systematic promotion" of AI education in schools [3]. Group 2: Curriculum Development - A curriculum system that aligns with students' cognitive development is essential, with a phased approach: - Primary education should focus on interest and experiential learning to introduce basic AI concepts - Middle school should emphasize foundational applications through programming and data processing in real-life contexts - High school should incorporate more challenging content, encouraging participation in innovation projects and technology competitions [3][4]. - The curriculum should be both cutting-edge and locally relevant, utilizing real applications from local AI industries to enhance students' understanding of AI's connection to sectors like smart manufacturing, biomedicine, and intelligent transportation [3][4]. Group 3: Teacher Training and Resources - Teacher training is identified as a critical bottleneck in advancing AI education, necessitating collaboration between schools and enterprises to enhance teachers' practical skills [4]. - Suggestions include sending teachers to enterprises for practical training and involving industry engineers and researchers as external mentors to co-develop courses and guide projects [4]. Group 4: Practical Learning Environments - There is a call to create more open and shared AI learning environments by integrating existing resources, establishing AI practice bases and innovation laboratories for students [4]. - The ultimate goal of AI education is to enhance overall digital literacy and innovation capabilities, preparing youth for future societal demands and supporting the sustainable development of Suzhou's AI industry [4]. Group 5: Strategic Implementation - A systematic approach involving top-level design, resource integration, and gradual implementation is necessary to ensure AI education effectively reaches classrooms and engages students [4].