推开“AI教室”的门 天津市政协助力破解教学实践难题

Group 1 - The core viewpoint is that the integration of artificial intelligence (AI) in primary and secondary education is not merely about usage but requires a deeper understanding and effective application in teaching [1][2] - AI applications in classrooms are currently facing challenges, such as a lack of connection between AI-generated content and educational objectives, leading to a disconnect in teaching [1] - A research team led by Zhao Changlong identified that the integration of AI in daily teaching is insufficient, with a lack of systematic training for teachers and inadequate quality resources suitable for classrooms [1] Group 2 - Zhao Changlong emphasizes that AI education should not just involve adding more courses or tools but should provide students with a systematic understanding of AI concepts and methods, integrating AI tools into traditional subjects to enhance learning [2] - The research results suggest leveraging local university library resources and faculty to support AI education in primary and secondary schools, including one-on-one or group teaching consultations for teachers [2] - Proposed interdisciplinary projects include incorporating algorithmic thinking and data processing in math classes, discussing AI applications in climate prediction and life sciences in science classes, and engaging students in AI-generated art and music in arts classes [2] Group 3 - The exploration of how AI can better integrate into schools continues, with the focus on whether it can truly enhance teaching rather than just the sophistication of the technology [3] - Establishing a resource connection between higher education and basic education is crucial for teachers to effectively utilize AI and for students to engage deeply with the subject [3]