教改深水区：AI素养如何润物无声

Core Viewpoint - The integration of artificial intelligence (AI) in education is undergoing significant transformation, but its regular application in basic education has not yet been achieved, with various challenges hindering progress [1][4]. Group 1: Current State of AI in Education - AI applications in education are currently limited, with many schools purchasing advanced technology that remains underutilized or ineffective [1]. - In Beijing, the application rate of AI in basic education is reported to be 68.15%, indicating a widespread but not fully effective implementation [2]. - Schools in districts such as Xicheng, Changping, and Pinggu have achieved a 100% application coverage, showcasing both strong and weak educational resource areas engaging in AI-enabled education [3]. Group 2: Challenges to AI Integration - On the demand side, teachers lack sufficient AI literacy and training, which hampers the integration of AI tools into daily teaching [4]. - Concerns regarding data privacy, ideology, and ethical issues related to AI applications contribute to schools' hesitance in adopting these technologies [4]. - On the supply side, there is inadequate coordination and sharing of educational data resources, and a mismatch between available products and specific educational needs [4]. Group 3: Policy and Curriculum Development - The Ministry of Education and other departments have emphasized the need for AI to be integrated into all aspects of education, highlighting the importance of regular application [1]. - The upcoming revision of high school information technology curriculum standards will significantly increase the focus on AI education [6]. - Starting from the 2025 fall semester, Beijing will implement an 8-hour annual AI general course in all primary and secondary schools, although there is currently no nationwide mechanism for such courses [7]. Group 4: Future Directions - Experts suggest that for AI to be effectively integrated into education, it must be included in the national examination system, which would enhance student motivation and engagement [8]. - The trend indicates that AI-related knowledge will increasingly be assessed in traditional subjects like mathematics and physics, rather than as standalone subjects [8].