著名经济学家、国务院原参事陈全生：AI与教育的关系应明确“行为主体”

Core Insights - The relationship between AI and education should be led by the education sector, emphasizing the importance of teachers in the integration of AI into educational practices [1][2] - AI can assist in creating personalized learning plans by analyzing student data, but the design and adjustment of AI systems must be teacher-driven [1] - Education should shift from "learning to learn" to "learning how to learn," with a focus on practical skills and methods [1] Group 1 - AI can replace routine tasks but non-routine aspects of education, such as emotional and cognitive development, still require human teachers [1] - The education industry should develop AI tools based on teachers' needs, such as using AI to support after-school learning or gamified teaching methods [1] - Skills training, particularly in vocational education, is emphasized as requiring practical experience, highlighting the need for hands-on learning [1] Group 2 - Education should prioritize abstract thinking, logical reasoning, and value formation, with subjects like mathematics and music playing a crucial role [2] - AI technology should enhance students' questioning abilities, fostering a culture of inquiry [2] - Language learning is viewed as a gateway to understanding cultural differences, and AI should be leveraged to optimize language education [2]