「教」量｜专访联合国教科文组织苗逢春：下一代AI竞争关键在人才，应制定高校学生能力框架

Core Viewpoint - The global shift towards an intelligent era is driving educational transformation, with education also supporting the advancement of intelligence [1] Group 1: Educational Transformation - The 2025 World Digital Education Conference gathered hundreds of international guests to discuss the development and transformation of education in the intelligent era [1] - UNESCO's Director of Education Information and Artificial Intelligence, Miao Fengchun, emphasized that the maturity of AI foundational models and their industry application will determine the transition into a post-AI era [1][3] - Miao noted that China's early emphasis on AI capability building positions it favorably for international competition in the post-AI era [1][3] Group 2: AI Education Initiatives - Chinese universities are increasingly offering AI general education courses, reflecting a global trend and enhancing students' human-machine collaboration skills [5][6] - Over 200 universities in China have introduced more than 100 AI-related courses, supported by recent policies [5] - Miao highlighted the importance of developing AI competency frameworks for students and educators to ensure quality in human-machine collaboration talent cultivation [5][6] Group 3: AI Integration Across Disciplines - The trend of "AI + subject innovation" is emerging, integrating AI into various fields such as mathematics, medicine, language, and arts [6] - This dual approach of offering AI general education and specialized "AI +" programs allows students to gain foundational knowledge while pursuing specific interests [6] Group 4: Caution in AI Usage for Young Learners - Miao raised concerns about the use of AI by young children, emphasizing the need to protect privacy, avoid information bubbles, and monitor the use of generative AI tools [7][8] - Education should focus on fostering critical thinking about AI from a young age, rather than solely teaching operational skills [8] Group 5: Addressing Cheating with AI - The issue of students using generative AI for cheating has been noted, particularly in unmonitored assessments [9] - Recommendations include adjusting evaluation methods to focus on originality and creativity, and utilizing diverse assessment formats to mitigate cheating risks [9]