人机共生驱动高等教育变革

Core Insights - The article emphasizes that the global higher education sector is entering the "Smart Education Era," marking a shift where artificial intelligence (AI) evolves from a supportive tool to a core driver of educational paradigm reconstruction [1] - AI is fundamentally transforming knowledge production, learning forms, and governance logic in education, pushing the sector from "digitalization" to "intelligentization" [1] Group 1: Educational Transformation - The focus of education is shifting from knowledge transmission to capability cultivation, addressing the core question of "what kind of individuals to cultivate" [2] - AI is breaking traditional educational logic, promoting a return to the essence of education, which is to stimulate individual potential and shape independent personalities [2] - Higher education must cultivate four core competencies in students: problem-posing thinking ability, AI utilization ability, human-machine co-creation practical ability, and critical thinking ability [2] Group 2: Mode Transition - The traditional "teacher-student" relationship is evolving into a "teacher-machine-student" triadic interaction, leading to systemic changes in the educational ecosystem [3] - AI enables personalized education, allowing for precise understanding of individual strengths and learning preferences, thus facilitating tailored learning plans [3] - The boundaries of education are expanding, allowing for learning beyond traditional constraints, promoting educational equity, and creating a more interconnected learning ecosystem [3] Group 3: Teacher Role Evolution - Teachers must redefine their roles from knowledge authorities to technology and humanities integrators, balancing digital skills with humanistic values [4] - Teachers should act as value shapers, guiding students to resist the influence of algorithm-driven information and fostering ethical judgment [4] - The role of teachers includes being educational guides, helping students establish clear learning goals and develop systematic knowledge frameworks [5] Group 4: Challenges and Opportunities - The rapid development of AI presents unprecedented opportunities for higher education, but it also comes with challenges that require careful navigation [6] - Higher education must clarify the boundaries and norms of technology application while actively promoting the integration of AI into teaching and research practices [6]