人工智能时代高校教师角色转型的三维路径

Core Insights - The rapid development of new technologies, particularly artificial intelligence, is significantly transforming the higher education landscape, shifting from a traditional "teacher-knowledge-student" model to a "human-machine-knowledge" interaction model [1] - This transformation necessitates a deep reflection on the roles and functions of educational stakeholders, particularly teachers, in the context of technological integration [2] Group 1: Role Transformation of Educators - Educators are transitioning from being traditional "knowledge producers" to multifaceted roles such as "knowledge curators," "technology applicators," "ethical reviewers," and "interdisciplinary coordinators" [2][3] - The shift in roles reflects a fundamental tension within the education system as technology prioritizes efficiency, challenging the essence of educational practices [2][3] Group 2: Functional Restructuring - The role of educators is evolving to become "coordinators" within the educational ecosystem, requiring them to engage in dynamic planning and integration of knowledge [3] - Educators must develop collaborative mechanisms with AI to enhance knowledge acquisition while ensuring critical thinking and metacognitive skills among students [3] - Teachers are expected to design personalized learning paths that integrate AI tools while maintaining a humanistic approach to education [3] Group 3: Value Rebalancing - There exists a tension between the tool-oriented nature of technology and the intrinsic values of education, necessitating a balance between efficiency and meaningful learning [4] - Educators should focus on fostering critical thinking and innovation rather than merely delivering knowledge, positioning technology as a tool for cognitive expansion [4] - The relationship between teachers and students must evolve to prevent the reduction of educational interactions to mere data exchanges, emphasizing a symbiotic relationship between technology and human values [4] Group 4: Practical Paradigm Upgrades - The transformation of educators' roles requires a systemic innovation in practical paradigms, including the development of a composite capability model that integrates technical skills with educational wisdom [5] - A "dual-subject driven" teaching model should be explored, where AI handles standardized tasks while educators focus on value guidance and emotional connections [5] - A mixed evaluation mechanism that combines quantitative data with qualitative insights is essential to maintain the significance of education amidst technological advancements [6]