人工智能融入高等教育教学场景的协同框架与实践范式OA

As the core driving force of the Fourth Industrial Revolution,artificial intelligence(AI)technology is triggering a paradigm shift in higher education systems.This article systemati-cally analyzes 50 selected"AI+Higher Education"application scenario cases(in two batches)from the Chinese Ministry of Education using the three-level coding process of Grounded Theory.Through this analysis,we constructed a synergistic framework encompassing teaching,learning,re-search,evaluation,and administration domains,termed the Teaching-Learning-Research-Evalua-tion-Administration Synergistic Framework(TLR-EA Framework).The study proposes a"Five-Dimensional Integrated"practical paradigm for AI-driven digital transformation in education:(1)Intelligent teaching support systems facilitate the regeneration of contextualized knowledge.(2)A-daptive learning ecosystem helps individualized learning path planning and lifelong learning com-munity construction.(3)Multi-intelligence evaluation system helps to generate digital portrait of students' growth and traceability model of ability development.(4)Intelligent scientific research acceleration platform to assist researchers in interdisciplinary research paradigm innovation.(5)The intelligent center of education governance helps universities to advance from"empirical deci-sion-making"to"data-driven"management.Finally,it is put forward that the educational appli-cation of artificial intelligence technology should always focus on"student-centered"and improve students' comprehensive ability as the fundamental goal,forming a closed loop of science and technology empowerment education.