推动人工智能赋能高等教育

Core Viewpoint - The article emphasizes the importance of integrating artificial intelligence (AI) with education to drive innovation and transformation in the educational sector [1] Group 1: Talent Development - The proposal includes transforming talent cultivation models by establishing a "AI+" interdisciplinary education system that aligns with industry needs [1] - It suggests implementing a comprehensive evaluation system to provide personalized course recommendations and employment guidance [1] - The aim is to create a closed-loop mechanism that promotes teaching and learning through assessment [1] Group 2: Research Paradigm - The article advocates for a shift in scientific research paradigms by establishing provincial research intelligence centers and collaborative data processing mechanisms across institutions [1] - It highlights the need to leverage the advantages of Jiangsu universities to train multimodal large models in AI [1] - The implementation of sandbox regulation for AI research outcomes and a multi-platform oversight mechanism is recommended [1] Group 3: Innovation Integration - The integration of AI models to assess the technological maturity of research outcomes is proposed to reduce trial and error costs [1] - The establishment of an AI-driven collaborative innovation platform between universities, local governments, and enterprises is suggested to lower coordination costs [1] - Incorporating enterprise needs into university research topics and practical training is emphasized to enhance collaborative education [1] Group 4: Support and Assurance - The article calls for the exploration of new educational standards and models that adapt to the AI wave [1] - It proposes the establishment of special funds to support computing power platform development, interdisciplinary course creation, and AI literacy training [1] - The creation of an ethical review mechanism for AI applications and a technology control platform to enhance data security and privacy management is recommended [1]