“云思维”:大学在人工智能驱动知识生态系统中的制胜之道  

“Minds in the Cloud”:Futureproofing the University in an AI-Driven Knowledge Ecosystem

作　　者：迈克尔·彼得斯 张婧妍(译) 赵琳(校)[2,3] Michael A.Peters(College of Education,University of Illinois at Urbana-Champaign,USA)

机构地区：[1]伊利诺伊大学厄巴纳-香槟分校教育学院,美国 [2]《清华大学教育研究》 [3]清华大学教育研究院,北京100084

出　　处：《清华大学教育研究》2024年第5期1-12,共12页Tsinghua Journal of Education

摘　　要：随着人工智能与认知技术迅速发展,大学站在了关键的十字路口。“云思维”,即人类认知与数字系统的深度融合,为高等教育带来了前所未有的机遇和挑战。面对这一新形势,大学需重新审视自身角色,不仅要适应变化以维持生存,还要在人工智能驱动的生态系统中寻求发展。本文探讨大学如何在新的认知环境下为未来做好准备,深入分析人工智能与云技术在教育、研究和知识创造方面的变革潜力。论述数字知识经济中的三种大学模式:(1)“数据为王”的数据密集型大学模式;(2)融合人类与人工智能,构建动态、适应性强且包容性广的学习系统的奇点大学模式;(3)由奇点大学演进而成的后奇点大学模式,即依据人类认知与人工智能深度融合的混合智能对高等教育进行的变革性前瞻。基于当下从生成式人工智能到通用人工智能的技术发展,本文以上述相互交叠的模式为战略背景,探讨它们将如何重塑高等教育的根基。In the rapidly evolving landscape of artificial intelligence and cognitive technologies,universities stand at a crucial crossroads.The concept of“Minds in the Cloud”-the deep integration of human cognition with digital systems-presents both unprecedented opportunities and formidable challenges for higher education.In navigating this new terrain,universities must reimagine their role,adapting not just to survive but to thrive in an AI-driven ecosystem.This presentation explores how universities can futureproof themselves in this new cognitive landscape,examining the transformative potential of AI and cloud technologies in education,research,and knowledge creation.The presentation will investigate three models of the university in the digital knowledge economy:(i)the data-intensive model of the university where“data is king”;(ii)the Singularity model of the university that integrates human and artificial intelligence to create a dynamic,adaptive and inclusive learning system and(iii)its evolution into the model of the post-Singularity university,a revolutionary vision for higher education based on hybrid intelligence of the deep integration of human cognition and AI.The paper presents these overlapping models as the strategic context based on the technological progression that is taking place with the shift from GenAI to AGI.The paper examines how these models will reshape the very foundations of higher education.

关 键 词：人工智能 认知技术 高等教育 数字系统 未来准备 

分 类 号：G434[文化科学—教育学]