摘要
生成式人工智能的飞速迭代迫使高等教育在人才培养、专业转型等方面作出及时的回应。诸多世界一流高校和科研机构正积极探索其应用价值,并从应用模式、技术伦理等视角制定相应的技术规范和应用指导。然而,生成式人工智能技术在我国高校的广泛应用与指导规范的相对匮乏形成了亟待破解的难题,凸显了剖析与总结现有国际经验的重要研究价值。选取16所世界一流高校生成式人工智能应用的指导性文件作为探索性分析案例,根据联合国教科文组织对高等教育机构提出的战略方向,结合LDA(Latent Dirichlet Allocation)无监督学习算法抽取出技术应用、师生指导、课程评价与道德伦理四个主题,并分别进行了深入的内容挖掘。对世界一流高校的案例梳理,将有助于我国高校制定生成人工智能应用规范的探索,为我国高等教育在人工智能时代的进一步变革与发展提供前瞻性参考。
The rapid iteration of Generative Artificial Intelligence forces higher education institutions to make timely responses in areas such as talent cultivation and professional transformation.Many world-class universities actively explore guidelines for its application value;on the other hand,they also respond by setting norms from perspectives of application models and technological ethics.However,the widespread application of GAI technology in Chinese universities,coupled with the relative lack of guiding regulations,has created an urgent problem that needs to be addressed.This highlights the significant research value in analyzing and summarizing existing intemational experiences.This article selects guiding documents from 16 world-class universities on responding to GAI as exploratory analysis cases.In line with the strategic direction proposed by UNESCO for higher education institutions the study conducts an in-depth content mining and reflection under the themes of technological application,teaching guidance,evaluation reform,and moral ethics using the LDA unsupervised learning algorithm for topic extraction from the case texts,aiming to provide a forward-looking reference for the transformation and development of China's higher education in the new era of artificial intelligence.
作者
楚肖燕
沈书生
王敏娟
王会军
李晓文
翟雪松
CHU Xiaoyan;SHEN Shusheng;WANG Minjuan;WANG Hujun;LI Xiaowen;ZHAI Xuesong(Zhejiang University,Hangzhou Zhejiang 310058;Nanjing Normal University,Nanjing Jiangsu 210097;The Education University of Hong Kong,Hong Kong SAR,999077,China;Zhejiang Provincial Education Technology Center,Hangzhou Zhejiang 310012;Ningbo Institute of Finance and Economics,Ningbo Zhejiang 315175)
出处
《现代远距离教育》
2024年第3期38-47,共10页
Modern Distance Education
基金
2021年度国家自然科学基金项目“融合视觉健康的在线学习资源自适应表征及关键技术研究”(编号:62177042)
2024年度浙江省自然科学基金项目“基于双维眼动融合分析的在线学习者情感计算研究”(编号:Y24F020039)
2023年度澳门科学技术发展基金“澳门中小学智能学习系统与远像光屏学习机及其关键技术研究”(编号:0071/2023/RIB3)
2023年度国家留学基金委国际组织后备人才培养项目(编号:202306320092)。
关键词
生成式人工智能
高等教育
以人为中心
技术风险
Generative Artificial Intelligence
Higher Education
Human-centered
Technical Risk
