AIGC技术赋能高等教育数字化转型的新思路  

AIGC Technology Enables New Ideas for Digital Transformation of Higher Education

作　　者：祝智庭[1] 戴岭 胡姣 ZHU Zhiting;DAI Ling;HU Jiao(East China Normal University,Shanghai 200062)

机构地区：[1]华东师范大学开放教育学院,上海200062 [2]华东师范大学教育学部,上海200062 [3]华东师范大学教育信息技术系,上海200062

出　　处：《中国高教研究》2023年第6期12-19,34,共9页China Higher Education Research

基　　金：国家社会科学基金重大项目“信息化促进新时代基础教育公平的研究”(18ZDA335)的研究成果。

摘　　要：随着人工智能技术的不断发展,AIGC技术也得到了越来越广泛的应用,AIGC在高等教育领域有着广泛的前景和潜力,但也为高等教育理念创新和方式变革等带来了新的机遇和挑战。对此,首先描述了AIGC多种模态里的“文本生成”的一种实例——ChatGPT。然后,探讨了高等教育数字化转型的新思路,包括高意识学习、技能本位教育和智慧教育三个方面:高意识学习激发学习者潜意识,由此转向无意识学习,可以开拓高维度的世界;技能本位教育突出技能优先的教育理念,可以助力于适应未来社会的需求的人才培养;智慧教育整合高意识层面下的技能、道德、知识、智能等要素,可以拓展教育教学的智慧化。最后,提出了数字社会文化综合治理的框架,旨在构建人机共善的数字德育体系。With the continuous development of artificial intelligence technology,AIGC technology has been more and more widely used,and it has a wide range of prospects and potentials in the field of higher education,but it also brings opportunities and challenges for the innovation of higher educational concepts and changes in approaches.In this regard,the study firstly describes ChatGPT,an example of“text generation”in multiple modalities of AIGC.Then,new ideas for digital transformation of higher education are discussed,including three aspects:high-consciousness learning,skills-based education,and smart education:high-consciousness learning stimulates the subconsciousness of learners,and thus turns to unconscious learning,which can open up a highdimensional world;skills-based the educational concept of highlighting the priority of skills in education can help to cultivate talents that meet the needs of the future society;smart education integrates skills,morality,knowledge,intelligence and other elements at a high level of consciousness,and can expand the wisdom of education and teaching.Finally,a framework for the comprehensive governance of digital society and culture is proposed,aiming to build a digital moral education system for the mutual benefit of man and machine.

关 键 词：高等教育 数字化转型 AIGC 高意识学习 技能本位教育 智慧教育 

分 类 号：G434[文化科学—教育学] G649.2[文化科学—教育技术学] TP18[自动化与计算机技术—控制理论与控制工程]