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如何建设未来学校:基于智能教育治理场景的前瞻与审思 被引量:4

How to Build Future School: Prospective Analysis and Practical Enlightenment of Application Scenarios of AI in Education
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摘要 学习技术的发展会对不同社会历史时期学校的呈现状态、运行机制、文化氛围产生影响。那么,在人工智能作为当前社会发展主要驱动力的情况下,未来学校将呈现何种特点?当下我们该如何建设未来学校?为了回应这些问题,本研究运用未来研究法的基本思想,系统分析了人工智能驱动下面向未来学校的智能教育治理场景数据,从核心要素、关键角色的职能和学习空间的场域等方面剖析了未来学校的特点,并据此提出了未来学校的建设路径:第一,在创新理念引领的前提下,关注不同教育场景中的现实问题;第二,以基于设计的研究方法为基础,运用持续改进的思路优化人工智能教育应用的技术方案;第三,在跨学科与机构合作的探究实践中,寻找可持续发展机制助力未来学校的建设。 From the perspective of time change, the development of learning technology has an impact on the state, operation mechanism and cultural atmosphere of schools in different social and historical periods. Therefore, in the case of artificial intelligence as the main driving force of future social development, what kind of future schools will appear and how we should effectively build future schools are important topics of current education field. In order to respond to this problem, using the basic ideas of future research method, the application scenarios of future school education governance driven by artificial intelligence are prospectively analyzed. This paper analyzes the characteristics of core elements, including structure and context of future school driven by artificial intelligence. On this basis, the construction path of future schools is proposed. First, under the innovative idea of learning-drive logic,we should pay attention to the practical problems in different educational scenes. Second, based on the design-based research methods, continuous improvement method is used to promote the integration artificial intelligence in education. Third, under the interdisciplinary and institutional cooperation, sustainable development mechanisms should be explored to help the construction of future schools.
作者 蔡慧英 董海霞 陈旭 顾小清 Cai Huiying;Dong Haixia;Chen Xu;Gu Xiaoqing(Department of educational technology,Jiangnan University,Wuxi 214122,China;Faculty of education,Beijing Normal University,Beijing,102206,China;Department of Education Information Technology,East China Normal University,Shanghai,200062,China)
出处 《华东师范大学学报(教育科学版)》 CSSCI 北大核心 2022年第9期45-54,共10页 Journal of East China Normal University:Educational Sciences
基金 2019年度国家社会科学基金重大项目“人工智能促进未来教育发展研究”(19ZDA364)。
关键词 人工智能 未来学校 未来研究法 学习科学 教育治理 artificial intelligence future school future research method learning science education governance
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