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作 者:朱珂[1] 张斌辉 宋晔[1] ZHU Ke;ZHANG Binhui;SONG Ye(Department of Education,Henan Normal University,Xinxiang Henan 453007)
出 处:《电化教育研究》2023年第1期13-19,共7页E-education Research
基 金:2020年度全国教育科学规划国家一般课题“基于虚拟现实(VR技术)的师范生理想指导机制构建研究”(项目编号:BEA200113)。
摘 要:人工智能与教育的融合创新对教育生态系统的迭代升级产生了革命性影响。为探析人工智能与教育深度融合的运行机理,从技术哲学和技术生态位的视角出发,运用理论分析法揭示技术竞争机制,构建“人工智能+教育”的生态系统模型。模型包含微观、中观和宏观三个层次,以发现竞争意向为支撑,奠定微观层的哲学根基;以显现演化机制为核心,总结中观层的运行规律;以实现深度融合为目的,构建宏观层的系统表征。从技术与技术、技术与教育主体协同竞争的两个维度,激活技术潜力,激励教育主体,主动把握人工智能重塑教育生态系统的发展趋势。模型在理论深度上尝试明晰竞争机制,厘清演化关系;在时间跨度上能够贯穿竞争全程,打造循环生态;在范围广度上能够协调竞争和融合,涵盖人工智能和教育主体,对人工智能教育的理论和实践发展具有一定的借鉴意义。The integration and innovation of artificial intelligence(AI) and education has had a revolutionary impact on the iterative upgrading of the education ecosystem. In order to explore the operating mechanism of the deep integration of AI and education, this paper uses theoretical analysis to reveal the technology competition mechanism from the perspective of technology philosophy and technology ecological niche, and constructs an ecosystem model of "AI + education". The model consists of micro,meso and macro levels, which lays the philosophical foundation of the micro level with the discovery of competitive intention as the support, summarizes the operation rules of the meso level by revealing the evolutionary mechanism as the core, and constructs the systematic representation of the macro level with the aim of achieving deep integration. It activates the potential of technology and motivates educational subjects from two dimensions of collaborative competition between technology and technology and technology and educational subjects, and actively grasps the development trend of AI reshaping the education ecosystem. The model tries to clarify the competition mechanism and clarify the evolutionary relationship in terms of theoretical depth;it can run through the whole process of competition and create a circular ecology in terms of time span;in terms of scope and breadth, it can coordinate competition and integration, covering AI and education subjects, which has certain implication for the theoretical and practical development of AI education.
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