摘要
生成式人工智能(AIGC)技术以其内容生成的高效性、多模态性、交互性和沉浸感体验,以及服务供给的精准性和智能性,正成为驱动教育理念、形态、模式、路径等全方位变革的“新引擎”,为推动教育创新发展注入了前所未有的新动力。本文聚焦AIGC驱动教育创新的核心要素进行分析。首先阐释了AIGC与教育创新的内涵,剖析了二者的多维契合点,并从学习理论、教育技术学等视角诠释了AIGC驱动教育创新的作用机理。在此基础上,提出“技术支撑、主体素养、伦理安全、生态培育、要素耦合”是AIGC驱动教育创新的五大核心要素。结合国内外AIGC教育应用的最新进展,提炼了推动AIGC教育创新的实践启示,展望了人工智能时代教育发展的未来图景。
Generative Artificial Intelligence(AIGC)technology,with its efficiency in content generation,multi-modality,interactivity,immersive experiences,and the precision and intelligence of service provision,is becoming a"new engine"driving a comprehensive transformation of educational concepts,forms,models,and paths.It injects unprecedented new impetus into promoting educational innovation and development.This article focuses on analyzing the core elements of AIGC-driven educational innovation.Firstly,the article explicates the connotations of AIGC and educational innovation,dissects their multidimensional points of convergence,and interprets the mechanism of AIGC-driven educational innovation from the perspectives of learning theory and educational technology.On this basis,it proposes five core elements for promoting AIGC educational innovation:"technological support,subject literacy,ethical safety,ecosystem cultivation,and element coupling."Combining the latest progress in domestic and international AIGC educational applications,the article distills practical insights for promoting AIGC educational innovation and envisions the future landscape of educational development in the era of artificial intelligence.
作者
邱峰
吴跃东
QIU Feng;WU Yuedong(Institute of Artificial Intelligence on Education,Shanghai Normal University,Shanghai 200234;Lab for Educational Big Data and Policy making,Ministry of Education,Shanghai 200234)
出处
《教育发展研究》
北大核心
2024年第13期9-16,共8页
Research in Educational Development
基金
上海市哲社规划教育学一般项目“基于大数据的高校哲学社会科学同行评议量化辅助评价模型研究”(A2024010)部分成果
上海市中小学在线教育研究基地项目“AI大语言模型对基础教育教学实践应用研究”(ROES2023R01)的部分成果
关键词
AIGC
教育创新
核心要素
作用机理
Generative Artificial Intelligence
educational innovation
core elements
mechanism
