远程教育杂志2023，Vol.41Issue(6)：34-41,8.DOI:10.15881/j.cnki.cn33-1304/g4.2023.06.004
教育对人工智能应用的反哺价值探究
Exploring the Value of Educational Back-feeding on the Application of Artificial Intelligence:From A Perspective of Generative Model to World Model
摘要
Abstract
The emergence of generative artificial intelligence has changed the relationship between artificial intelligence and education,transition from tool based applications to interdependent development.However,the true integration of generative artificial intelligence and education still faces many challenges,mainly manifested in the inherent low recognition of generative models,which makes it difficult to match the background of seeking truth and reality in the vertical field of education.Therefore,the leap from generative models characterized by large corpora and high parameters to world models based on cognitive reasoning learning has become an inevitable trend in the development of artificial intelligence,and the basic theories of education will become an important force driving this leap.Based on this perspective and the opportunity of constructing logic based on the world model,this study fully explores the value of education in nurturing artificial intelligence from four dimensions:knowledge,practice,attitude,and cognition.In addition,this study presents corresponding challenges from the perspectives of technological implementation and conceptual transformation.At the current stage of explosive development of generative models,this study proposes the interaction between artificial intelligence models and education,which has significant theoretical value in exploring new heights of artificial intelligence education ecology in the future.关键词
生成式人工智能/世界模型/教育反哺Key words
Generative Artificial Intelligence/World Model/Educational Back-feeding分类
社会科学引用本文复制引用
翟雪松,吴庭辉,袁婧,李艳..教育对人工智能应用的反哺价值探究[J].远程教育杂志,2023,41(6):34-41,8.基金项目
本文系国家自然科学基金青年项目"融合视觉健康的在线学习资源自适应表征及关键技术"(项目编号:62177042) （项目编号:62177042）
2024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"(项目编号:Y24F020039)、2023年度浙江省教育信息化综合评价项目(ZZCG2023P-GK-122)的研究成果. （项目编号:Y24F020039）
