摘要
生成式人工智能为教育创新变革注入了新动能,也为教育信息科学与技术研究带来了新契机。生成式人工智能引发的研究场域变化、分析手段革新、服务能力升级、实践样态变革,为教育研究的科学化发展带来了新机遇。在此背景下,教育信息科学与技术研究的目标和重点亟需发生转变,表现为从关注知识学习到重视创新人才培养,从重视规律挖掘到强调服务能力提升,从追求技术创新到注重解决教育问题,从聚焦通用场景到关注学科教育实践,从研究跟随实践到研究引领实践创新。为了更好地顺应生成式人工智能背景下教育信息科学与技术研究的新发展趋势,未来该领域研究应重点关注以下六大核心议题:一是面向创新人才培养的教育规律挖掘,二是学科教育人工智能大模型的构建与应用,三是学科素养图谱的智能生成与动态优化,四是素养导向的个性化学习服务关键技术,五是人机协同教育的实践创新和机理探索,六是人机协同胜任力的智能评测理论与技术。这些研究议题能为生成式人工智能背景下国家自然科学基金“教育信息科学与技术”资助方向的改革提供理论指引。
Generative artificial intelligence injects new momentum into educational innovation and reform and brings new opportunities for research in educational information science and technology.The change in research fields,the innovation of analytical methods,the upgrading of service capabilities,and the transformation of practical pattern triggered by generative artificial intelligence have brought new opportunities for the scientific development of educational research.In this context,the goals and priorities of educational information science and technology research urgently need to be transformed,manifested as a shift from focusing on knowledge learning to emphasizing the cultivation of innovative talents,from emphasizing law mining to emphasizing the improvement of service capabilities,from pursuing technological innovation to focusing on solving educational problems,from focusing on general scenarios to focusing on disciplinary educational practice,and from research following practice to research leading practical innovation.In order to adapt to the new trend of educational information science and technology research under the background of generative artificial intelligence,future related research should focus on the following topics:first,exploring educational laws for the cultivation of innovative talent;second,constructing and applying artificial intelligence models for disciplinary education;third,intelligent generation and dynamic optimization of disciplinary literacy maps;fourth,key technologies for personalized learning services guided by literacy;fifth,practical innovation and mechanism exploration of human-machine collaborative education;sixth,intelligent evaluation theory and technology for human-machine collaborative competence.This study aims to provide theoretical guidance for the reform funded by“Educational Information Science and Technology”of the National Natural Science Foundation of China in the context of generative artificial intelligence.
作者
王一岩
吴国政
郑永和
WANG Yiyan;WU Guozheng;ZHENG Yonghe
出处
《现代远程教育研究》
CSSCI
北大核心
2024年第6期46-54,共9页
Modern Distance Education Research
基金
科技创新2030--“新一代人工智能”重大专项2022年度项目“面向学习成效评价的认知与情感计算模型”(2022ZD0117101)。
关键词
教育信息科学与技术
生成式人工智能
人机协同教育
学科素养图谱
教育大模型
Educational Information Science and Technology
Generative Artificial Intelligence
Human-Machine Collaborative Education
Disciplinary Literacy Map
Education Model
