摘要
在人工智能技术飞速发展的时代背景下,中小学人工智能教育已成为落实国家战略、培养创新人才的重要途径。本文结合吉林省的区域实践,针对当前中小学人工智能教育在软硬件条件、师资力量、课程体系等方面存在的现实问题,构建了“课题引领—示范辐射—资源协同”的RM-R(Research-Modeling-Resources)模型,通过组建学科研究团队、召开省级示范现场会、建设分层分类教学资源库等系统性举措,有效推动了人工智能教育由局部试点向全域覆盖转变、由规模扩张向内涵提升迈进。实践表明,该模式能够突破发展瓶颈,为区域人工智能教育高质量发展提供了可借鉴的实施范式。
Against the backdrop of rapid advancements in artificial intelligence technology,AI education in primary and secondary schools has become a critical pathway for implementing national strategies and fostering innovative talent.This paper,drawing on regional practices in Jilin Province,addresses the practical challenges currently faced in AI education at these levels,such as limitations in hardware and software facilities,teacher ca-pacity,and curriculum systems,and by proposing an R-M-R model(research-modeling-resources)framed around"project leadership,demonstration outreach,and resource coordination".Through systematic measures including forming disciplinary research teams,organizing provincial-level demonstration conferences,and developing a tiered and categorized teaching resource repository,this model has effectively facilitated the transition of AI edu-cation from localized pilots to comprehensive coverage and from scale expansion to quality enhancement.Prac-tice has demonstrated that this approach can break through development bottlenecks and provide a replicable im-plementation paradigm for high-quality regional AI education.
出处
《吉林省教育学院学报》
2025年第11期94-99,共6页
Journal of Jilin Provincial Institute of Education
关键词
人工智能教育
课题引领
示范辐射
资源协同
区域推进
R-M-R模型
artificial intelligence education
research guidance
demonstration radiation
resource collaboration
regional promotion
R-M-R model
