基于LLM的“混合式教学设计”智能体构建与应用研究  

Research on the Construction and Application of Intelligent Agents for“Blended Teaching Design”Based on LLM

作　　者：肖洪云 徐佳钰 XIAO Hongyun;XU Jiayu(College of Computer Science and Engineering,Cangzhou NormalUniversity,Cangzhou,Hebei 061001,China;College of Costume,Cangzhou Vocational Technical College,Cangzhou,Hebei 061001,China)

机构地区：[1]沧州师范学院计算机科学与工程学院,河北沧州061001 [2]沧州职业技术学院服装学院,河北沧州061001

出　　处：《沧州师范学院学报》2025年第1期97-102,共6页Journal of Cangzhou Normal University

基　　金：2023-2024年度河北省教育厅高等教育教学改革研究与实践项目“基于PBL项目式学习的混合式课程建设与实践——以省一流建设课程《现代教育技术》为例”,编号:2023GJJG513。

摘　　要：当前,混合式教学已成为高等教育教学的新常态。基于大型语言模型(LLM)的“混合式教学设计”智能体构建和应用的研究,使混合式教学设计智能化成为可能。以LLM为核心,提出了“混合式教学设计”智能体的基本框架,主要包括角色设定、行为配置、优化完善三个模块。在项目式学习场景中,通过“师-生-机”三位一体的多维度协同,实现了智能体在确定项目驱动问题、设计项目方案、完成项目作品及完成项目作品评价等环节中的应用,促进了学生对知识的深度理解和应用,极大地提高了教学效果。尽管“混合式教学设计”智能体在教学实践中表现出色,但由于对其研究和应用尚处于探索阶段,还需进一步深化研究,使其更精准地赋能教与学。Currently,blended learning has become the new norm in higher education teaching.The research on the construction and application of intelligent agents for“blended learning design”based on Large Language Models(LLMs)makes it possible to make blended learning design intelligent.Based on LLM,a basic framework for“blended learning design”intelligent agents has been proposed,which includes three main functional modules:role setting,behavior configuration,and optimization and improvement.In project-based learning scenarios,through the multi-dimensional collaboration of“teacher-student-machine”,the application of intelligent agents in determining project driven problems,designing project plans,completing project works,and evaluating project works has been achieved,promoting students’deep understanding and application of knowledge and greatly improving teaching effectiveness.Although the intelligent agent of“blended learning design”has performed well in teaching practice,its research and application are still in the exploratory stage,and further in-depth research is needed to empower teaching and learning more precisely.

关 键 词：LLM 混合式教学设计 智能体 项目式学习 人机协同 

分 类 号：G434[文化科学—教育学]