现代教育技术2026，Vol.36Issue(1)：94-104,11.DOI:10.3969/j.issn.1009-8097.2026.01.010
基于多智能体协作模式的区域教育数字化评估探索与应用实践
Exploration and Application Practice of Regional Educational Digital Assessment Based on Multi-Agent Collaborative Model
摘要
Abstract
Generative artificial intelligence,as a crucial driving force for the transformation of the educational ecosystem,not only accelerates the process of education digitization but also provides a more scientific and comprehensive new perspective for digital assessment,promoting the innovation of evaluation methods.However,with the development of large language models and multi-agent technologies,how to leverage their strengths in knowledge extraction,information retrieval,and collaborative gaming to address the pain points such as complex indicator construction,strong subjective in evaluation methods,and long evaluation cycles has become an important and urgent problem to be solved in regional educational digital assessment.Therefore,based on the multi-agent collaboration strategy,this paper proposed an intelligent digital assessment method for education.It used retrieval enhancement technology to dynamically generate assessment requirements and combined prompt word engineering technology to guide multi-role agents to collaborate in completing the design and weighting of the assessment index system.Meanwhile,three collaboration models,namely homogeneous collaboration,heterogeneous complementarity,and multiple integration,were designed for the different roles and functions of multi-agents.The feasibility and appropriateness of this method in the digital assessment of regional education were verified through practice.The experimental results showed that this method can enhance the accuracy,efficiency,and flexibility of assessment,providing a new technical means for scientific judgment and decision-making optimization in the digital development of regional education.关键词
多智能体/协作模式/检索增强生成/区域教育数字化评估Key words
multi-agents/collaborative mode/retrieval augmented generation/regional educational digital assessment分类
社会科学引用本文复制引用
陈梦,陈旭..基于多智能体协作模式的区域教育数字化评估探索与应用实践[J].现代教育技术,2026,36(1):94-104,11.基金项目
本研究受教育部哲学社会科学研究重大项目"教育数字化转型的国际比较研究"(项目编号:22JZD045)、中央高校基本科研业务"高等教育教学智能评估关键技术研究"(项目编号:CCNU25JCPT021)资助. （项目编号:22JZD045）
