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作 者:易云恒 潘济 YI Yunheng;PAN Ji(School of Rail Transportation,Southwest Jiaotong University Hope College,Chengdu 610400,China)
机构地区:[1]西南交通大学希望学院轨道交通学院,四川成都610400
出 处:《现代信息科技》2025年第2期189-194,共6页Modern Information Technology
基 金:四川省教育信息技术研究课题(kt202309286459124);西南交通大学希望学院2023年党建研究项目(19)。
摘 要:研究旨在应对教育中的学生个体差异、教学资源限制及师生互动缺乏等问题,介绍了一种基于大型语言模型的创新型教育教学知识问答系统。该系统整合了课堂知识和网络资源,构建了全面丰富的教学知识库,并通过精细的数据清洗与分类处理提升了数据质量。为优化性能,研究团队设计实现了高效的多模型检索机制,确保系统在不同硬件环境下均能快速响应。系统不仅提高了响应速度,降低了基础设施成本,而且适用于学校教育和党课培训等多个领域,对教育数字化转型及创新产生深远影响。This research aims to deal with the problems such as individual differences among students,limited teaching resources,and inadequate teacher-student interaction in education,and introduces an innovative education and teaching knowledge question and answering system based on Large Language Model.The system integrates classroom knowledge and network resources,builds a comprehensive and rich teaching knowledge base,and improves data quality through meticulous data cleaning and classification processing.To optimize performance,the research team designs and implements an efficient multimodel retrieval mechanism,which ensures the system could respond quickly in different hardware environments.This system not only improves response speed but also reduces infrastructure costs.It is suitable for multiple fields such as school education and party class training,and has a profound impact on the digital transformation and innovation of education.
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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