基于中文分词算法和众包协同的高校课程思政资源共享与互助系统  

A sharing and mutual assistance system of ideological and political education resources for university courses based on Chinese word segmentation algorithm and crowdsourcing collaboration

作　　者：张露 童颖佳 马华 Zhang Lu;Tong Yingjia;Ma Hua(College of Information Science and Engineering,Hunan Normal University,Changsha 410081,China)

机构地区：[1]湖南师范大学信息科学与工程学院,长沙410081

出　　处：《现代计算机》2023年第14期91-95,共5页Modern Computer

基　　金：国家级大学生创新创业训练计划支持项目(202210542045);湖南省教育科学规划课题研究成果(XJK18BXX001)。

摘　　要：近年来,广大高校教师积极参与“课程思政”教改实践,但却经常面临创新思路单一、参考资源查找效率低、教学资源制作的技能和精力不足等困扰。针对现有研究的不足,设计并实现了一个基于中文分词算法和众包协同的高校课程思政资源共享与互助系统。该系统使用TF⁃IDF算法和众包机制来整合互联网上的课程思政资源,联结了多方平台和参与者,使用Spring Boot和Vue框架进行开发。该系统由协同互助、课程思政、讨论区、资源检索、个人中心等模块组成,可为高校教师提供课程思政教学的辅助支持,具有良好的应用价值。In recent years,more college teachers have participated in the teaching reform practice of“Curriculum Ideology and Politics”.However,they often face the problems of single innovative ideas,low efficiency in finding reference resources,and insufficient skills and energy in creating teaching resources.To address the shortcomings of the existing research,a sharing and mutual assistance system of ideological and political education resources for university courses is designed and implemented based on Chinese word segmentation algorithm and crowdsourcing collaboration.The system uses the TF‑IDF algorithm and crowdsourcing mechanism to integrate ideological and political resources of courses on the Internet,connects multiple platforms and participants,and is develops by using Spring Boot and Vue frameworks.The system consists of modules,including collaborative assistance,curriculum ideology and politics,discussion forum,resource retrieval,personal center,and on so,and can provide auxiliary support for college teachers in ideological and political education in course teaching and has good application value.

关 键 词：课程思政教学 资源共享与互助 中文分词算法 众包协同 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术] G641[自动化与计算机技术—计算机科学与技术]