基于MVC框架的思政教学管理关键技术研究  

Research on key technologies of ideological and political education management based on MVC framework

作　　者：耿洁 宋建申[1] GENG Jie;SONG Jian-shen(Department of Student Affairs,Northeast Petroleum University,Daqing 163318,Heilongjiang Province,China)

机构地区：[1]东北石油大学学生工作部,黑龙江大庆163318

出　　处：《信息技术》2024年第7期89-95,共7页Information Technology

基　　金：中国高等教育学会2022年度高等教育科学研究规划课题高校辅导员队伍建设与发展研究重点立项项目(22FD0217,22FD0218)。

摘　　要：思政教学模式不断更新,针对如何提高学生的学习效率和教师管理效率的问题,设计了一种基于模型-视图-控制器框架(Model View Controller,MVC)的思政教学管理系统。该框架采用B/S三层架构模式,在数据挖掘中采用了改进协同过滤优化算法。通过算法挖掘推荐思政教学管理的个性化资源,并对数据集中构建的系统进行推荐精度和问卷调查验证。实验证明,通过将框架优化和数据挖掘结合,该框架在思政教学管理系统优化中适应性较广泛,资源推荐性能较优越。The teaching mode of ideological and political education is constantly changing.Now,in order to maintain and improve students’learning rate and teachers’management efficiency,a management system of ideological and political education based on Model View Controller(MVC)is designed.The framework adopts B/S three-tier architecture mode,and adopts improved collaborative filtering optimization algorithm in data mining.The algorithm is used to mine and recommend the personalized resources of ideological and political education management,and the recommendation accuracy and questionnaire survey of the constructed system are verified in the data set.The experiment proves that by combining the framework optimization and data mining,the framework has wide adaptability in the optimization of the ideological and political education management system,and the resource recommendation performance is superior.

关 键 词：模型视图控制器 思政教学 协同过滤 K-MEANS B/S架构 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]