基于聚类规则挖掘的思政教育教学素材整合系统设计  

Integrated System Design of Ideological and Political Education Teaching Materials Based on Clustering Rules Mining

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作  者:南颖 NAN Ying(Conservatory of Music,Xianyang Normal University,Xianyang Shaanxi 712000,China)

机构地区:[1]咸阳师范学院音乐学院,陕西咸阳712000

出  处:《信息与电脑》2024年第6期239-241,共3页Information & Computer

摘  要:传统思政教育教学素材整合系统技术陈旧,整合效率低。为此,研究基于聚类规则挖掘的新系统。设计系统硬件,明确所需设备。软件部分包括建立素材库、数字化处理、聚类分类和动态扩展整合。测试表明,新系统在大量素材时能显著提高处理效率,有效整合教学资源。The integration system technology of traditional ideological and political education teaching materials is outdated and the integration efficiency is low.To this end,a new system based on clustering rule mining was studied.Designed the system hardware and identified the required equipment.The software part includes establishing a material library,digital processing,clustering and classification,and dynamic expansion and integration.Tests have shown that the new system can significantly improve processing efficiency and effectively integrate teaching resources when dealing with large amounts of materials.

关 键 词:聚类规则挖掘 思政教育教学 素材整合 整合系统设计 

分 类 号:TP391[自动化与计算机技术—计算机应用技术]

 

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