基于Hadoop平台的大学多媒体教学管理研究  

Research on university multimedia teaching management based on Hadoop platform

作　　者：王雪芹 WANG Xueqin(Huanghe Science and Technology University,Zhengzhou 450000,China)

机构地区：[1]黄河科技学院,河南郑州450000

出　　处：《现代电子技术》2020年第9期175-178,共4页Modern Electronics Technique

摘　　要：伴随教学方式的改革,高校教学资源逐渐增多,有效管理教学资源是目前各大高校关注的核心问题。为此,设计与实现一种基于Hadoop平台的大学多媒体教学管理系统。教师、学生等用户在系统用户层输入身份信息登录系统便可进入业务逻辑层,用户在系统业务逻辑层点击自己所需程序,查询教学资源,业务逻辑层将用户指令传输至系统数据层,数据层应用基于粒子群的教学资源推荐算法,获取与用户查询内容最相符的教学资源提供给用户,实现大学教学资源的有效管理。将该系统应用于某大学会计专业多媒体教学教室后,学生与教师对该系统应用效果较为满意,系统可按照学生不同需求将不同阶段会计课程推荐给学生,且该系统吞吐量不受教学程序数量变化所干扰,教学资源管理效果较好。With the reform of teaching methods,university teaching resources increase gradually. The effective management of the teaching resources is an essential question that all the universities focus on at present. For this purpose,a multimedia teaching management system based on Hadoop platform is designed and implemented. Teachers and students input the identity information in the user layer and login the system to enter the business logic layer. They click the procedures required to query the teaching resources in the business logic layer. Then user instructions in the business logic layer is transmitted to the data layer. In the data layer,the teaching resource recommendation algorithm based on the particle swarm optimization is used to obtain the teaching resources that are most consistent with the user′s query content,and provide them to the user to achieve an effective management of university teaching resources. After applying the system to the multimedia teaching classroom of the accounting major of a university, the students and teachers are satisfied with the effect of the system. The system can recommend accounting courses at different stages to students as their needs. Moreover,its throughput is not interfered by the change of the number of teaching programs. Therefore,the effect of teaching resource management is good.

关 键 词：HADOOP平台 大学教学资源 多媒体教学管理系统 粒子群 教学资源推荐 系统吞吐量 

分 类 号：TN99-34[电子电信—信号与信息处理] TP181[电子电信—信息与通信工程]