面向个性化教学的资源平台的设计与实现

发布时间：2018-05-21 11:58

  本文选题：云存储 + 个性化教学　； 参考：《华中师范大学》2015年硕士论文

【摘要】：随着云计算技术在教育领域的应用越来越广泛,教育开始进入到云服务的时代。再加上移动互联网的快速发展,一些新型的基于服务的个性化的学习模式开始出现,比如泛在学习,这些学习模式的开展,都有一个共同的基础,都具有功能强大的资源平台。传统的资源平台都是由平台需求方自己建设,这样就导致平台重复建设、投入成本高,并且不利于资源的共建共享。本文将云存储等相关技术引入到资源管理平台中,建设平台和资源利用率高、投入成本低,并且支持个性化教学的资源平台。本文在分析了面向个性化教学的资源平台建设的理论基础、技术基础、平台建设目标和业务需求的基础之上,采用面向服务的设计思想,提出了面向个性化教学的资源平台的系统框架结构。这种框架结构将整个平台分成三层,分别是应用层、服务层和数据层。这种体系结构不仅可以避免平台的重复建设、降低成本,由于可以进行个性化的服务定制,还支持用户利用平台开展个性化的教学。在对这种体系结构进行分析之后,详细的介绍了面向个性化教学的资源平台的功能模块设计和部分模块的数据库设计。面向个性化教学的资源平台有两个关键的问题需要解决,分别是日志收集和个性化资源推荐服务。对于日志收集,提出使用开源的分布式的海量日志采集系统Flume NG来实现日志的收集,并且使用MongoDB来存储平台中复杂的日志信息；而对于个性化资源推荐,则选择目前已有的并且非常适合平台的一种个性化资源推荐模型,这种模型不仅可以为用户推荐与用户已有兴趣相关的资源,还可以为用户推荐新的感兴趣的资源。论文采用Web Service相关技术,对面向个性化教学的资源平台进行实现,包括用户管理、资源管理、课程管理和个人空间等主要功能模块,并给出部分功能模块的实现效果。目前该平台已经在华中师范大学内部投入使用。
[Abstract]:With the application of cloud computing technology in the field of education, education began to enter the era of cloud services. In addition, with the rapid development of mobile Internet, some new service-based personalized learning models, such as ubiquitous learning, have a common foundation and powerful resource platform. The traditional resource platform is built by the demand side of the platform, which leads to the repeated construction of the platform, the high input cost, and is not conducive to the co-construction and sharing of resources. In this paper, some related technologies such as cloud storage are introduced into the resource management platform. The construction platform and the resource platform with high utilization ratio of resources, low input cost and supporting individualized teaching are introduced in this paper. On the basis of analyzing the theoretical foundation, technical foundation, platform construction goal and business requirement of the resource platform construction for individualized teaching, this paper adopts the service-oriented design idea. The system framework of resource platform for individualized teaching is presented. This framework divides the whole platform into three layers: application layer, service layer and data layer. This architecture can not only avoid the repeated construction of the platform and reduce the cost, but also support users to use the platform to carry out individualized teaching because of the individualized service customization. After analyzing this architecture, the function module design and database design of resource platform for individualized teaching are introduced in detail. The resource platform for individualized teaching has two key problems to be solved: log collection and personalized resource recommendation service. For log collection, Flume NG, an open source distributed massive log collection system, is proposed to realize log collection, and MongoDB is used to store complex log information in the platform. A personalized resource recommendation model, which is currently available and very suitable for the platform, is selected. This model can not only recommend the resources related to the users' interest, but also recommend new resources of interest to the users. In this paper, Web Service technology is used to realize the resource platform for individualized teaching, including user management, resource management, curriculum management and personal space, and the effect of some functional modules is given. At present, the platform has been put into use inside Huazhong normal University.
【学位授予单位】：华中师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：G434
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本文编号：1919095