本文選題：云存儲 + 個性化教學��； 參考：《華中師范大學》2015年碩士論文

【摘要】：隨著云計算技術在教育領域的應用越來越廣泛,教育開始進入到云服務的時代。再加上移動互聯(lián)網(wǎng)的快速發(fā)展,一些新型的基于服務的個性化的學習模式開始出現(xiàn),比如泛在學習,這些學習模式的開展,都有一個共同的基礎,都具有功能強大的資源平臺。傳統(tǒng)的資源平臺都是由平臺需求方自己建設,這樣就導致平臺重復建設、投入成本高,并且不利于資源的共建共享。本文將云存儲等相關技術引入到資源管理平臺中,建設平臺和資源利用率高、投入成本低,并且支持個性化教學的資源平臺。本文在分析了面向個性化教學的資源平臺建設的理論基礎、技術基礎、平臺建設目標和業(yè)務需求的基礎之上,采用面向服務的設計思想,提出了面向個性化教學的資源平臺的系統(tǒng)框架結構。這種框架結構將整個平臺分成三層,分別是應用層、服務層和數(shù)據(jù)層。這種體系結構不僅可以避免平臺的重復建設、降低成本,由于可以進行個性化的服務定制,還支持用戶利用平臺開展個性化的教學。在對這種體系結構進行分析之后,詳細的介紹了面向個性化教學的資源平臺的功能模塊設計和部分模塊的數(shù)據(jù)庫設計。面向個性化教學的資源平臺有兩個關鍵的問題需要解決,分別是日志收集和個性化資源推薦服務。對于日志收集,提出使用開源的分布式的海量日志采集系統(tǒng)Flume NG來實現(xiàn)日志的收集,并且使用MongoDB來存儲平臺中復雜的日志信息；而對于個性化資源推薦,則選擇目前已有的并且非常適合平臺的一種個性化資源推薦模型,這種模型不僅可以為用戶推薦與用戶已有興趣相關的資源,還可以為用戶推薦新的感興趣的資源。論文采用Web Service相關技術,對面向個性化教學的資源平臺進行實現(xiàn),包括用戶管理、資源管理、課程管理和個人空間等主要功能模塊,并給出部分功能模塊的實現(xiàn)效果。目前該平臺已經(jīng)在華中師范大學內(nèi)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.
【學位授予單位】：華中師范大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：G434
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本文編號：1919095