以服務為導向之學習格網建構

The Construction of a Service-Oriented Learning Grid

歐陽芳泉(Fang-Chuan OuYang)

指導教授 ： 廖慶榮

中原大學/商學院/資訊管理研究所/碩士(2004年)

https://doi.org/10.6840/cycu200400236

摘要

在本篇論文中，我們主要應用格網運算與格網服務的技術於線上學習/行動學習上，以改善現有學習系統之缺點。我們提出一行動學習格網的架構解決了分散的學習平台上學習資源難以分享的問題，以及學習物件之間的協同合作。此外，在行動學習格網無法普及學習的問題上，我們提出一普及學習格網之架構以整合與管理不同之學習平台與客戶端裝置，讓使用者可以在任何時間、任何地點都能夠輕鬆地學習。在另一方面，我們利用格網服務的核心技術來建立學習物件基於工作流程概念下的協同合作方式，讓分散於異質性環境的學習物件之工作流程與協同合作能夠利用格網服務流程定義語言和格網服務通知機制來得以實現。如此一來，學習者將能夠透過行動學習格網和普及學習格網系統來取得更多元與更豐富的學習內容。

關鍵字

格網運算 ； 格網服務流程定義語言 ； 格網服務 ； 學習物件 ； 行動學習格網 ； 普及學習格網

並列摘要

In this thesis, we mainly apply Grid computing and Grid service technology to e-Learning/m-Learning to improve the drawbacks of current learning systems. We propose a m-Learning Grid architecture to solve the difficulties of sharing learning resources distributed on different learning platforms and the collaboration of learning objects (LOs). Moreover, for the problem of pervasive learning in the m-Learning Grid, we propose a p-Learning Grid architecture to integrate and manage diverse learning platforms and client devices to make users can learn easily at anytime and anyplace. In the other hand, LOs collaboration relied on the workflow mechanism which was based on the kernel technology of Grid service. The workflow and collaboration of LOs distributed in heterogeneous environment were made by employing Grid Service Flow Language (GSFL) and Grid service notifications. Learners would get more abundant and pluralistic contents through m-Learning Grid and p-Learning Grid systems.

並列關鍵字

Grid Service ； p-Learning Grid ； Learning Objects ； GSFL. ； Gird computing ； m-Learning Grid

參考文獻

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