以語意格網為基礎的協同合作學習環境

A Semantic Grid-based Collaborative Learning Environment

曾永權(Yong-Quan Tzeng)

指導教授 ： 廖慶榮

中原大學/商學院/資訊管理研究所/碩士(2007年)

https://doi.org/10.6840/cycu200700819

摘要

本研究建構一個植基於語意格網上的協同合作學習環境，促使協同合作學習知識可再度被利用，學習者並可基於先前的知識加以延伸討論，進而擴充其學習的領域知識。由於網際網路的成熟發展，學習不再侷限於時間和空間上的限制，協同合作學習為團體學習的重要形式之一，團體內的成員可彼此分享知識，且每次的協同合作學習都是一個知識的產生。然而現有的協同合作學習系統，並不能有效找尋相關的領域知識，且於資訊過載的網路環境中，並非藉由單一伺服器即可搜尋所需資源。因此，本研究藉由本體階層概念以推論出相關協同合作的學習知識，學習者亦可透過格網服務之協助獲取所需的學習資源。
為了達到知識分享與再利用的目的，本研究使用本體做為知識庫的骨架，並架構於格網環境上，進而形成虛擬組織且使得組織內成員可彼此分享資源。學習者於搜尋過程中所輸入的自然語言，將經由中文斷詞系統萃取所需的詞彙，透過解譯本體轉換成上層概念，並與案例本體進行溝通，最後推論出相關的學習資源。學習者可透過知識庫中的學習資源進一步深入探討，將討論完的記錄檔位置封裝成格網服務，並將客戶端程式部署至本系統中，以利往後的學習者可調用格網服務來輔助其進行協同合作學習。
實作以Java程式學習為案例，結果顯示以語意格網為基礎的協同合作學習環境，使得協同合作學習知識可反覆被利用，並可提升找尋學習資源的效益來減少重複討論的情況發生。學習者基於知識庫中的學習資源得以延伸探究與討論，進而將其所獲知識擴充為學習領域的資源，如此可達成以語意格網為基礎的協同合作學習目的。

關鍵字

Java程式學習 ； 格網服務 ； 本體論 ； 協同合作學習 ； 語意格網

並列摘要

This study proposes a semantic grid-based collaborative learning environment. In order to achieve the benefit of collaborative learning knowledge, reduce the repeating discussion and searching resources time, we expand the knowledge of the previous discussions. Due to the development of the Internet, collaborative learning is no longer limited to time and space constraints. Collaborative learning is a form of group learning, and we can accomplish to share knowledge among group members and generate more knowledge in this learning style. However, the existing collaborative learning system can not help users to acquire knowledge effectively. In numerous network resources, a single server is impossible to collect all the information completely. Therefore, we use the concept of ontology to infer the interrelated collaborative learning knowledge to let students who participate the collaborative learning retrieve the information through the grid services.
In order to achieve knowledge share and reuse, the study uses ontology as a skeleton and structure the grid environment to from virtual community. The natural language as Chinese words what users type in the searching process would be broken to the vocabulary in the extraction system. Through Interpretation-Ontology transform into the upper concept and communicate whit Case-Ontology to infer relevant learning resources. Users can learn more in the knowledge base or further in-depth research. The discussion will be recorded and packaged into grid services. The client side code would also be deployed into the main systems, afterward users would get benefit of using grid services to support its conduct collaborative learning.
Implementation of a Java program as a case study, the results showed the semantic grid-based collaboration learning environment can be reused repeatedly and upgraded the effectiveness of learning resources to reduce the duplication discussion. Users of knowledge-based can explore more knowledge and extend the discussion for gaining more and more useful knowledge resources. In the conclusion, this would achieve the purpose of adopting semantic grid-based collaborative learning.

並列關鍵字

Grid Services ； Collaborative Learning ； Ontology ； Java Programs Learning ； Semantic Grid

參考文獻

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