A Semantic Grid-based Collaborative Learning Environment

• Main Authors: Yong-Quan Tzeng, 曾永權
• Other Authors: Ching-Jung Liao
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/69940894306256708457

碩士 === 中原大學 === 資訊管理研究所 === 95 === 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.