The construction of a feedback digital content annotation system in the cloud computing environment

碩士 === 中原大學 === 資訊管理研究所 === 99 === Abstract The main drawback of traditional e-learning is user only could receive the knowledge one-way but not get feedback immediately when he has any questions. That normally comes out with bad learning performance and let user abandons this learning method....

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Bibliographic Details
Main Authors: Hao-Ching Huang, 黃浩慶
Other Authors: Ching-Jung Liao
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/30777155022658996632
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Summary:碩士 === 中原大學 === 資訊管理研究所 === 99 === Abstract The main drawback of traditional e-learning is user only could receive the knowledge one-way but not get feedback immediately when he has any questions. That normally comes out with bad learning performance and let user abandons this learning method. Basing on the improvement of technology, the new interactive feedback digital content annotation system was developed to solve browser constraint problem and integrate teaching, learning and interactive features together in widget. User could discuss issue and share information with each other, have a better learning effect and increase his learning willingness. However, the system may not afford the increasing amount of user, which could easily make system slow down even out of service. So the main purpose of this study is constructing an e-learning cloud computing circumstance which system resources can be adjusted with the elasticity of demand, also add nodes to expand the integration resource without modifying the application when system service amount extended. This study uses open source cloud computing suite OpenNebula to construct a private cloud environment which feedback digital content annotation system was installed. The system would have system performance test to realize the benefit of feedback digital content annotation system in the cloud computing environment. The study shows that feedback digital content annotation system which built on the cloud computing environment could have more resource configuration and expand flexibility, also could improve system performance, and solve the issue of traditional e-learning system for multimedia data processing overload that lead to system instability, increase system availability, improve overall system efficiency.