An Adaptive Curriculum Portfolio System for Next Generation E-Learning Based on the Rich Internet Application Concept

• Main Authors: Chao-Tien Yeh, 葉昭佃
• Other Authors: Frank S.C. Tseng
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/28542583652503748602

碩士 === 國立高雄第一科技大學 === 資訊管理所 === 95 === 　　The rapid growth of Internet has accelerated the speed of knowledge creation and delivery. To catch up with the evolution of progressive technologies, people have to keep on learning new knowledge continuously. Due to the time and space limitation of traditional learning models, e-learning has already been recognized as an effective media for contemporary learners. Therefore, to offer knowledge workers an effective learning environment, it is indispensible to establish an adapative learning platform. However, casual learners may deviate from the original course direction with frustration, if the learning platform lacks of auxiliary guidance mechanism. 　　In this thesis, we will propose an approach based on the Analytical Hierarchical Processing (AHP) method to create a decision database, which collects all of the involved teachers＇ opinion and experience, and build an adaptive learning platform for providing a flexible course portfolio for various learners. Besides, to make the learning platform more attractive, we employ the concept of Rich Internet Application (RIA) to implement a prototype for the next generation e-learning platform conforming to the concept of Web 2.0. Based on such platform, the system can be extended by dynamically pluging new functionalities into the system. We believe our platform can provide a valuable testbed for the next generation e-learning environment.