| Summary: | 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.
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