白如婷

『Knowledge』is considered as the most valuable asset of the organization in the age of the knowledge-driven economy. Knowledge accumunacating and sharing effectively could make its value maximum. It has been a trend to obtain the knowledge and learn by means of the new way so-called e-learning. However, e-learning uses the approach of 『one size fits all』 to offer the teaching materials, which mostly lacks of thinking about the learners’ prior knowledge, characteristics, preferences and so on, and that’s not adaptive and flexible enough. In addition, it should integrate the learning theory into e-learning to achieve the learning requirements, but not to ignore that learning is the essence of e-learning. Therefore, how to give the right guidance, offer the personalized service, and provide with adjustment are the key issues of the research. The purpose of the thesis is to develop an adaptive mechanism for e-learning path planning based on the theories of genetic algorithm and dynamic planning. The features of the mechanism consists of four parts, including adaptation of content, procedure, presentation and adjustment. The results of the study will provide the right learning path to learners for assisting in learning, inspiring the learning interests and promoting the learning effects.