| Summary: | 碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 96 === This thesis proposes an Adaptive E-Course Composition Process based on Particle Swarm Optimization (PSO) to compose appropriate e-learning materials into an adaptive e-course for individual learners. The advantages of the proposed process include: 1) the composition process of adaptive e-course combines Learning Concept Structure with Item Response Theory to analyze learners’ learning target and ability level. Hence, the adaptive e-course composed by the proposed process meets the demand of different learners to achieve adaptive learning; 2) the proposed process adopts PSO to facilitate that an instructor selects the appropriate e-learning materials from a mass of candidate materials, and then saves a lot of time and effort for editing an e-course; and 3) since the appropriate e-learning materials are automatically composed according to the demand of individual learners, the teaching quality of e-course composed by the proposed process is independent of an instructor’s teaching experience. That is, the teaching quality of the adaptive e-course is more stable. Experiment results based on proposed process in actual e-learning environments, indicate about 70% of the participants agreed that the adaptive e-course meets their abilities and learning targets.
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