| Summary: | 碩士 === 明新科技大學 === 資訊管理研究所 === 96 === The editing of e-learning contents are quite different from the traditional training material, because the need of computer skills. It is very important to reduce the work load of editing e-learning contents. In addition, an adaptive content can provide more efficient learning process. We try to build an adaptive e-learning content editing tool which can be used to construct adaptive contents for different styled learners in an easy way.
In this dissertation, the adaptive contents are constructed according Kolb’s learning styles theory. Based on Kolb’s theory, a genetic algorithm is proposed to select the optimal material from a material base. The material base and selected adaptive contents are based on SCORM standard. By using the tool, teachers or editors only need to build the original e-learning content structures. The tool will automatically generate adaptive contents according learning goals, time bounds and learning styles.
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