研究期間：10108~10207;Sharing resources and information has become the trend and goal for World Wide Web development. It also changes the way human beings acquire social knowledge. Thus, lots of researchers have devoted themselves into the related issue about streamlining the usage of UGC (User Generated Content). We continue the experiences on related e-learning systems development in the past, and propose the three-year project entitles: “Using Social Knowledge for Inquiry-based Lecture Arrangement and Learning Path Planning” based on three interesting research issues: e-Learning, Web Information Retrieval/Mining, and Social Computing, found in international academic societies. We are trying to increase the opportunities of communication and sharing for students who are in-study within National Central University, Taiwan, and Tamkang University, Taiwan by adopting the ELGG social engine. This also makes learners cultivate his/her abilities of thinking, organizing, and problem solving through the usage of an Inquiry-based learning strategy. In addition, Social Knowledge Network can be constructed in accordance with the analysis of experiences of interactions from participants include instructor, learner, and resources. Furthermore, to facilitate the discovery and reuse of social experiences, a series of search mechanisms are proposed. It aims at not only the optimization of related resources retrieval by instructors but discovery of learning methods and thinking patterns from other learners. More specifically, our contributions include two major parts. They are intelligent lecture content generation through syllabus topology and personalization learning path organization through the mining of user portfolio and social experiences.
