以社群知識探究為基礎之教、學路徑規劃暨內容安排之研究;Using Social Knowledge for Inquiry-Based Lecture Arrangement and Learning Path Planning

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > Research Project > Item 987654321/62948

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/62948

Title:	以社群知識探究為基礎之教、學路徑規劃暨內容安排之研究;Using Social Knowledge for Inquiry-Based Lecture Arrangement and Learning Path Planning
Authors:	施國琛;黃雅萍;許輝煌
Contributors:	國立中央大學資訊工程系
Keywords:	資訊科學;軟體;科學教育
Date:	2012-12-01
Issue Date:	2014-03-17 14:15:01 (UTC+8)
Publisher:	行政院國家科學委員會
Abstract:	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.
Relation:	財團法人國家實驗研究院科技政策研究與資訊中心
Appears in Collections:	[Department of Computer Science and information Engineering] Research Project

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