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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118130

    題名: Adaptive Object Re-Ranking Mechanism for Ubiquitous Learning Environment
    作者: Yen, Neil Y.;Shih, Timothy K.;Jin, Qun;Zhou, Qingguo;Chao, Louis R.
    日期: 2011
    上傳時間: 2020-02-25 12:10:32 (UTC+8)
    出版者: Academy Publisher
    摘要: Ubiquitous Learning (U-Learning), as an emerging learning paradigm, makes it possible for learners to carry out the learning activities at any places and at anytime. With the advantages of the devices, learners can obtain a variety of supplementary materials from the Internet. In the scope of distance learning, LOR (Learning Object Repository) stands for managing and sharing of learning related materials (known as learning objects). However, some challenges may raise while performing these activities. For instance, a huge amount of learning objects may appear while learners utilize the search service provided by LOR. Learners have to spend time on collecting relevant resources for specific purposes. This situation may discourage the reusability of learning objects especially in a ubiquitous environment. In this paper, based on systematic re-examination of reuse scenarios, an adaptive mechanism, as a resource discovery and search middleware, was proposed to assist learners in obtaining possible objects under ubiquitous environment. Achievement of the proposed mechanism can produce search results adaptive to specific situations in order of similarity degree based on the mixed information. We try to filter out some irrelevant results by using the past usage history, current geographical information and input query, so as to enhance the efficiency of learning objects retrieval in a ubiquitous environment. As a pilot test, Apple iPhone was utilized to be the major client testbed
    關聯: Journal of Multimedia 6(2), p.129-138
    DOI: 10.4304/jmm.6.2.129-138
    顯示於類別:[資訊工程學系暨研究所] 期刊論文


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