教師著作

Permanent URI for this collectionhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/37077

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Author: search.filters.author.Cheng, S. W.Has files: No

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    The searching effectiveness of social tagging in museum websites
    (International Forum of Educational Technology and Society, 2012-10-01) Cho, C. W.; Yeh, T. K.; Cheng, S. W.; Chang, C. Y.
    This paper explores the search effectiveness of social tagging which allows the public to freely tag resources, denoted as keywords, with any words as well as to share personal opinions on those resources. Social tagging potentially helps users to organize, manage, and retrieve resources. Efficient retrieval can help users put more of their focus on studying the resources rather than the retrieval process. This study was an investigation into the relations between social tags and user queries. Our findings were summarized into 4 main points: 1) 85% of the surveyed users agreed that social tags assisted them in searching for resources; 2) Over 40% of user queries searches, found their resources via the matching of social tags; 3) Social tags matched over 70% of user queries; 4) 14% of the social tags for a resource did not appear in the context of the resource. The experimental results demonstrated that social tags can improve users' efficiency in searching for resources.
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    A social tagging system for online learning objects
    (American Scientific Publishers, 2011-11-01) Cho, C. W.; Yeh, T. K.; Cheng, S. W.; Chang, C. Y.
    This paper introduces a social tagging platform, where social tagging allows the public to freely tag online resources, denoted as keywords, with any words as well as to share personal opinions on those resources. Social tagging potentially helps users to organize, manage, and retrieve learning resources, which can be regarded as a new kind of metadata. In this paper, we propose a social tagging platform, building on an online depository containing about 4000 learning resources. Specifically, in our system, users are encouraged to collaboratively mark miss-tagging or similar tags, such that the learning objects can be more easily described and more readily searched out. By adopting social tagging tools, the depository can be efficiently and effectively employed by large communities.