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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/92698

    Title: Qualitative Text Mining in Student’s Service Learning Diary
    Authors: Hsu, Chia-Ling;Chang, ya-Fung
    Contributors: 淡江大學師資培育中心
    Keywords: weak-tie
    Date: 2012-09-26
    Issue Date: 2013-10-22 10:35:04 (UTC+8)
    Publisher: National University of Kaohsiung
    Abstract: Since Harvard University emphasized the important characters of college students, the service learning courses or activities is driving in educational system especially in higher education in order to building up the students global caring characters. This paper used the text mining technology to analyze the diary of the pre-service teachers attending the service learning activities. The purpose of this paper is to appear and analyze the service learning activities in order to finding out the learning outcome of students as well as providing a reflection of the service learning activities. The significance of this study is to provide a reflection and strategy form the practical data driven and using qualitative text mining technology. In other words, this study combined the Ground theory and text mining technology to find a storyline for reflection and to suggest some rare and important factors for improving the service learning activities.
    Relation: The 3rd International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2012), 6p.
    Appears in Collections:[Center for Teacher Education] Proceeding

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