English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 56847/90564 (63%)
造訪人次 : 12287250      線上人數 : 82
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    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/987654321/92466

    題名: Strategy Selecting for Building Learning Community Explained by Fuzzy Measurement
    作者: Chang, Dian-Fu;Shih, Po-Chih
    貢獻者: 淡江大學教育政策與領導研究所
    關鍵詞: learning community;fuzzy statistics;fuzzy distance;strategy selection
    日期: 2013-10-11
    上傳時間: 2013-10-15 11:01:16 (UTC+8)
    摘要: This study aims to address how the strategies been identified for building better learning community in teacher groups. The study designed a fuzzy questionnaire and collected 332 teachers’ perceptions on the learning community in New Taipei City, Taiwan. The useful strategies were transformed by teachers’ perceptions on the importance of learning communities and their implementing feasibility. Fuzzy statistics was used to interpret the interval data, including fuzzy means, defuzzification, and fuzzy distance to find the better strategy for enhancing their learning community. The results reveal that different strategies will impact on sharing knowledge & practices, peer supports, community operations, and visions & management in learning communities. This study found that “acquiring new knowledge and information,” “being willing to try innovative concepts,” “investment of community manpower & resources,” and “constructing knowledge sharing mechanism” in the learning community have been listed in top concerns by teachers. Based on the results, this study provides some suggestions for related organizations to promote their learning communities.
    關聯: ISME2013 International Symposium on Management Engineering, 6p.
    顯示於類別:[教育政策與領導研究所] 會議論文


    檔案 描述 大小格式瀏覽次數
    Dian-fu__format_final_2013.09.27.docx153KbMicrosoft Word216檢視/開啟



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋