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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/27224


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/27224


    Title: 具備智慧型模糊評分機制之線上測驗系統架構
    Other Titles: An On-line Test System Framework with Intelligent Fuzzy Scoring Mechanism
    Authors: 楊亨利;應鳴雄
    Yang, Heng-Li
    Keywords: 線上測驗;電子化學習;填充題;模糊評分機制;回饋訊息
    Computer On-Line Testing;Fill-in-Blank Type Items;Fuzzy Scoring Mechanism;Feedback Message;E-Learning
    Date: 2006-01
    Issue Date: 2009-01-17 16:22:14 (UTC+8)
    Abstract: 線上測驗已成為電子化教育學習的重要議題，少數系統雖可支援填充題及其他非選擇題型測驗，但卻以非對即錯的二元樣形比對進行評分，而影響測驗系統的評分效力。目前系統缺乏提供教師設定個人化評分風格及相似語意詞庫，對於多位教師共用測驗系統平台環境時所產生的評分規則認知衝突，系統並未提供支援與解決，本研究使用模糊理論、相似語意詞庫及人工智慧概念等，發展具備模糊評分機制的線上到測驗系統。此外，本研究結合不同回饋類型，使測驗系統不再只是評量答案對錯及計算總分而已，還能更進一步告知受測者答案的原因，並提供該題目相關的教材內容幫助學習。本研究經由實驗程序發現，本系統的模糊機制的確能提高一般線上測驗系統的評量效力。
    In the past, a number of researches have been devoted to web mining. However, only page browsing behaviors have been studied. The actions performed in the pages were omitted. To the best of our knowledge, no previous researches were able to find out page-action browsing sequences. This paper proposes an algorithm, called WebPAN, to analyze customers’ browsing pages and their action paths. The algorithm’s efficiency was examined in our prototype. This study would help website managers to restructure their website layouts or advertisement positions more correctly in electronic commerce.
    Relation: 資訊管理學報, 13(1), 39-71
    Data Type: article
    Appears in Collections:[資訊管理學系] 期刊論文

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