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系統識別號 U0026-3108201121374000
論文名稱(中文) 使用群集教師評量知識之推薦出題輔助系統
論文名稱(英文) A Recommendation Assessment System with Clustered Assessment Knowledge of Teacher
校院名稱 成功大學
系所名稱(中) 工程科學系碩博士班
系所名稱(英) Department of Engineering Science
學年度 99
學期 2
出版年 100
研究生(中文) 朱玠蓓
研究生(英文) Chieh-Pei Chu
電子信箱 pippi.chu@gmail.com
學號 n96981165
學位類別 碩士
語文別 中文
論文頁數 64頁
口試委員 指導教授-王宗一
口試委員-朱治平
口試委員-李建億
口試委員-李明哲
中文關鍵字 推薦系統  出題輔助系統  群集分析  評量知識 
英文關鍵字 Recommendation system  Computer-assisted item generation  Clustering analysis  Assessment knowledge 
學科別分類
中文摘要 評量在教學過程中佔有不小的重要性,現今教師設計評量時,大多使用試題光碟或線上題庫,但是這些媒體卻沒有足夠的試題篩選機制,也沒有針對教師評量設計進行指引或是題推薦,使得設計經驗較少之教師所編製的評量,可能無法有效測出學生的學習情況,因此,本研究設計出推薦出題輔助機制,利用群集分析技術達成協同式推薦,在教師出題時給予試題及試題參數分佈的建議,並提供多樣化的試題篩選機制,以減輕教師出題時的負擔。實驗邀請十八位國小教師,針對小學三年級下學期之自然與生活科技進行出題,並在結束後使用問卷與訪談瞭解教師對系統的接受度與建議。結果顯示,教師對推薦出題輔助系統的評價頗高,認為系統給予的參數配置能幫助教師提高評量的效度與信度,且透過這樣的方式,教師自身的出題知識能有效地再利用,達到共享與一同成長的目的。
英文摘要 Assessments are of great importance in teaching and learning. Currently in Taiwan, teachers in elementary schools usually use items from online item banks or question banks of course accompany CDs to compile their assessments. But these media do not have proper mechanisms for filtering test items, nor do they have guidelines for the item distribution information or item recommendations. It makes teachers who have less experience in the design of assessments unable to effectively measure students’ learning outcomes. Therefore, this study proposes a test item recommendation mechanism to assist teachers. The mechanism combines clustering analysis and collaborative filtering to help teachers compiling their assessments easily by recommending for teachers the best-fit test items available in the item banks and showing their allocation information.
The experiments invited eighteen teachers in Taiwan, by using the system, to edit assessments for science courses of the third grade in elementary school. They were also asked to answer a questionnaire afterwards and receive an interview for evaluating the system. The result shows that most teachers are satisfied with the system and agree that it actually reduces teachers’ pressure and load in compiling assessments. They are more than happy to share the knowledge of assessment in the way in the system.
論文目次 中文摘要 I
ABSTRACT II
誌謝 III
目錄 IV
表目錄 VI
圖目錄 VII
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 1
第三節 研究貢獻 2
第四節 論文架構 2
第二章 文獻探討 4
第一節 小學之教育評量現況 4
第二節 試題參數分析 6
第三節 推薦系統 7
第四節 資料探勘之K-means群集分析技術 8
第三章 系統架構與實作 10
第一節 系統設計 10
第二節 系統架構 11
第三節 系統模組介紹 12
第四節 出題知識擷取與推薦方法 17
第五節 系統實作(開發環境與介面) 20
第四章 實驗設計與結果分析 34
第一節 實驗設計與實驗架構 34
第二節 實驗流程 36
第三節 TAM問卷設計 37
第四節 結果與討論 40
第五章 結論與建議 60
第一節 結論 60
第二節 建議 60
參考文獻 62
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