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題名:基於模糊測度之Choquet積分模式的網路書寫評量系統
作者:鄭裕篤 引用關係
作者(外文):YU-DU JHENG
校院名稱:國立臺中教育大學
系所名稱:教育測驗統計研究所
指導教授:陳桂霞
劉湘川
學位類別:博士
出版日期:2009
主題關鍵詞:筆順評量筆順特徵筆畫國字結構評量模糊Choquet積分stroke order assessmentstroke order characteristicschinese character structure assessmentFuzzy Choquet integral
原始連結:連回原系統網址new window
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本研究利用網際網路結合平板電腦或電子白板等可以手寫輸入的工具,開發了筆順與國字結構線上評量系統,改善了傳統單機版單人使用的筆順評量系統,並在筆畫軌跡記錄方面改以坐標向量化處理,改善了插補法點數固定的缺點,使電腦截取的軌跡更近於真實軌跡。也應用筆畫斜率特徵定義了23種複合筆畫辨識法,讓電腦可以更明確辨識出書寫的筆畫。在比對筆順方面,將教育部的筆順規修訂為39種筆順細則,利用字體中潛在的筆順特徵筆畫,來診斷筆順迷失概念,研究中分析92位學生,在24個字的實測資料中,設定96處特徵筆畫筆順錯誤判斷點,有效診斷出學生1051處筆順錯誤情況,確實能正確且有效的診斷出學生書寫筆順錯誤,並給予即時學生的回饋與教師教學上的參考。
在國字結構評量方面,本研分析35位學生在24個字的實測資料,利用點畫差異值、分組中心差異值、覆概範圍差異值三項電腦系統比對特徵,與五位教師在用筆、結構與布局三個項度的評分指標,利用三種不同的加權計分情況下,電腦評分與教師評分相關係數可達0.76465,具有很高的相關性;且研究發現利用基於λ測度之模糊Choquet積分簡單迴歸模式,在5 Fold CV的測試資料,可以使電腦比對的數據與教師評分相關係數達的0.85476,因此本研究以模糊學習的概念,提供了結合客觀的電腦數據與主觀的人為評分的國字結構評分模式,讓電腦國字美醜評分更具參考價值。
This research was based on the integration of the Internet and tablet PC or electronic whiteboard, tools with hand written input function, with the development of character structure and stroke order assessment system. This on-line system solves the problem of one machine single use; this also made improvements using equidistance directions to process the stroke track records quantitatively and present them with realistic appearance. This system also utilized stroke slanting rate characteristics to define twenty-three combination stroke identification methods. This enables the computer to clearly identify hand written stroke orders. On the stroke order comparison, based on the stroke order rules from the Department of Education, we defined thirty-nine sub rules. Using the potential stroke order characteristics the system was able to diagnose the misconceptions of stroke orders. According to the research analysis, of the twenty-four words tested upon the ninety-two students, ninety-six characteristic stroke decision points were set previously, one thousand and fifty-one spots were effectively diagnosed. This system indeed was able to identify students’ mistakes in stroke orders and give instant feedback and comments for teacher’s reference.
On Chinese character structure assessment, of the twenty-four words tested, thirty-five students were analyzed. Utilizing three features of Chinese characters : point and draw differential coefficient, grouping center differential coefficient and cover area differential coefficient as a norm, in comparison with five teachers’ scoring index in use-pens, structure and arrangement, using three different kinds of scoring methods, the correlation between the two systems could reach 0.76465, which means there’s a high correlation; the research also found that using fuzzy Choquet integral regression models based on λ measure, under 5 Fold CV testing material, the correlation between the computer and teacher scoring index can reach as high as 0.85476. This research, based the thought on fuzzy learning, provided objective computer data and subjective human scoring system on Chinese character structure assessment model, made the beauty assessment in computer Chinese characters more valuable.
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