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題名:應用二維語意變數於學習程度評估之研究--以體育保送生為例
書刊名:運動休閒管理學報
作者:陳振東林宜慶鄭慧翎 引用關係
作者(外文):Chen, Chen-tungLin, Yi-chingCheng, Hui-lin
出版日期:2005
卷期:2:1
頁次:頁101-117
主題關鍵詞:學習評估模糊理論語意度數Degree of learningFuzzy theoryLinguistic variables
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(4) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:4
  • 共同引用共同引用:19
  • 點閱點閱:25
因材施教強調的是以求學者個別的差異做為教學考量,因應學生不同的學習需要,並給予適當的引導和推動學生進步的動力。因此,有效及真實的評估學習程度能讓師生了解在,「教」與「學」的互動成效中,老師的授課內容以及學生的學習與理解的情況,作為因材施教及輔導的依據。為此,提供正確的學習程度評估,將有助於教學方式的改進與學習效果的提昇。然而,傳統的評估大都使用固定等距的區間法或絕對分數的簡易加權法,進行學習程度的評估,最後再給予對應的評估語意詞。事實上,在不同次的評量,雖有相同的分數並不代表相同的學習程度。為此,本研究應用模糊理論將每一次的評估分數轉換成學習程度的二維語意變數,再利用二維語意變數綜合評估模式整合各次的語意程度值,以計算每位學生的學習程度值。最後,以此二維語意變數值取代傳統單一的語意變數值的學習程度評定方式,利用二維語意變數值,不僅可輕易進行學生程度的優劣排序,亦可了解學生學習程度的群組分類。相較於傳統的成績評估方法,本研究提供一種更為客觀的學習程度評估模式,以供教學單位了解學生的學習程度及狀況,作為教學及輔導學生的改進,進而達到提升學習成效的目的。最後,本研究以體育保送生為例,進行個案分析,並藉由分析結果說明本研究所提出之評估模式的可行性。
It is important to consider the differences in students' ability of learning when preparing for teaching. In general, the educational tests are used mostly to assess students' academic performance in order to make a decision for each individual student performance. Therefore, a suitable assessment method will be helpful on evaluation of students' academic performance. Using the traditional grading and marking methods to assign grades are common ways for educational evaluation. However, those methods are difficult to assess students' degree of learning degree accurately because the subjective judgment of teethes in the evaluation process. Therefore, we proposed a in method to evaluate students' degree of learning degree by using 2-tuple linguistic variables. This method is used not only to assess the degree of learning of each student, but also to help teachers ranking the order of students' performance. In short, the proposed method can avoid the complicated operations aid assess students' degree of the learning in a more objective way.
期刊論文
1.Chen, S. M.、Lee, C. H.(1999)。New methods for students1 evaluation using fuzzy sets。Fuzzy sets and systems,104(2),209-218。  new window
2.Echauz, J. R.、Vachtsevanos, G. J.(1995)。Fuzzy Grading System。IEEE Transactions on Education,38(2),158-165。  new window
3.Herrera, F.、Martinez, L. A.(2000)。2-Tuple Fuzzy Linguistic epresentation Model for Computing with Words。IEEE Transactions On Fuzzy Systems,8(6)。  new window
4.Herrera, F.、Martinez, L. A.(2001)。Model Based on Linguistic 2-Tuples for Dealing with Multigranular Hierarchical Linguistic Contexts in Multi-Expert Decision-Making。IEEE Transactions On Systems,31(2)。  new window
5.Shavlik, J. W.、Mooney, R. J.、Towell, G. G.(1991)。Symbolic and neural learning algorithms: An experimental comparison。Machine Learning,6(2),111-144。  new window
6.Nolan, J. R.(1998)。An expert fuzzy classification system for supporting the grading of student writing samples。Expert Systems with Applications,15(1),59-68。  new window
7.Moshkovich, H. M.、Mechitova, A. I.、Olsonb, D. L.(2002)。Rule Induction In Data Mining: Effect Of Ordinal Scales。Expert Systems with Applications,22,303-311。  new window
8.Zhou, D.、Ma, J.、Turban, E.、Bolloju, N.(2002)。A fuzzy set approach to the evaluation of journal grades。Fuzzy Sets and Systems,131(1),63-74。  new window
9.Biswas, R.(1995)。An application of fuzzy sets in students' evaluation。Fuzzy sets and systems,74(2),187-194。  new window
10.Law, C. K.(1996)。Using fuzzy numbers in educational grading system。Fuzzy Sets and Systems,83(3),311-323。  new window
11.Zadeh, L. A.(1975)。The Concept of a Linguistic Variable and Its Application to Approximate Reasoning。Information Science,8(3),199-249。  new window
12.Zadeh, L. A.(1975)。The Concept of a Linguistic Variable and Its Application to Approximate Reasoning。Information Sciences,9(1),43-80。  new window
13.Zadeh, L. A.(1975)。The concept of a linguistic variable and its application to approximate reasoning。Information Sciences,8(4),301-357。  new window
14.何偉雲(19950600)。學生學習成就的模糊統計分析。屏東師院學報,8,167-180。new window  延伸查詢new window
15.鄭景俗、楊國隆(19980800)。模糊集合論在教育評分等級系統之應用。模糊系統學刊,4(1),81-89。  延伸查詢new window
16.鄭景俗、朱瓊濤、王佳文、廖述賢(20030800)。一新2-tuples模糊語言運算在資訊專業人員團隊績效評估之應用。人力資源管理學報,3(3),81-105。new window  延伸查詢new window
17.Zadeh, Lotfi Asker(1965)。Fuzzy sets。Information and Control,8(3),338-353。  new window
18.張鈿富、孫慶珉(19931000)。學習成就評量與模糊模式之分析。國立政治大學學報,67(上),57-73。  延伸查詢new window
會議論文
1.張家和、劉瑛展(1997)。模糊評分系統。中華民國第五屆模糊理論與應用會議。臺南:國立成功大學。191-196。  延伸查詢new window
2.張鈿富、孫慶民(1993)。學習成就之模糊評估。中華民國第一屆Fuzzy理論與應用研討會,10-15。  延伸查詢new window
3.羅昭強(2000)。模理理論在某學科科基本學力測驗上的應用。八十九學年度師範學院教育學術論文發表會。新竹市:國立新竹師範學院。  延伸查詢new window
4.Chiang, T. T.、Lin, C. M.(1994)。Application of fuzzy theory to teaching assessment。The 1994 Second National Conference on Fuzzy Theory and Applications。Taipei:Fuzzy Theory and Applications。92-97。  new window
研究報告
1.林清山(2000)。國小數學多元思考教材與整合型評估工具模組化之研究‧子計畫二:整合型評估工具模組化 (計畫編號:NSC89-2511-S-003-070)。  延伸查詢new window
學位論文
1.吳世宏(2003)。模糊理論應用於非限制性答案評估之研究(碩士論文)。大葉大學。  延伸查詢new window
2.吳孟勳(2003)。應用模糊集合理論與試題反應理論於學習評量之研究(碩士論文)。朝陽科技大學。  延伸查詢new window
3.楊慧玲(2002)。模糊語意變數計分之模擬分析研究(碩士論文)。臺中師範學院。  延伸查詢new window
4.莊仲寧(2002)。模糊數學方法在九年一貫課程學習領域綜合評量上之應用(碩士論文)。臺中師範學院。  延伸查詢new window
5.謝佳男(2001)。運動之路的起伏與調適--八位體育保送生的經驗(碩士論文)。國立臺灣師範大學。  延伸查詢new window
圖書
1.陳李綢(2001)。教育測驗與評估。五南圖書出版社。  延伸查詢new window
2.陳英豪、吳裕益(1998)。測驗與評估。高雄:復文圖書出版社。  延伸查詢new window
3.Kasabov, N. K.(1996)。Foundations of neural networks, fuzzy systems, and knowledge engineering。Cambridge, MA:MIT Press。  new window
4.Kaufmann, A.、Gupta, M. M.(1991)。Introduction to Fuzzy Arithmetic: Theory and Applications。New York:Van Nostrand Reinhold。  new window
5.Zimmermann, H. J.(1991)。Fuzzy set theory and its applications。Kluwer Academic Publishers。  new window
6.Klir, G. J.、Yuan, B.(1995)。Fuzzy Sets and Fuzzy Logic: Theory and Application。Prentice-Hall International Inc.。  new window
 
 
 
 
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