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研究生: 商瓈丹
Shang, Li-Dan
論文名稱: Does Instructors’ Grading Policy Affect Student Evaluation of Teaching? Evidence from National Tsing Hua University
教師評分方式對教學意見調查影響之研究
指導教授: 林世昌
Lin, Eric S.
口試委員: 祝若穎
吳易樺
邱詩詠
學位類別: 碩士
Master
系所名稱: 科技管理學院 - 經濟學系
Department of Economics
論文出版年: 2016
畢業學年度: 104
語文別: 英文
論文頁數: 37
中文關鍵詞: 教學意見調查教師名聲
外文關鍵詞: Student Evaluation of Teaching, Reputation
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  • 本文利用國立清華大學之完善教學評鑑統計結果,首次量化教師名聲,揭露教師教學評鑑結果與教師名聲之間關聯性。我們發現教師歷年評比學生之成績高低以及教師歷年評比學生成績之公平性會顯著影響教學評鑑之結果。教師可藉由評比學生高分以及使班上學生分數較分散而獲得較好之名聲,因而獲得較優良之教學評鑑結果。其中,教師名聲與教學評鑑結果的關係會受到課程相關特性、教師相關特性以及學生相關特性影響。


    This paper takes advantage of a uniquely compiled data set from National Tsing Hua University to empirically evaluate whether the results of student evaluation of
    teaching (SET) are affected by the reputation of instructors with controlling other factors. Our results show that there exists a significant impact between reputation/justice and student evaluation of teaching (SET). In particular, our empirical results suggest
    that if instructors are willing to gain better SET outcome, what they should do is to establish their reputation by giving students higher grades and treating students fairly. We also find that courses, instructors and students related characteristics are important
    in regard to SET.

    Contents 1 Introduction 1 2 Background Information 3 2.1 SET in Taiwan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.2 SET in NTHU . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.3 Literature Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.3.1 SET and Student Related Factors . . . . . . . . . . . . . . . . . . . . 6 2.3.2 SET and Instructor Related Factors . . . . . . . . . . . . . . . . . . . 6 2.3.3 SET and Course Related Factors . . . . . . . . . . . . . . . . . . . . 7 2.4 SET and Reputation of Instructor . . . . . . . . . . . . . . . . . . . . . . . . 8 3 Data and Estimation Strategy 9 3.1 Data Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 3.1.1 Uniquely Quantify Reputation . . . . . . . . . . . . . . . . . . . . . . 11 3.1.2 Course Characteristics . . . . . . . . . . . . . . . . . . . . . . . . . . 11 3.1.3 Instructor Characteristics . . . . . . . . . . . . . . . . . . . . . . . . 11 3.1.4 Student Characteristics . . . . . . . . . . . . . . . . . . . . . . . . . . 12 3.2 Data Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 3.3 Model Specification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 4 Empirical Results 14 4.1 Classified by Course Related Characteristics . . . . . . . . . . . . . . . . . . 15 4.2 Classified by Instructor related Characteristics . . . . . . . . . . . . . . . . . 15 4.3 Classified by Student related Characteristics . . . . . . . . . . . . . . . . . . 16 5 Conclusion 17

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