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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/158029


    Title: 上課出席與成績表現的關聯性：迴歸不連續性方法之應用
    Class Attendance and Exam Performance: An Application of Regression Discontinuity Design
    Authors: 陳鎮洲
    Contributors: 經濟系
    Date: 2016-09
    Issue Date: 2025-07-16 11:11:59 (UTC+8)
    Abstract: 許多的研究都指出大學生上課出席會增進其學習效果和考試表現，所以我們似乎可以利用這些研究結果，來鼓勵學生在上課時須出席，或是合理化教師希望學生出席課程的要求。不過，強迫學生出席課程雖然對學生可能產生一些正面的影響，也可能同時帶來一些負面的影響。本研究計畫主要的目的在於收集與整理有關大學生上課出席與課業表現的文獻，特別是與經濟學的教學有關的研究論文，並且建立適當的理論與假說，針對學習動機或是成效較差的學生進行分析與預測上課與否，如何影響其學業學習成效。本計畫與既有文獻最主要的差異與貢獻在於估計學習動機或是成效較差的學生的上課出席效果。本計畫預計設計並應用隨機實驗的方式，並利用迴歸不連續性方法以及追蹤資料的優勢，進而修正出席課程與否的決策行為，可能是內生性的問題，並獲得較為精確的上課出席對學生學習成效的影響估計。具體而言，本計畫主要分成兩個主要部分：（1）估計學習動機或是成效較差的學生，出席課程對其學習成效的影響。（2）分析影響學生課程出席與否的因素；
    Determinants of college students’ academic performance is an important issue in higher education. Among all factors, whether or not attending lectures affects students’ exam performance has received substantial attention. Most studies found that there is a positive relationship between attending lectures and exam performance. Based on this positive effect, many instructors have set up mandatory attendance policy to encourage their students coming to classes. However, if some students might not benefit from a mandatory attendance policy, particularly for those students in a large class, we probably do not want to implement this kind of policy. In this proposed project, I plan to study the class attendance effect, particularly focusing on the students who are less motivated. I will use several micro-level data sets from Taiwan. Firstly, a regression discontinuity experimental design will be used in order to address the issue of endogenous attendance decisions. Specifically, students with midterm exam grades below the 20 percentile will be required to attend the weekly in class lecture. Then, using the variable “whether students are required to attend classes” as an instrumental variable for students’ class attendance decision, we will be able to consistently estimate the class attending effect. The major difference and contribution of this project is that more control variables are used in the models. We also take advantage of the panel data nature of the data sets. Both factors help us to obtain better and more precise estimates of the effects.
    Relation: 科技部, MOST104-2410-H004-010, 104.08-105.07
    Data Type: report
    Appears in Collections:[經濟學系] 國科會研究計畫

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