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A Study on Improving Lecture Satisfaction using Taguchi Method
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 Title & Authors
A Study on Improving Lecture Satisfaction using Taguchi Method
Ree, Sangbok;
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 Abstract
Purpose: This article introduces a case study of using Taguchi Method to improve lecture satisfaction. Developed by Taguchi Genichi, this method has its strength in finding the control factor that is robust against noise factor. Finding the condition for such control factor has an effect of reducing the dispersion of the Lecture satisfaction. Methods: There are various factors in university classrooms. The factors which influenced the Lecture Satisfaction are analyzed by control factors and noise factors, control factors which is controllable are lecture completeness and thoroughly test the degree of supervision and noise factors which is not controllable is degree of physical and psychological Lecturer tired, then the experiment is conducted as guided by Taguchi`s experimental design, one semester are experimented by eight professor with 2 classes, after discussion of the results the optimal lecture condition is suggested. Results: To improve Lecture Satisfaction under noise factor of physical and psychological Lecturer tired, optimal condition are that lecture completeness have scenario note during lecture and thoroughly test the degree of supervision have two proctors during test. Conclusion: In this paper, we have succession case by applying Taguchi methods in Lecture Satisfaction. We can apply to improve service by applying the Taguchi methods. In the future we hope to have many succession cases.
 Keywords
Taguchi Method;Lecture Satisfaction;Control Factor of Lecture;Noise Factor of Lecture;
 Language
Korean
 Cited by
 References
1.
Cho, Peck. 1999. Saesidae Kyosubyeob. Seoul: Habdanbook.

2.
Deslaurier, Louis, Schelew, Ellen, and Wieman, Carl. 2011. "Improved Learning in a Large-Enrollment Physics Class." Science 332(May):862-864. crossref(new window)

3.
Joseph, J. Pignatiello, Jr., and John, S. Ramberg. 1985. "Discuss about: Raghu N. Kackar's Taguchi Method." Journal of Quality Technology 17(4):198-206.

4.
Kackar, Raghu N. 1985. "Off-line Quality Control, Parameter Design, and the Taguchi Method." Journal of Quality Technology 17(4):176-188.

5.
Ken, Bain, trans. 2005. What The Best College Teachers Do. Daniel's Stone Publishing Co.

6.
Kwon, Songho. 2000. Hardware is soft, Software is Hard. Seoul: Yangseowon.

7.
Louis Deslaurier, Ellen Schelew, and Carl Wieman. 2011. "Improved Learning in a Large-Enrollment Physics Class." Science 332(May):862-864. crossref(new window)

8.
Raghu N. Kackar. 1985. "Off-line Quality Control, Parameter Design, and the Taguchi Method." Journal of Quality Technology 17(4):176-188.

9.
Ree, Sangbok. 2001. "A Comparative analysis of three Signal-to-Noise ratios of dynamic characteristics Parameter design." Journal of Quality Management 29(4):82-91.

10.
Ree, Sangbok. 2003. Easy Taguchi technique from foundation to the field application, the 3rd ed. Sangjosa.

11.
Ree, Sangbok. 2009. "Method determining level of Noise Factor of Taguchi Method under various probability distribution." Journal of Quality Management 37(4):10-15.

12.
Ree, Sangbok. 2013. "Study on the Result Changes with the Size of the Variance in Taguchi Method and Factor Experimental." Journal of Quality Management 41(1):119-134. crossref(new window)

13.
Ree, Sangbok, et al. 2013. "A Study on Education Quality using Taguchi Method." 16th QMOD-ICQSS Proceedings, September 4-6.

14.
http://www.kyosu.net/news/articleView.html? idxno=2968