Title :
The relationship between teacher’s performance and the merit system based on GM(1,N)
Author :
Hsiao-Ching Chen ; Chen, Mei-Huei ; Wu, Li-Nuo ; Wang, Keng-Yin
Author_Institution :
Dept. of Appl. Languages, Chienkuo Technol. Univ., Changhua
Abstract :
The main purpose of this paper is to apply GM(1,N) model to weigh problem on the topic of the relationship between teacherpsilas performance and the merit system. Teachers play key roles in facilitating successful teaching and administrative operating. The merit system - set by the Ministry of Education - has been practiced for over 50 years. Therefore, how it influences teacherpsilas quality and how to promote teacherpsilas performance and teaching quality attracts a lot of attention. First, this paper designs a research structure and creates a questionnaire based on the expertspsila experiences and the CTUpsilas merit system. This paper divided the questionnaire into 3 input blocks (15 factors) and 1 output blocks (1 factor). 50 teachers in Chienkuo Technology University had completed the questionnaire. Second, apply GM (1,N) model to help the calculation of the whole data. Also, a Matlab toolbox has developed to weigh the problem. Finally, this paper got two results. One is the factor 6; the present merit system pushes me to devote myself to getting involved in administrative duty, influences the output block most. This may imply that administrative duty is a plus to teacherpsilas overall performance. The other is the factor 3; the present merit system pushes me to cooperate with administrative duty, influences the output block least. This is indicative of teacherspsila perceptions of and attitudes toward school administrators. Then, this paper adopts a new approach, and can extend it into other relative fields.
Keywords :
education; statistics; teaching; Chienkuo Technology University; GM(1,N) model; Matlab toolbox; Ministry of Education; merit system; teacher performance; teacher quality; teaching quality; Fuzzy systems;
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2008.4630437