Research on teaching quality evaluation model of distance education in colleges based on analytic hierarchy process

Author(s):  
Xiao long Wen
Author(s):  
Ke Han

There are many difficulties in the evaluation of the teaching quality of phys-ical education (PE) in colleges: the evaluation factors are complicated, the evaluation systems are incomplete, and the evaluation methods are not com-prehensive enough. To overcome these difficulties, this paper introduces an-alytic hierarchy process (AHP) to the evaluation of PE teaching quality in colleges. Firstly, the authors identified the influencing factors of PE teaching in colleges today. Next, an index system was established for the evaluation, and an evaluation model was set up based on the AHP and grey system theo-ry (GST). Finally, our method was proved feasible through example analysis. The research results provide new insights on the application of state-of-the-art theories in quality evaluation of higher education.


Author(s):  
Xiaokun Zhao ◽  
Chao Zheng

For physical education (PE) in colleges, the evaluation of the teaching quality is affected by various fuzzy and uncertain factors. Therefore, this paper probes deep into the fuzzy evaluation of the teaching quality of college PE, using analytic hierarchy process (AHP), fuzzy system theory and grey theory. Firstly, the factors affecting the teaching quality of college PE were analyzed theoretically, and the keys to improving that teaching quality were clarified. On this basis, the authors established an evaluation index system and a fuzzy evaluation model for the teaching quality of college PE. The proposed fuzzy evaluation model serves an innovative tool to evaluate the teaching quality of college PE. Apart from effective measurement of the teaching quality, the proposed model provides an important reference for improving the teaching quality of college PE.


Author(s):  
Nan Li

The evaluation of English teaching quality in colleges mainly faces two problems: the evaluation index system (EIS) is incomplete, and the evaluation model cannot easily handle complex fuzzy indices. To solve the problems, this paper explores deep into the fuzzy evaluation of college English teaching quality, and establishes a fuzzy evaluation model of college English teaching quality based on analytic hierarchy process (AHP). Firstly, theoretical analysis was combined with model calculation to create an improved multi-angle EIS for college English teaching quality. From both quantitative and qualitative analyses, a college English teaching quality evaluation model was constructed to handle fuzzy indices. Implementation results show that the proposed EIS and fuzzy evaluation model can effectively assess the quality of English teaching in colleges. The research results greatly promote the quality improvement of college English teaching.


2013 ◽  
Vol 694-697 ◽  
pp. 3667-3670
Author(s):  
Yan Hua Ruan ◽  
Min Dou ◽  
Ying Liu

This paper had built a scientific international education college students' comprehensive quality evaluation index system. It made full use of the analytic hierarchy process and fuzzy system to empirical analyze, made the international education college students' comprehensive quality evaluation model work in practice and provide a reference for international education college students' comprehensive quality evaluation, student annual academic assessment, mutual choice employment.


2016 ◽  
Vol 11 (2) ◽  
pp. 487-494
Author(s):  
Li Bo

As water abundance of aquifer of coal roof significantly influences roof water hazard, evaluating and grading the degree of water abundance are important in practical application. By analyzing the influencing factors of water abundance of aquifer, an evaluation index system and a grading standard for the water abundance were established integrating quantitative and qualitative indexes. Meanwhile, according to the grey relation characteristics of the major factors influencing water abundance, a multi-factor evaluation model for water abundance was constructed based on grey relational analysis and analytic hierarchy process. The model can objectively reveal the influences of the multiple factors on the evaluation of water abundance. Furthermore, the method was verified by comprehensively evaluating the water abundance of the aquifer of coal roof in a working face of Pingshuo Coal Mine in Shanxi, China using the model. The method provides basis for the research on the evaluation of water abundance of aquifer in coal roof.


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