Evaluating teaching performance based on fuzzy AHP and comprehensive evaluation approach

被引:287
作者
Chen, Jeng-Fung [1 ]
Hsieh, Ho-Nien [1 ]
Do, Quang Hung [2 ]
机构
[1] Feng Chia Univ, Dept Ind Engn & Syst Management, Taichung, Taiwan
[2] Univ Transport Technol, Dept Elect & Elect Engn, Hanoi 10000, Vietnam
关键词
Fuzzy AHP; Fuzzy comprehensive evaluation; Teaching performance evaluation; Higher education; MULTIPLE ATTRIBUTES; SELECTION;
D O I
10.1016/j.asoc.2014.11.050
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Evaluating teaching performance is a main means to improve teaching quality and can plays an important role in strengthening the management of higher education institutions. In this paper, we present a novel framework for teaching performance evaluation based on the combination of fuzzy AHP and fuzzy comprehensive evaluation method. Specifically, after determining the factors and sub-factors, the teaching performance index system was established. In the index system, the factor and sub-factor weights were then estimated by the extent analysis fuzzy AHP method. Employing the fuzzy AHP method in group decision-making can facilitate a consensus of decision-makers and reduce uncertainty. On the basis of the system, the fuzzy comprehensive evaluation method was employed to evaluate teaching performance. A case application was also used to illustrate the proposed framework. The application of this framework can make the evaluation results more scientific, accurate, and objective. It is expected that this work may serve as an assistance tool for managers of higher education institutions in improving the educational quality level. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:100 / 108
页数:9
相关论文
共 30 条
[1]  
[Anonymous], 2010, OTECHNOL
[2]  
[Anonymous], 1991, Introduction to Fuzzy Arithmetic
[3]  
Bok D., 1986, HIGHER LEARNING
[4]  
Brooker R., 1998, Assessment and Evaluation in Higher Education, V23, P5
[5]   A fuzzy multi-criteria decision approach for software development strategy selection [J].
Büyüközkan, G ;
Kahraman, C ;
Ruan, D .
INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 2004, 33 (2-3) :259-280
[6]   A fuzzy-logic-based decision-making approach for new product development [J].
Büyüközkan, G ;
Feyzioglu, O .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2004, 90 (01) :27-45
[7]   Applying fuzzy hierarchy multiple attributes to construct an expert decision making process [J].
Chang, Che-Wei ;
Wu, Cheng-Ru ;
Lin, Hung-Lung .
EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (04) :7363-7368
[8]  
Chang D.-Y., 1992, Optimization Techniques and Applications, V1, P352
[9]   Applications of the extent analysis method on fuzzy AHP [J].
Chang, DY .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1996, 95 (03) :649-655
[10]   Determining the attribute weights of professional conference organizer selection: an application of the fuzzy AHP approach [J].
Chen, Ching-Fu ;
Lee, Chia-Ling .
TOURISM ECONOMICS, 2011, 17 (05) :1129-1139