Research on Vocation Education Performance Evaluation Based on Fuzzy Analysis

Abstract

How to evaluate vocation education performance is one of the difficulties and hot research fields for the researchers related. The paper presents a new model for evaluating vocation education performance based on the principle of analytic hierarchy process and fuzzy comprehensive evaluation. First an evaluation indicator system of vocation education performance is designed through analyzing the characteristics of vocation learners’ behavior; Secondly in constructing the comprehensive evaluation model for vocation education performance, analytic hierarchy process and fuzzy comprehensive evaluation are combined and two level fuzzy evaluation is adopted to satisfy the dynamics, subjective and transitional characteristics of indicators and improve evaluation accuracy. Thirdly datum from three vocational colleges are taken for examples to verify the validity and feasibility of the model and the experimental results show that the model can evaluate vocation education performance practically and can help vocation education service providers take corresponding concrete measures to enhance its education performance. Introduction In the modern information era, vocation education is gradually prospering and spreads to the education systems of all the industries. Vocation education can effectively give play to the advantages of existing education resources, and brings new education concept, education methods and learning methods, making thousands of experts, scholars, teachers and students in new technologies constantly have a try and think about how to develop the vocation education utilization value. Whether vocation education is of high quality, whether it can reach anticipated education purpose and realize education value need a comprehensive, objective and overall evaluation system and a practical evaluation method. Thus, establishing perfect and reasonable evaluation standard and puting them into practice and evaluating them by adopting proper methods becomes an important topic to be solved [1]. Up to now, mathematical models adopted by evaluation of vocation education performance mainly include the following categories. 1 Analytic hierarchy process is a good method for quantitative evaluation via quantitative method, having the functions of establishing the ideal weight structure of evaluated object value and analyzing the weight structure of actually-built value by evaluated object; however, the method has strong limitations and subjectivity, with large personal error, not suitable for complicated system with lots of evaluation indicators[2]. 2 BP neural network evaluation method makes use of its strong capability in processing nonlinear problems to carry out evaluation of vocation education performance; the method has advantages like self-learning, strong fault tolerance and adaptability; however, the algorithm is easy to be trapped into defects like local minimum, over-learning, strong operation specialization[3]; 3 Fuzzy comprehensive evaluation is a method carrying out comprehensive evaluation and decision on system through fuzzy set theory, the greatest advantage of which is that it works well on system evaluation of multi-factor and multi-level complicated problems. However, the membership of fuzzy evaluation method as well as the Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM-13) Published by Atlantis Press, Paris, France. © the authors, 2013 0993 definition and calculation of membership function are too absolute, difficult to reflect the dynamics and intermediate transitivity of evaluation indicators of vocation education performance[4,5]. Fuzzy evaluation is a method that accurately solves inaccurate and incomplete information, the greatest advantage of which is that the fuzziness and initiative of human thinking can be naturally processed. Hence, this paper will design a indicator system for vocation education performance evaluation and use analytic hierarchy process to overcome the disadvantages of original fuzzy evaluation thus making colleges convenient to carry out vocation education performance evaluation. Analysis and Establishment of Evaluation Indicator System Vocation education performance evaluation is a complicated comprehensive operation system constituted by multiple elements, the numerous elements and subsystems of which exist in different forms, jointly assembly and forming competitiveness. This paper, based on the principle vocation learner behavior analysis, in the light of connotation characteristics of competitiveness evaluation Vocation education performance, especially on the basis of competitiveness analysis of experts consultations, combined with literatures, establishes a wide and scientific evaluation indicator system of vocation education performance evaluation [2,3,4]. The indicator system here include two categories. One category is vocation learner behavior which concludes 4 second-grade indicators, that’s initial state (including software condition for study, adaptability of vocation learning environment, hardware condition for study, learning motivation), learning attitude (including completion status of study plans, participation status of teaching activities, communication with classmates, completion status of difficult tasks, self-learning abilities, study notes and records, completion status of homeworks , examination status), communication and cooperation(including questioning frequency, opinion giving in discussion zones, study summary ability in discussion, communication ability with teachers and classmates, ability to put porward teaching suggestions, ability to answer questions, teamwork abilities), resource utilization(including ability to utilize network recourse, ability to record notes, ability to choose resources ,ability to release information ,ability to release information, ability to solve practical problems). Another category is indicators of vocation education provider which concludes 3 second-grade indicators, that are evaluation of vocation curriculums, evaluation of vocation education management, evaluation of teaching effects. Establishment of Multi-hierarchy Fuzzy Evaluation Model Steps of Fuzzy Overall Evaluation Method. Fuzzy overall evaluation in this paper is conducted according to the following five steps. The first the second steps are establish evaluation element set and confirm evaluation set respectively which can see reference 7. The third step is confirm the weight of evaluation indicator, in which AHP is introduced to obtain the weight wi of each evaluation indicator ui. The set constituted by each weight wi is called weight set W, as shown in formula 1. 0 w 1 w wn} w3, w2, {w1, W 1 i ≥ = =  = i n i  (1) There are generally the following steps to confirm indicator weight by AHP which include three steps, that are judgment matrix construction the weights calculation of all indicators. All of above steps can see reference 7. In step 3, Quantitative indicator used for measuring judgment matrix is called consistency indicator CI, as shown in formula 2. 1 n)/n max ( CI λ = (2) In formula 2[7], λmax is the maximum eigenvalue of judgment matrix, n is the number of comparison indicator. λmax is calculated as reference 7. Step 4:Single-factor Fuzzy Evaluation, Suppose that evaluation object carries out evaluation according to the ith factor in factor set U ui (i=1, 2, 3, ..., n), the subordination of which as to the jth factor in evaluation set V vj (j=1,2,3,...,m) is expressed as rij, formula 3 can be used to show the evaluation result of the ith factor ui. } , 3 , 2 , 1 { R i rim ri ri ri  = (3) Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM-13) Published by Atlantis Press, Paris, France. © the authors, 2013 0994 Ri in formula 3 is single-factor evaluation set, so formula 4 can be obtained, i.e. single-factor evaluation set of each factor.