Microsoft Word - cet-01.docx CHEMICAL ENGINEERING TRANSACTIONS VOL. 46, 2015 A publication of The Italian Association of Chemical Engineering Online at www.aidic.it/cet Guest Editors: Peiyu Ren, Yancang Li, Huiping Song Copyright © 2015, AIDIC Servizi S.r.l., ISBN 978-88-95608-37-2; ISSN 2283-9216 The Evaluation System and Model of Students’ Ideological and Political Education in Colleges and Universities Based on the Grey System Theory Jing Zhanga, Ning Zhou*b a Agricultural University of Hebei; Baoding 071001, Hebei, China b Hebei Universities, Baoding 071002, Hebei, China zhouning@hbu.edu.cn Based on the present problems and flaws in the evaluation of students’ ideological and political education in colleges and universities, this paper analyses the evaluation system and methods of students’ ideological and political education in colleges and universities, and brings up a new evaluation system of students’ ideological and political education in colleges and universities and an improved evaluation model of students’ ideological and political education in colleges and universities based on grey system theory. After analysing the principles for the selection of evaluation indicators of college ideological and political education under the new situation, the system of evaluation indicators is set up. Based on the grey system theory and grey correlation analysis, the multi-attribute and multi-variant calculation model and analytical model are built to acquire the grey correlation coefficient and grey correlation degree between the evaluation scheme and standard scheme of college ideological and political education, so that the grey comprehensive correlation degree between the evaluation scheme and standard scheme is obtained, based on which the quality of the college ideological and political education schemes can be assessed. Last, through the contrastive analysis of ideological and political education plans in several colleges, the validity of the system and the models are proved. 1. Introduction College ideological and political education has always been an important component and a crucial part of implementation in higher education. Many scholars have conducted research and analysis on this topic from different perspectives and levels [Dong (2011), Xu(2010), Zhang et al (2011) and Huang et al (2013) reported], the attention of whom is especially paid to the performance of ideological and political education in colleges and universities as well as the evaluation system and the evaluation model. Theoretical achievement has been made to a certain degree, contributing to the practical guidance in college ideological and political education [Heng et al (2014), Li et al (2011), Lv et al (2014) and Yang et al (2010) reported]. However, there still remain some limitations and flaws in the present study on evaluation system and model of college ideological and political education. For instance, (1) the object the evaluation system aims at is unclear, and the evaluation framework and methods are not very scientific; (2) the evaluation content and evaluation models are not complete, leading to the diversified evaluation standard; (3) the evaluation approaches and methods are not consolidated and don’t keep pace with the time; (4) evaluation model cannot deal with the fuzzy information during evaluation process, resulting in imprecise results. Therefore, this paper processes the fuzzy information based on the grey system theory [J.B et al (2014), Liu et al (2012), R et al (2014) and Victor et al (2010) reported] and sets up an improved evaluation model of college ideological and political education after providing a new evaluation system of college ideological and political education. Evaluation index system of college ideological and political education. This paper will set up the evaluation system of college ideological and political education from four aspects, namely subjective factors, objective factors, process factors and result factors, as is shown in Table 1. DOI: 10.3303/CET1546200 Please cite this article as: Zhang J., Zhou N., 2015, The evaluation system and model of students’ ideological and political education in colleges and universities based on the grey system theory, Chemical Engineering Transactions, 46, 1195-1200 DOI:10.3303/CET1546200 1195 Table 1: Evaluation system of college ideological and political education System layer criterion layer indicator layer evaluation system of college ideological and political education U subjective factors 1U investment and infrastructure 11u professional skills of teaching staff 12u scientific organization structuring 13u development planning ability 14u Education management ability 15u Course design 16u objective factors 2U improvement of students' ideological and political quality 21u students' ideological and political proficiency 22u Education environment 23u Social satisfaction 24u integrate theory with practice 25u Social service awareness and ability 26u process factors 3U contemporaneity of ideological and political education 31u Scientific nature of ideological and political education 32u Systematic nature of ideological and political education 33u Advancement of ideological and political education 34u Variety of ideological and political education 35u Rationality of ideological and political education 36u Talent team of ideological and political education 37u Integration of teaching and research of ideological and political education 38u result factors 4U teaching efficiency of ideological and political education 41u Number of reform projects of ideological and political education 42u Number of awards of ideological and political education 43u Number of papers published on ideological and political education 44u Training activities of ideological and political education 45u industry-university-research results of ideological and political education 46u input-output ratio of ideological and political education 47u 2. Evaluation system of college ideological and political education 2.1 Multi-attribute and multi-variant qualitative analysis According to the evaluation system of college ideological and political education shown in Table 1, some of the indicators need qualitative descriptions, which are likely to be fuzzy. In order to provide unified descriptions and to deal with the fuzzy information, the qualitative description of the evaluation indicators should be standardized. This study adopts 0-1 ratio scale to conduct qualitative analysis of the evaluation index, as is shown in Table 2. 2.2 Multi-attribute and multi-variant quantitative analysis Similarly, according to the evaluation system of college ideological and political education showed in Table 1, some evaluation index need quantitative descriptions. As the quantitative indicators are divided into benefit indicators and cost indicators, the processing should be separated. 1196 Suppose the number of evaluation objects is m , then the value of indicator j about object i is , a b ij ij ij r r r    . If the indicator is benefit indicator, then the standardized value , a b ij ij ij v v v    is:             , , a a b a ij ij ij ij a b i i ij ij ij b a b a ij ij ij ij i i i i r inf r r inf r v v v sup v inf r sup v inf r                     (1) Considering the intervals between values, Formula (1) can also be written as:             , , a a b a ij ij ij ij a b i i ij ij ij b a b a ij ij ij ij i i i i r inf r r inf r v v v sup v inf r sup v inf r                     (2) If the indicator is cost indicator, then the standardized value , a b ij ij ij v v v    is:             , , b b b a ij ij ij ij a b i i ij ij ij b a b a ij ij ij ij i i i i sup v r sup v r v v v sup v inf r sup v inf r                     (3) Considering the intervals between values, Formula (3) can be also written as:             , , b b b a ij ij ij ij a b i i ij ij ij b a b a ij ij ij ij i i i i sup v r sup v r v v v sup v inf r sup v inf r                     (4) 2.3 Weighting of multi-indicators According to Table 1, factors in different criterion layers and indicators in different indicator layers have different weight. In this study, 1-9 ratio scale is adopted to acquire indicator weight, as is shown in Table 3. Based on Table 3, the evaluation analysis matrix Q can be obtained:  ij nxn qQ (5) Among which ij p refers to ratio scale value of the indicator while n refers to the number of evaluation indicators. The largest eigenvalue of the matrix Q is max  Q . According to the table RI R is obtained, and then the unified indicator CI R and the unified ratio CR R are also gained:    / 1maxCIR n n  Q (6) / CR CI RI R R R (7) If Formula (6) and (7) both meet the need of unified indicators, then the weight i w of indicator i is: 1 1 1 / n n n i ij ij j i j w q q      (8) 2.4 Grey correlation analysis of ideological and political education After the standardization of evaluation indicators, the grey standard scheme o V of the evaluation index can be obtained:  1, , , ,o o oj onV v v v     ，     1 1 , a b oj ij ij i m i m v max v max v          (9)  1, , , ,o o oj onV v v v      ，     1 1 , a b oj ij ij i m i m v min v min v          (10) Therefore the grey correlation coefficient ij  between college ideological and political education evaluation object i and grey standard scheme o V concerning indicator j is: oj ij oj ij i j i j ij oj ij oj ij i j min min v v max max v v v v max max v v               (11) In which  I s resolution ratio, usually assigned as 0.5. The grey correlation degree i  between evaluation object i and grey standard scheme o V is: 1197   1 n i j ij j w     (12) Similarly, the grey correlation coefficient ij   between evaluation i and grey standard scheme o V  concerning indicator j is: oj ij oj ij i j i j ij oj ij oj ij i j min min v v max max v v v v max max v v                (13) Among which  is resolution ratio, usually assigned as 0.5. The grey correlation degree i   between evaluation object i and grey standard scheme o V  is:   1 n i j ij j w      (14) 2.5 Model and algorithm implementation According to the analysis above, the higher grey correlation degree i  is, the better object i is; the higher grey correlation degree i   is, the worse object i is. Therefore, the quality of evaluation object i cannot be well reflected if grey correlation degree i  or grey correlation degree i   is referred to singularly. The grey comprehensive correlation degree i  need to be built:        2 2 2 / i i i i       (15) According to selective preference principle, if:  1, , , ,o i m k      (16) Then the evaluation object k is the best. Table 2: Qualitative analysis of evaluation index Fuzzy value Descriptions 1.0 excellent 0.8 good 0.6 qualified Fuzzy value Descriptions 0.4 Not so good 0.2 bad 0 Very bad 0.1,0.3,0.5,0.7,0.9 Between the adjacent descriptions Table 3: AHP evaluation and analysis scores descriptions 9 Comparing the two, the former one is extremely important 7 Comparing the two, the former one is very important 5 Comparing the two, the former one is relatively important 3 Comparing the two, the former one is a little more important 1 Comparing the two, the former one is as important as the latter one 2,4,6,8 Between the adjacent descriptions reciprocal Comparing the two, the latter one is more important 3. Case validation and analysis The college ideological and political education has always been an important part of the educational work of the education sector in X province. Periodical assessment of the college ideological and political education work is conducted in different types of colleges and universities. Through the field visit to those colleges and 1198 universities and the consultation to educational experts, this research has acquired data of the college ideological and political education from three normal colleges and universities in X province. The performance of ideological and political education is assessed by the evaluation system and model given by this paper. The research data is shown in Table 4. Table 4: Evaluation data of ideological and political education criterion layer weight indicator layer weight college A B C 1 U 0.200 11 u 0.224 0.6-0.7 0.8-0.9 0.8-0.9 12 u 0.224 0.8-0.9 0.7-0.8 0.8-0.9 13 u 0.107 0.8-0.9 0.7-0.8 0.6-0.7 14 u 0.107 0.7-0.8 0.8-0.9 0.6-0.7 15 u 0.179 0.7-0.8 0.8-0.9 0.7-0.8 16 u 0.179 0.8-0.9 0.7-0.8 0.8-0.9 2 U 0.300 21 u 0.180 0.8-0.9 0.7-0.8 0.6-0.7 22 u 0.180 0.95 0.95 0.90 23 u 0.132 0.8-0.9 0.7-0.8 0.7-0.8 24 u 0.186 0.7-0.8 0.6-0.7 0.8-0.9 25 u 0.132 0.6-0.7 0.8-0.9 0.7-0.8 26 u 0.187 0.8-0.9 0.6-0.7 0.6-0.7 3 U 0.350 31 u 0.125 0.8-0.9 0.8-0.9 0.6-0.7 32 u 0.125 0.7-0.8 0.8-0.9 0.8-0.9 33 u 0.125 0.8-0.9 0.7-0.8 0.7-0.8 34 u 0.125 0.8-0.9 0.8-0.9 0.6-0.7 35 u 0.125 0.7-0.8 0.8-0.9 0.8-0.9 36 u 0.125 0.7-0.8 0.6-0.7 0.7-0.8 37 u 0.125 0.8-0.9 0.6-0.7 0.8-0.9 38 u 0.125 0.8-0.9 0.6-0.7 0.7-0.8 4 U 0.150 41 u 0.191 0.7-0.8 0.6-0.7 0.7-0.8 42 u 0.070 20 17 14 43 u 0.153 8 10 7 44 u 0.070 95 100 81 45 u 0.182 0.7-0.8 0.7-0.8 0.8-0.9 46 u 0.153 0.8-0.9 0.8-0.9 0.7-0.8 47 u 0.182 0.8-0.9 0.8-0.9 0.7-0.8 Assign the unified scale to the evaluation index based on the given evaluation index standardization model. Use the grey correlation coefficient models to get the grey correlation coefficient of the three colleges and universities. And based on the given model of weighted grey correlation degree and the grey comprehensive correlation degree model, the grey correlation degree of the three colleges and universities are obtained in Table 5. From the results and analysis above, it can be seen that college A has the best performance and ability of ideological and political education among the three colleges and universities of the same kind. 1199 Table 5: Grey correlation degree of three colleges A B C i  i   i  i   i  i   1 U 0.728 0.694 0.767 0.656 0.676 0.669 A B C i  i   i  i   i  i   2 U 0.815 0.533 0.592 0.758 0.560 0.806 3 U 0.875 0.543 0.792 0.626 0.709 0.667 4 U 0.823 0.648 0.817 0.690 0.678 0.852 Weighted correlation degree of criterion layer 0.820 0.586 0.731 0.681 0.653 0.737 grey comprehensive correlation degree 0.662 0.535 0.470 4. Conclusions This paper studies the evaluation system and model of students’ ideological and political education in colleges and universities, brings up a new evaluation system of students’ ideological and political education in colleges and universities, and proposes an improved evaluation model of students’ ideological and political educatio n based on grey system theory. By analysing the differences between the evaluation object and the grey standard schemes, a comprehensive calculation model of grey correlation degree is set up, making the evaluation results more reliable, complete and accurate. In addition, based on grey system theory, the model has clear physical significance and computational process, which is helpful to the realization of the intellectualized design of college ideological and political education evaluation. References Dong X.J. 2011. Study on the evaluation system of College Ideological and Political Education [J]. Journal of Shenyang Normal University (Social Science Edition). 35(3): 17-19. Heng Y., Chen H., Zhan J. 2015. A Study of the Evaluation System for Postgraduates’ Ideological and Political Education from the Perspective of Holism [J]. Technology and Innovation Management, 35(4): 383 -385. Huang J.X., Huang S.C., Zhao J. 2013. Basic Principles of the Evaluation of College Ideological and Political Education [J]. Journal of Changchun University of Science and Technology. 8(1): 14-15. Li S.K. 2011. Reflection and Construction of Ideological and Political Education Evaluation System [J] . Journal of Sichuau University of Science & Engineering (Social Sciences Edition), 26(5): 67-70. Liu S.F. Fang Z.G. Yang Y.J. et al. 2012. General grey numbers and its operations [J] . Grey Systems: Theory and Application, 2(3): 4-15. Lv X.J. Zhang H.Y. 2014. Evaluation of flexible ideological and political education in university based on fuzzy mathematics model-Cases of three Universities in Qinghai [J]. Journal of Qinghai University (Natural Science), 32(3): 72-79. Rajesh R., Ravi V. 2014. Supplier selection in resilient supply chains: a grey relational analysis approach [J]. Journal of Cleaner Production, 86(1): 343-359. Saedon J.B., Jaafar N., Yahaya M.A., Saad N., Kasim M.S. 2014. Multi-objective Optimization of Titanium Alloy through Orthogonal Array and Grey Relational Analysis in WEDM [J]. Procedia Technology, 15:833- 841. Shen V. R.L. Chung Y.F. Chen T.S. 2009. A novel application of grey system theory to information security (Part I) [J]. Computer Standards & Interfaces, 31(2): 277-281. Xu L.T. 2010. Performance Evaluation System of College Ideological and Political Education in New Era [J] . Journal of Chifeng University, 31(2): 199-201. Yang X. W ang H.Y. 2010. Evaluation System of Ideological and Political Education Performance Based on Analytic Network Process [J]. Journal of Kunming University of Science and Technology (Social Sciences), 10(1): 85-90. Zhang Y.D. W ang X.G. 2011. Exploring the Evaluation of College Ideological and Political Education [J]. School Party Construction and Ideological Education, 1:43-44. 1200 http://www.sciencedirect.com/science/article/pii/S0959652614008774 http://www.sciencedirect.com/science/article/pii/S2212017314001728 http://www.sciencedirect.com/science/article/pii/S2212017314001728 http://www.sciencedirect.com/science/article/pii/S0920548907001183 http://www.sciencedirect.com/science/article/pii/S0920548907001183