Keywords
How to Cite
Abstract
Background: Teaching quality evaluation in art education faces unique challenges because of its inherent subjectivity and multidimensional characteristics. Objective: This study proposes an integrated evaluation approach combining the Analytic Hierarchy Process (AHP) and the fuzzy comprehensive evaluation method to assess the quality of art teaching in higher education. Methods: Data were collected from 300 undergraduate students across three academic years through structured questionnaires. The evaluation framework included four primary dimensions: teaching content, teaching methods, teaching attitude, and teaching effects. Results: The results revealed an overall teaching quality membership degree of 0.2322, with teaching content (weight = 0.36) and teaching methods (weight = 0.26) identified as the most influential factors. Teaching attitude (weight = 0.27, membership degree = 0.18) and teaching effects (weight = 0.11, membership degree = 0.16) demonstrated considerable potential for improvement. Conclusion: The findings indicate that the integrated approach provides a more systematic and objective mechanism for evaluating art teaching quality, offering practical insights for teaching improvement and curriculum development. This study contributes to the methodological advancement of teaching quality assessment in art education and provides practical implications for educational administrators and policymakers.
References
[1] Ahmad, N., & Qahmash, A. (2020). Implementing Fuzzy AHP and FUCOM to evaluate critical success factors for sustained academic quality assurance and ABET accreditation. *PloS One*.
[2] Fan, X., Tian, S., Lu, Z., & Cao, Y. (2022). Quality evaluation of entrepreneurship education in higher education based on CIPP model and AHP-FCE methods. *Frontiers in Psychology*.
[3] He, D., & Zhang, Q. (2017). The application of analytic hierarchy process and fuzzy comprehensive evaluation method for the evaluation of enterprise training effectiveness. *International Journal of Computational Science*.
[4] Hongmei, Z. (2021). Design and analysis of teaching effect evaluation based on AHP fuzzy comprehensive evaluation method. *Artificial Intelligence and Complex Systems*.
[5] Huang, S., Wang, Y., & Chen, T. (2022). A fuzzy comprehensive evaluation method on the construction of high-level universities based on data from Jiangsu Province. *Scientific Programming*.
[6] Kahraman, C., Onar, S. C., & Öztayşi, B. (2020). Integration of fuzzy AHP with other fuzzy multicriteria methods: A state-of-the-art survey. *Journal of Multiple Criteria Decision Making*.
[7] Kong, F. (2020). A fuzzy information evaluation model for scientific innovation of art talents in colleges. *International Journal of Emerging Technologies in Learning*.
[8] Liu, M. (2024). Multiple-attribute group decision-making under 2-tuple linguistic Pythagorean fuzzy sets and applications to art teaching quality evaluation in higher education. *Soft Computing*.
[9] Lyu, X. Z., Huang, Y., & Tian, J. (2022). Design of teaching effect evaluation algorithm of flipped classroom based on fuzzy comprehensive evaluation. *Mobile Information Systems*.
[10] Lyu, Y., Yang, X., & Yao, J. (2020). Comprehensive evaluation and analysis of teaching and research performance of art majors. *International Journal of Emerging Technologies in Learning (iJET)*.
[11] Ma, L. Evaluation analysis of music education in China based on fuzzy AHP method.
[12] Qingying, L., Loong, A. H., & Nipo, D. T. Brand innovation performance evaluation of China’s art education enterprises based on AHP and fuzzy comprehensive evaluation.
[13] Tang, M., Si, X., Wang, R., & Gao, W. (2021). A new fuzzy comprehensive evaluation model for influencing factors of physical education. *International Journal of Emerging Technologies in Learning*.
[14] Wang, G., Chen, Z., & Wang, G. (2023). Modified cross-entropy methodology for art teaching effectiveness evaluation of primary schools with triangular fuzzy neutrosophic information. *Journal of Intelligent & Fuzzy Systems*.
[15] Wang, Z., & Lyu, D. (2021). Design and realization of a fuzzy comprehensive evaluation system for music teaching in higher education. *International Journal of Emerging Technologies in Learning*.
[16] Xia, H., & Wang, Z. (2015). Research on fuzzy comprehensive evaluation of micro-lecture based on analytic hierarchy process (AHP). *International Conference of Educational*.
[17] Xu, X. H., Ye, L., Pei, Y., Zhao, L., & Wang, J. J. (2022). Research on the comprehensive evaluation of the higher education system based on FCE and ARMA models. *Complexity*.
[18] Yang, L. (2020). Comprehensive evaluation of music course teaching level based on improved multi-attribute fuzzy evaluation model. *International Journal of Emerging Technologies in Learning*.
[19] Yu, Y. (2022). Evaluating teaching quality in colleges and universities of public art education using the AHP fuzzy comprehensive method. *Scientific Programming*.
[20] Zhou, Q. (2023). Effectiveness evaluation of mixed teaching for public art majors combined with fuzzy data processing technology. *International Conference on Data Science &*.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright (c) 2025 The Author(s). Published by Journal of Global Arts Studies.