Abstract
With the extensive development of network teaching, it has become one of the most important teaching methods at present. It is necessary to evaluate its teaching quality and give better play to its effect. This paper introduces analytic hierarchy process into this field and designs a new online and offline mixed teaching quality evaluation method of higher mathematics. First, the evaluation index is selected. Based on the judgment matrix constructed by AHP, the corresponding hierarchical weights are obtained by maximizing the eigenvalues of different matrices. The evaluation model is established. When the number of iterations reaches the maximum, the evaluation results of teaching quality are obtained. The experiment shows that the average evaluation accuracy of this method is 97.26%, and the effect is good.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Yue, Q., Wen, X.: Application of improved GA-BP neural network in teaching quality evaluation. J. Nat. Sci. Heilongjiang Univ. 36(3), 353–358 (2019)
Zhang, Y.: Assisted teaching quality evaluation model based on active learning support vector machine. Mod. Electron. Tech. 42(7), 112–114 (2019)
Xushiqiang Research on online teaching quality evaluation of colleges and Universities Based on deep learning network. Inf. Technol. 45(7), 9–14 (2021)
Wang, J.: Discussion on teaching reform plan of mathematics course in independent college. J. Educ. Inst. Jilin Province 29(5), 46–47 (2013)
Du, W.: Exploration of hybrid teaching mode of “Higher Mathematics” based on network teaching platform. Wuxian Hulian Keji 18(13), 144–145 (2021)
Lü, R., Sun, W., Ma, J.: Exploration of online and classroom mixed teaching mode in advanced mathematics. J. Jilin Inst. Chem. Technol. 38(8), 50–53 (2021)
Zhang, J., Wang, H.,Ban, J.: Optimization design of vocal music teaching platform based on virtual reality system. Comput. Simul. 38(06), 160–164 (2021)
Funding
2021 Jilin Province Higher Education Teaching Reform Research Project Support Project: Research and Practice on the Construction of First-Class Higher Mathematics Courses in Applied Colleges and Universities (JLJY202128513006).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Wang, J., Yu, C. (2022). Research on Online and Offline Mixed Teaching Quality Evaluation of Higher Mathematics Based on Hierarchical Analysis Method. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-031-21164-5_52
Download citation
DOI: https://doi.org/10.1007/978-3-031-21164-5_52
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-21163-8
Online ISBN: 978-3-031-21164-5
eBook Packages: Computer ScienceComputer Science (R0)