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Research on Online and Offline Mixed Teaching Quality Evaluation of Higher Mathematics Based on Hierarchical Analysis Method

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e-Learning, e-Education, and Online Training (eLEOT 2022)

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.

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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).

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Correspondence to Junyan Wang .

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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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

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  • DOI: https://doi.org/10.1007/978-3-031-21164-5_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21163-8

  • Online ISBN: 978-3-031-21164-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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