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A Method for Evaluating the Quality of Distance Education in Universities Based on Fuzzy AHP

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e-Learning, e-Education, and Online Training (eLEOT 2023)

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Abstract

With the rapid development of information technology and the popularization of the Internet, distance education has been widely promoted and applied globally. Remote education in universities, as an important component of distance education, is receiving increasing attention. In order to improve the evaluation effect of remote teaching quality in universities, this study conducted a fuzzy AHP based evaluation method for remote teaching quality in universities. Firstly, the theory of fuzzy AHP and teaching quality evaluation is studied, and then the process of remote education is analyzed. Through the quality control model of remote education, a quality evaluation system for remote education in universities is established. Finally, complete the calculation of evaluation index weights and the construction of a comprehensive evaluation model. The experimental results show that the proposed method can comprehensively evaluate the quality of remote education in universities, with an accuracy rate of over 95% and a low evaluation time cost of only 16.7 ms, which is superior to the comparative method and has greater application value.

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Author information

Authors and Affiliations

  1. Academic Affairs Office of Sanda University, Shanghai, 201209, China

    Ying Gao

  2. Office of Foreign Language, Basic Teaching Department, Changchun University of Architecture and Civil Engineering, Changchun, 130607, China

    Yanli Ge

Authors
  1. Ying Gao
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  2. Yanli Ge
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Correspondence to Yanli Ge .

Editor information

Editors and Affiliations

  1. Nanjing University of Posts and Telecommunications, Nanjing, China

    Guan Gui

  2. Yantai University, Yantai, China

    Ying Li

  3. Institute of High Performance Computing, Fusionopolis, Singapore

    Yun Lin

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Gao, Y., Ge, Y. (2024). A Method for Evaluating the Quality of Distance Education in Universities Based on Fuzzy AHP. In: Gui, G., Li, Y., Lin, Y. (eds) e-Learning, e-Education, and Online Training. eLEOT 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 546. Springer, Cham. https://doi.org/10.1007/978-3-031-51503-3_11

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  • DOI: https://doi.org/10.1007/978-3-031-51503-3_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51502-6

  • Online ISBN: 978-3-031-51503-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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