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An efficient statistical method for evaluating online teaching quality

Published: 25 February 2022 Publication History

Abstract

The purpose of this study is to provide an efficient statistical analysis method to evaluate online teaching quality. A comprehensive evaluation model is established based on factor analysis theory. Fewer key indexes to summarize information in various aspects are extracted, through which comprehensive scores of every teacher evaluated are obtained. As an illustration, evaluated data from twenty teachers of Xi'an university of Post and Telecommunications is analyzed and modelled by the presented method and SPSS software. The results from the example show that the proposed method is efficient.

References

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Zhou F, Zhang N, Shu C, 2021. Research on fuzzy comprehensive evaluation of mathematics teaching quality in Colleges and Universities [J]. Advanced Mathematics Research, 24(01): 24-27+30.
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Chen Z, Wang X. 2019. Research on classroom teaching quality evaluation based on the integration of granular matrix and fuzzy comprehensive evaluation [J]. Journal of Ningxia Normal University, 40(07): 22-28.
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ACAI '21: Proceedings of the 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence
December 2021
699 pages
ISBN:9781450385053
DOI:10.1145/3508546
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 February 2022

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Author Tags

  1. Evaluation
  2. Factor analysis
  3. Online teaching
  4. SPSS
  5. Teaching quality

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  • Research-article
  • Research
  • Refereed limited

Funding Sources

  • the Teaching Reform Project of Xi?an University of Post and Telecommunications
  • the Key Teaching Reform Project of Undergraduate and Higher Continuing Education in Shaanxi Province
  • the Natural Science Foundation of Shaanxi Province

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ACAI'21

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Overall Acceptance Rate 173 of 395 submissions, 44%

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