An efficient statistical method for evaluating online teaching quality
Authors: 
Sumei Zhang, Qiujuan TongAuthors Info & Claims
Sumei Zhang, Qiujuan TongAuthors Info & ClaimsArticle No.: 29, Pages 1 - 6
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.
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Published In
December 2021
699 pages
ISBN:9781450385053
DOI:10.1145/3508546
Copyright © 2021 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 25 February 2022
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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
Conference
ACAI'21
ACAI'21: 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence
December 22 - 24, 2021
Sanya, China
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Overall Acceptance Rate 173 of 395 submissions, 44%
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