Statistical Analysis Based on Students’ Evaluation of Teaching Data in an Application-Oriented University

Jing Zuo; Xing Wu; Geng-e Zhang; Tongyao Huang

doi:10.2991/978-94-6463-012-1_55

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Statistical Analysis Based on Students’ Evaluation of Teaching Data in an Application-Oriented University

Authors

Jing Zuo¹, Xing Wu², Geng-e Zhang³, Tongyao Huang⁴^{, *}

¹Quality Assessment Office, Nanning University, Nanning, Guangxi, China

²College of Artificial Intelligence and Information Engineering, Guangxi Electrical Polytechnic Institute, Nanning, Guangxi, China

³College of Transportation, Nanning University, Nanning, Guangxi, China

⁴College of General Education, Nanning University, Nanning, Guangxi, China

^*Corresponding author. Email: tongyaohuanghty@163.com

Corresponding Author

Tongyao Huang

Available Online 9 December 2022.

DOI: 10.2991/978-94-6463-012-1_55 How to use a DOI?
Keywords: Students’ Evaluation of Teaching; Influence Factors; Consistency
Abstract: This paper analyzed 184378 records of data of 2021–2022 fall students’ evaluation of teaching (SET) in an application-oriented university. The research results demonstrate that the SET results have high reliability; SET is influenced by many different factors, but it is necessary to conduct further research to find out the variable with the greatest impact; SET results differ from supervisors’ evaluation of teaching, and it is more importantly to design a SET scale with reasonability and high discrimination.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022)
Series: Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date: 9 December 2022
ISBN: 10.2991/978-94-6463-012-1_55
ISSN: 2667-128X
DOI: 10.2991/978-94-6463-012-1_55 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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ris enw bib

TY  - CONF
AU  - Jing Zuo
AU  - Xing Wu
AU  - Geng-e Zhang
AU  - Tongyao Huang
PY  - 2022
DA  - 2022/12/09
TI  - Statistical Analysis Based on Students’ Evaluation of Teaching Data in an Application-Oriented University
BT  - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022)
PB  - Atlantis Press
SP  - 490
EP  - 498
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-012-1_55
DO  - 10.2991/978-94-6463-012-1_55
ID  - Zuo2022
ER  -

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