Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)

<Previous Article In Volume
Next Article In Volume>

Analysis of the Influence Factors of the Teaching Material Compilation Input of University Teachers Based on SPSS

Authors
Wenqing Li1, Xixi Hu2, *
1Academic Affair Office, Jinan University, Guangzhou, China
2The Center for Teacher Development, Jinan University, Guangzhou, China
*Corresponding author. Email: huxixi@jnu.edu.cn
Corresponding Author
Xixi Hu
Available Online 26 September 2023.
DOI
10.2991/978-94-6463-238-5_6How to use a DOI?
Keywords
SPPS; multivariate regression analysis; teaching material construction; compilation input; influence factors
Abstract

Given teaching material construction as one of the national missions and responsibilities at the institutional level and the compilation input of teaching materials by teachers is considered critical in guaranteeing high-quality teaching material construction, this paper creatively discusses the influence factors of the teaching material compilation input from the perspective of university teachers. The research is unfolded in form of a questionnaire survey involving more than 700 university teachers and applies SPSS to process the data collected. Correlation analysis, factor analysis and multiple regression analysis were used in data processing to explore the key factors that influence their compilation input. Comprehensively, it shows that multiple factors are relevant; and the weight of teaching materials in professional title appraisal, support strength of teaching material programs, performance & salary appraisal, and honor awards are of high correlation to compilation input (i.e., the common factor) and significance.

Copyright
© 2024 The Author(s)
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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
Series
Advances in Intelligent Systems Research
Publication Date
26 September 2023
ISBN
978-94-6463-238-5
ISSN
1951-6851
DOI
10.2991/978-94-6463-238-5_6How to use a DOI?
Copyright
© 2024 The Author(s)
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.

Cite this article

risenwbib
TY  - CONF
AU  - Wenqing Li
AU  - Xixi Hu
PY  - 2023
DA  - 2023/09/26
TI  - Analysis of the Influence Factors of the Teaching Material Compilation Input of University Teachers Based on SPSS
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 37
EP  - 46
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_6
DO  - 10.2991/978-94-6463-238-5_6
ID  - Li2023
ER  -