Construction of “Four in One” Online Course Teaching Quality Assurance Model Based on Analytic Hierarchy Process
Authors
Aiqin Wang1, Qingyuan Yuan2, *
1School of Economics and Management, Taishan University, Taian, Shandong, China
2Shandong University of Science and Technology, Taian, Shandong, China
*Corresponding author.
Email: 58316772@qq.com
Corresponding Author
Qingyuan Yuan
Available Online 30 June 2023.
- DOI
- 10.2991/978-94-6463-172-2_3How to use a DOI?
- Keywords
- Online Course; Analytic Hierarchy Process; “Four in One” Model
- Abstract
This paper first analyzes the current situation of online courses by using descriptive statistical analysis method of SPSS statistical software, and points out the main problems existing in the guarantee of the teaching quality of online courses. Finally, using the analytic hierarchy process, this paper constructs a “four in one” online course teaching quality guarantee mode from four aspects: curriculum background guarantee, curriculum investment guarantee, curriculum implementation guarantee and curriculum evaluation guarantee.
- Copyright
- © 2023 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
TY - CONF AU - Aiqin Wang AU - Qingyuan Yuan PY - 2023 DA - 2023/06/30 TI - Construction of “Four in One” Online Course Teaching Quality Assurance Model Based on Analytic Hierarchy Process BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 12 EP - 18 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_3 DO - 10.2991/978-94-6463-172-2_3 ID - Wang2023 ER -