Research on Comprehensive Evaluation of Online-Offline Hybrid Teaching and Learning Effect of Experimental Course Based on AHP Method
- DOI
- 10.2991/978-94-6463-172-2_175How to use a DOI?
- Keywords
- online-offline hybrid teaching; Comprehensive Evaluation; AHP
- Abstract
The online and offline hybrid teaching mode has become a new direction of the experimental teaching, as the traditional evaluation method that evaluates the learning effect of students’ experimental process based on the results is no longer applicable. In this paper, aiming at the problem of comprehensive evaluation of students’ learning effect in online and offline mixed experimental teaching process, a comprehensive evaluation system based on AHP method is proposed, which includes eight evaluation index systems, determines index weights through expert opinions of network platform, standardizes the evaluation results, and obtains the final comprehensive evaluation results of students so as to provide theoretical and methodological basis for comprehensive evaluation of online and offline mixed experimental teaching.
- 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 - Xiaoyun Feng AU - Xuehan Zhou PY - 2023 DA - 2023/06/30 TI - Research on Comprehensive Evaluation of Online-Offline Hybrid Teaching and Learning Effect of Experimental Course Based on AHP Method BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 1586 EP - 1594 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_175 DO - 10.2991/978-94-6463-172-2_175 ID - Feng2023 ER -