Application of Hierarchical Analysis Method in the Evaluation of Online and Offline Teaching Effect Method
- DOI
- 10.2991/978-94-6463-172-2_202How to use a DOI?
- Keywords
- Analytic hierarchy process; Teaching effect evaluation; Evaluation index system; Evaluation matrix
- Abstract
In order to explore the influence of various elements of online and offline teaching on the teaching effect, this paper established a three-level evaluation system of online and offline courses by issuing questionnaires and using the analytic hierarchy process, and evaluated the weight of indicators at all levels in the course evaluation system. Based on the analysis of the relationship between the weight results of each indicator and the teaching practice, it is concluded that the value of teaching content, classroom teaching, teachers’ teaching ability, students’ learning efficiency and result monitoring and other factors have a greater impact on the teaching effect. We should pay attention to the selection and determination of education content, carefully design classroom teaching, improve teachers’ ability, guide and develop students’ learning interest, and establish a comprehensive Scientific and reasonable assessment and evaluation system.
- 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 - Lanying Lian AU - Yang Yang AU - Ya Wen PY - 2023 DA - 2023/06/30 TI - Application of Hierarchical Analysis Method in the Evaluation of Online and Offline Teaching Effect Method BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 1821 EP - 1829 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_202 DO - 10.2991/978-94-6463-172-2_202 ID - Lian2023 ER -