Research on the Effectiveness Evaluation of College English Competition and Teaching Integrated Teaching System Based on Group Sample Testing
- DOI
- 10.2991/978-94-6463-574-4_54How to use a DOI?
- Keywords
- Integration of teaching; college English; big data; group sample testing
- Abstract
In the context of the integration of competition and teaching, in order to improve the level of English teaching in colleges and universities, in view of the lack of practical and application of current English teaching, combining micro-class and flipped classroom mode, and introduce oral English, composition and debate. Statistical analysis and the equilibrium game control method are used to evaluate the effectiveness of the integrated teaching system. Information analysis and adaptive evaluation are conducted by mining the association rules in the statistical big data. At the same time, grouped samples are used to test and verify the effectiveness of the teaching system. The empirical research shows that the evaluation method has significant effectiveness for the integrated teaching system of English competition in universities.
- 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
TY - CONF AU - Zhumin Huang PY - 2024 DA - 2024/11/21 TI - Research on the Effectiveness Evaluation of College English Competition and Teaching Integrated Teaching System Based on Group Sample Testing BT - Proceedings of the 4th International Conference on Internet, Education and Information Technology (IEIT 2024) PB - Atlantis Press SP - 473 EP - 480 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-574-4_54 DO - 10.2991/978-94-6463-574-4_54 ID - Huang2024 ER -