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Article type: Research Article
Authors: Xu, Xiang1; * | Liu, Feng1 | Liang, Haijing
Affiliations: College of Foreign Language, Qingdao University of Science & Technology, Qingdao, China
Correspondence: [*] Corresponding author: Xiang Xu, College of Foreign Language, Qingdao University of Science & Technology, Qingdao, Shandong 266061, China. E-mail: xuxiang_vip@outlook.com.
Note: [1] Xiang Xu and Feng Liu are co-first authors of the article, they contribute equally to the article.
Abstract: This paper improves the current situation of English language teaching from a technological perspective. Fuzzy that is a method of having local information to project the whole. Soft computing is a kind of optimization relative to traditional should computing, emphasizing the uncertainty and imprecision of things, and with the development of modern society, soft computing can solve many problems in production practice. Scenario teaching method is an important asset to enrich classroom content and mobilize students’ learning enthusiasm. Situational teaching is the sum use of preparation before class to improvisation in the classroom. It has been proved that using scenario teaching in the process of English teaching can improve students’ English ability. However, this traditional situational teaching method has problems such as incomplete evaluation index and poor teaching effect. To solve this problem, we constructed a new situational teaching method and a fuzzy evaluation system based on fuzzy sets and soft computing technology, and verified through experiments that both the new situational teaching method and the fuzzy evaluation system have good effects. At present, the popularity of situational English teaching is low, the overall level of English teaching is not high, fill-in-the-blank teaching is predominant, spoken English is weak, the cost of situational teaching is high, and teachers’ willingness to implement it is low. To improve these problems, based on the research results above we propose the following four recommendations to improve the quality of contextualized teaching, solve the problems of contextualized teaching, and reduce teachers’ pressure to prepare lessons. Finally, we make recommendations based on the current situation of the development of scenario-based teaching. (1) Build situational teaching in many ways. (2) Improve the quality of teachers’ English. (3) Develop individualized improvement programs for students. (4) Promote the reform of teaching tools.
Keywords: Soft computing, fuzzy sets, contextual teaching, english language teaching
DOI: 10.3233/JCM-226818
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 5, pp. 2389-2399, 2023
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