Author:
Xu Xiang,Liu Feng,Liang Haijing
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.
Subject
Computational Mathematics,Computer Science Applications,General Engineering
Reference13 articles.
1. Research on the innovation efficiency improvement path of high technology industry from the perspective of grouping – A qualitative comparative analysis based on fuzzy sets;Chen;J Hebei Univ Technol (Soc Sci Ed).,2022
2. Human-computer interactive teaching model based on fuzzy set and BP neural network;Kong;J Intell Fuzzy Syst.,2019
3. Distributivity of extended residual implication on the truth value of type II fuzzy sets;Ou;Fuzzy Syst Math.,2022
4. A university teachers’ teaching performance evaluation method based on type II fuzzy sets;Sun;Mathematics.,2021
5. A histological analysis of factors influencing the dissemination of online public opinion on unexpected events in colleges and universities – A qualitative comparative analysis of fuzzy sets based on 32 cases;Tan;Knowl Manage Forum.,2022