A Novel Foreign Language Teaching Quality Evaluation Approach Utilizing Fuzzy Neural Network

2013 ◽  
Vol 8 (1) ◽  
pp. 598-605
Author(s):  
Zheng Xiaomei
Keyword(s):  
Neural Network ◽  
Foreign Language ◽  
Fuzzy Neural Network ◽  
Quality Evaluation ◽  
Language Teaching ◽  
Teaching Quality ◽  
Foreign Language Teaching ◽  
Evaluation Approach ◽  
Fuzzy Neural

scholarly journals Implementation Strategies for Improving the Teaching Quality of Foreign Language Courses

2020 ◽  
Vol 15 (24) ◽  
pp. 128
Author(s):  
Zhijiao Li
Keyword(s):  
Foreign Language ◽  
Language Teaching ◽  
Implementation Strategies ◽  
Teaching Quality ◽  
Indicator System ◽  
Foreign Language Teaching ◽  
Fuzzy Evaluation ◽  
Language Courses ◽  
Foreign Language Courses

The teaching quality of foreign language courses is constrained by various factors. It is no easy task to improve the teaching quality or evaluate it in a reliable manner. To solve the problem, this paper attempts to design feasible strategies for improving the teaching quality of foreign language courses. Firstly, theoretical analysis was carried out on the development of foreign language teaching and the factors affecting the teaching quality, revealing the key obstacles to improving the teaching quality. On this basis, several strategies and paths were put forward to improve the quality of foreign language teaching. In addition, a novel evaluation indicator system and a multi-attribute fuzzy evaluation model were established for the teaching quality of foreign language courses. The research results provide strong supports to the teaching optimization of foreign language courses.

scholarly journals A Blended Collaborative Teaching Mode in Language Learning Based on Recommendation Algorithm

2021 ◽  
Vol 16 (23) ◽  
pp. 111-126
Author(s):  
Ting Wang
Keyword(s):  
Foreign Language ◽  
Language Learning ◽  
Language Teaching ◽  
Foreign Language Learning ◽  
Collaborative Teaching ◽  
Teaching Quality ◽  
Foreign Language Teaching ◽  
Recommendation Algorithm ◽  
Teaching Process ◽  
Teaching Mode

With the continuous expansion of economic globalization, English, as the official language in the world, has a high popularity. It can be related to a better development in the future. Meanwhile, with the continuous progress of technology in modern society, multimedia online teaching has become the main means in colleges and universities, which especially brings great changes to foreign language teaching. However, foreign language teaching is facing many difficulties such as large number of contents, less lessons and low participation of students in class. Therefore, the reform of college foreign language teaching is imperative. Based on blended collaborative teaching mode, the paper has designed a “Three Classes” composed of “Communication Class”, “Famous Teacher Class” and “Elite Online Class”. Teaching process has been designed according to the cognitive process of “Previewing before class, consolidating in class and expanding after class”. In addition, recommendation algorithm has been used to collect data on four dimensions, namely, involvement in foreign language learning, content completion of foreign language learning, interaction in foreign language learning and effectiveness of foreign language learning. A performance evaluation system for foreign language learning supported by big data has been established. The results of teaching practice have proved that the blended collaborative teaching mode implemented in the study can be integrated into the whole teaching process through intelligent data analysis, information sharing and technology application, improving teaching quality, enhancing the interaction between teachers and students, which is worthy of promotion and application.

Early Warning Radar intelligence quality evaluation with Fuzzy neural network

2021 ◽  
Author(s):  
Renzheng Liu ◽  
Wei Yue ◽  
Zhijun Wang ◽  
Jiuping Cao ◽  
Yating Tang
Keyword(s):  
Neural Network ◽  
Early Warning ◽  
Fuzzy Neural Network ◽  
Quality Evaluation ◽  
Fuzzy Neural
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