scholarly journals Research on English teaching system based on artificial intelligence and WBIETS wireless network system

Author(s):  
Minghua Tan
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Haibao Du

The traditional English teaching system has certain problems in the acquisition of teaching resources and the innovation of teaching models. In order to improve the effect of subsequent English online teaching, this paper improves the machine learning algorithm to make it a core algorithm that can be used by artificial intelligence systems. Moreover, this paper combines the WBIETS system to expand the system function, analyzes the needs of the English network teaching system, and constructs the system function modules and logical structure. The data layer, logic layer, and presentation layer in the system constructed in this paper are independent of each other and can be effectively expanded when subsequent requirements change. In addition, this paper solves the problem of acquiring English teaching resources through the WBIETS system. To evaluate the performance of the English network teaching system, this paper performs comprehensive mathematical and experimental analysis. The experimental results show that the system constructed in this paper basically meets the actual teaching requirements.


Author(s):  
Xing Zhao

To improve the students’ individualized and autonomous learning ability in English teaching, a mobile English learning system is designed on the basis of adaptive algorithm. The students’ need for the adaptive mobile English teaching system is analyzed through researches on students and questionnaires. According to the needs analysis, the main functional modules of the adaptive mobile English learning system are designed, including the creation module, personalized learning module, evaluation and feedback module, and management module. Then, the improved XAHM (XML adaptive hypermedia model) is applied to the mobile English learning system. The three-layer architecture of the English mobile learning system is revised into four layers of composition layer, data layer, business logic layer and presentation layer. At the same time, more attention is diverted to the terminal and the situation. Finally, the system is tested. The test results showed that the mobile English learning system realized the self-adaptive and intelligent navigation of learning space in the course of teaching. It is concluded that the new adaptive algorithm had a good performance for college English learning.


Author(s):  
Minsheng Lou

Based on the diversification theory, this paper designed a multimedia technology-based English teaching system framework which is used to assist English teaching in classroom. The whole system framework consists of two parts: the part of learning resource allocation and the part of English teaching activities. Learning resource allocation is mainly to expand English learning materials from the traditional printed resources to audios, videos, animations and other forms of resources; the use of multimedia resources for teaching activities is achieved mainly through the English speech teaching and lecturing device designed with the function of playing multimedia files. In order to test the application effect of multimedia technology in English teaching, this paper chose the public course of “Vocational English” as the experimental content, and compared the effect of respectively using multimedia technology to teach freshmen of Grade 2016 and adopting the traditional teaching method to teach students of Grade 2015. The outcome shows that the use of multimedia technology in English teaching can improve students’ interest in learning, reduce their pressure of learning English, and enhance their sense of accomplishment in learning, indicating that multimedia-assisted teaching can effectively improve English teaching results.


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