Online English teaching app is a platform that can make students more flexible and effective in mastering English skills. At the same time, teachers can be more targeted and motivated in the classroom, making the guidance more targeted. This paper sorts out the basic theory of teaching quality evaluation and introduces the advantages and disadvantages of the more commonly used evaluation methods such as fuzzy comprehensive evaluation, AHP and BP neural network evaluation. In this paper, the relevant information of three random teachers in the English online teaching platform was obtained by means of a questionnaire survey, and then the teaching quality of the three teachers on the English Teaching Platform (EOTP) was simulated and analyzed in MATLAB, and the simulation results were compared with the teaching quality of the three teachers. The results of fuzzy comprehensive evaluation method and BP neural network evaluation method are compared and analyzed. The analysis results show that the teaching evaluation model based on grey relational analysis has certain rationality and feasibility.
The position of artificial intelligence in human society has gained widespread attention, and the impact it has brought cannot be underestimated. The so-called deep learning is through the existing knowledge, experience or information to organize, and will be used in real life, it is the use of computer and artificial intelligence principles to achieve interactive learning process between the human brain and the machine and a new system model, now the depth of knowledge mining and acquisition has become the current trend of development. This paper will put forward relevant suggestions and give specific path analysis for future research in the field of artificial intelligence in China at the present stage for the deep learning mode of English in the digital background.
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