Abstract
The current college English online teaching mode is mainly based on the traditional online MOOC teaching, which has some problems such as poor interaction. Under the mixed background, this paper studies the online college English teaching model based on the Gaussian mutation genetic algorithm and neural network algorithm. Firstly, it briefly introduces the general situation of network English teaching and the hybrid application of the Gaussian mutation genetic algorithm. Through the investigation and test analysis of students before and after class, the experiment evaluates students' network teaching quality in many aspects. On this basis, a better teaching quality evaluation model is proposed. Finally, the practical application shows that the model in this paper is very feasible. In the end, students have higher enthusiasm and seriousness in the hybrid context of college English online teaching based on the dual algorithm. English teaching quality can make use of each student's test scores in English classroom. This paper realizes the overall teaching through real-time dynamic tracking. Quantitative indicators are used to sort the influence degree of English classroom teaching indicators, which can effectively evaluate the quality of English classroom teaching.
Highlights
With the rapid development of science and technology in the 21st century, we have entered the global information age and entered the education information age. e reform of education is closely connected with modern information technology
Network teaching can popularize and share some advantageous education and teaching resources, and learners can obtain high-quality and massive teaching resources, which is conducive to the realization of national education and lifelong education
This paper studies the college English online teaching model in the mixed context based on the Gaussian mutation genetic algorithm and neural network optimization
Summary
With the rapid development of science and technology in the 21st century, we have entered the global information age and entered the education information age. e reform of education is closely connected with modern information technology. This paper studies the college English online teaching model in the mixed context based on the Gaussian mutation genetic algorithm and neural network optimization. The online teaching quality evaluation based on the Gauss mutation genetic algorithm and neural network algorithm is constructed.
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