Abstract
In today’s era, online teaching plays an important part in the college English teaching. Deep learning, famous for its ability of imitating the learning process of human brains and obtaining the internal essential features or rules of voice, videos, images, and other data, can be applied to assist and improve the college English online teaching which involves a wide use of those data. Based on the combination of the multilayer neural network model and the k-means clustering algorithm, this paper designs a kind of deep learning method that can be used to assist and improve the college English online teaching. Experiments were designed to test the reliability of this deep learning method. The results show that the optimization algorithm designed in this paper, which can adjust the learning rate, will improve the common probability gradient descent algorithm. Besides, it is proved that the deep learning’s efficiency of the CNN model is significantly higher than that of the MLP model. With the help of this deep learning method, it becomes feasible to apply the technologies related to the artificial intelligence to help teachers deeply analyze and diagnose students’ English learning behavior, replace the teachers in part to answer students’ questions in time, and automatically grade assignments in the process of the college English online teaching. Surveys and exams were then conducted to evaluate the effect of the application of the college English online teaching model based on deep learning on the students’ learning cognition and their academic performance. The results show that the college English online teaching model based on deep learning can stimulate students’ learning motivation and improve their academic performance.
Highlights
Today, the development of the information technology has greatly shaped the ways of teaching in colleges and online teaching has become an indispensable part of the teaching of most courses
Students who got the highest score in the exams of listening, reading, translation, and writing were all from the test class. is shows that the college English online teaching model based on deep learning can effectively improve students’ academic performance
In order to improve the college English online teaching, this paper designed a kind of online deep learning method based on the combination of the multilayer neural network model and the k-means clustering algorithm, which can be used to help constantly improve the artificial intelligence technologies necessary for the college English online teaching
Summary
Received 25 October 2021; Revised 24 November 2021; Accepted 29 November 2021; Published 21 December 2021. Based on the combination of the multilayer neural network model and the k-means clustering algorithm, this paper designs a kind of deep learning method that can be used to assist and improve the college English online teaching. With the help of this deep learning method, it becomes feasible to apply the technologies related to the artificial intelligence to help teachers deeply analyze and diagnose students’ English learning behavior, replace the teachers in part to answer students’ questions in time, and automatically grade assignments in the process of the college English online teaching. Surveys and exams were conducted to evaluate the effect of the application of the college English online teaching model based on deep learning on the students’ learning cognition and their academic performance. E results show that the college English online teaching model based on deep learning can stimulate students’ learning motivation and improve their academic performance Surveys and exams were conducted to evaluate the effect of the application of the college English online teaching model based on deep learning on the students’ learning cognition and their academic performance. e results show that the college English online teaching model based on deep learning can stimulate students’ learning motivation and improve their academic performance
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