Intelligent video recommendation and interactive e-learning mode for English teaching courses based on machine learning

Abstract

With the continuous deepening of intelligent education in China, English education is receiving increasing attention, and educational reform is urgent. However, English education in China is still in the early stages of intelligence, and the current educational resources lack uniformity, teaching methods are single, and the standards for measuring educational quality also need to be improved. Therefore, this article studies the intelligent recommendation system for English teaching course videos based on machine learning. Firstly, the relevant theories of machine learning were analyzed, and the multiple linear regression, recurrent neural network algorithms, and logistic regression models in machine learning technology were analyzed. At the same time, Markov decision processes are also used to reinforce machine learning algorithms. Secondly, an English teaching video recommendation platform was established to analyze the regional preference and style preference in the field of video recommendation. Finally, an English course recommendation system was developed through the video recommendation technology of machine learning and the current situation of English teaching courses, which can promote the innovation and application of English teaching models.