Design of English Assisted Learning System Based on Deep Learning and Data Analysis Techniques

Traditional English learning methods are too cumbersome and monotonous, making it difficult to achieve significant improvement. Developing an effective English assisted learning system has become an urgent issue in the field of educational technology. This paper presents an analysis of the design of an English-assisted study program based on deep learning and data parsing skills. The system uses deep learning algorithms to evaluate and analyze students' language skills in vocabulary, pronunciation, grammar, and other aspects, and provides personalized teaching content and suggestions based on their learning situation. At the same time, the system also utilizes data analysis technology to monitor and record students' learning data for subsequent learning evaluation and analysis, thereby further optimizing teaching methods and content. This article asks students to use an English assisted learning system based on deep learning and data analysis technology to learn English. English learning time tests were conducted on different learning students, and it was found that the English assisted learning system based on deep learning and data analysis technology can improve students' learning polarity, increasing their daily learning time by 0.9 hours. This system meets students' English learning needs and provides personalized learning suggestions and resources.