Research on English Online Classroom Learning System Based on Computer Intelligent Assistive Technology

The English learning system structure designed in this article is mainly based on the
$B/S$
three-level architecture. A relational database uses SQLite as the data layer. The system uses the Bootstrap system to automatically recognize English words, and uses custom tags to enable teachers to quickly review test papers and provide feedback. An automatic image recognition technology that combines similarity comparison based on field context and CNN+BLSTM is proposed. This paper analyzes the user registration model and query process, uses multiple information technologies to ensure the stability of online teaching and further expand teaching methods. Experiments have proven that the proposed English intelligent dictionary recommendation system has the same characteristics as the age similarity weight, and both show an increasing trend as the parameters increase. The system can clearly display the records of words that the learning object has learned after logging into the system, including the number of times the word has been used, achieving intelligent effects.