An English Online Learning System Based on Artificial Intelligence

In order to understand the functions of English online learning systems, the author proposes research on an artificial intelligence based English online learning system. The system is built using the CIS architecture, with software design as the main focus, and is compatible with most models of PC hosts. Design the audio encoding method for English speech testing. Design a question bank based on the difficulty coefficient and use JDBC database connection technology to construct a database access connection method. Secondly, using particle swarm optimization algorithm, an automatic generation algorithm for test papers is established in the system, and an online learning interaction module is added to complete the system design. Finally, the functionality and performance of the system were tested using the English test question bank of a certain university as the database. The experimental results show that when the concurrent users are between 150 and 460, the system’s operation response time remains between 30 and 55 ms, and the application CPU utilization rate remains between 3.2% and 5.9%, with relatively slow growth; When the number of users exceeds 560, the system response time increases to 70-100 ms, and the application CPU usage rate increases to 7.4%-10%, which is relatively significant but still within the normal range.