English Online Teaching Assistant System Based on Genetic Algorithms

Online English teaching can significantly increase the relevance of English instruction, the sharing of English teaching materials, and the quality of English instruction. As a result, this research proposes and investigates an online English teaching assistance system based on a genetic algorithm. First, the English online teaching assistant system's general structure is built, including modules such as network connection, data gathering, bus transfer, and application loading. Second, it creates the system hierarchy, implements the control and structural architecture of the English online teaching system terminal in the user UI interface, and adds different data tables to the system database. The English online teaching assistant system is then optimized using the genetic algorithm. To complete the research of the English online teaching assistant system based on genetic algorithm, chromosome coding and decoding, generation of the initial population, fitness function and genetic operation, and data fairness and genetic material selection are combined. According to experimental verification, the English online teaching assistant system created in this study has strong stability, good data transmission performance, and effectively enhances English teaching efficiency and teaching quality.