Computer Network-Assisted Technology-Based English Teaching Method with Artificial Intelligence

the increased need for well-rounded proficiency in oral, written, and read-aloud communication directly results from the recent educational revolution and its focus on education quality, particularly in English. The networked environment and the new reading model for English that it has spawned are products of the application of cutting-edge science and technology connected with teaching tools using artificial intelligence (AI). Hence, this paper proposes Computer Network-assisted English Teaching Framework (CNETF) based on artificial intelligence. Computer-assisted learning approaches can present the learning utilizing different media either video or picture that can support the effective learning progression and simplify the learners to handle the learning speed since it is joined with the multimedia. Compared to other popular methods, the results reveal that computer-assisted English teaching and test can better reflect the student's true level, performance, and outcome. The experimental result suggests that the proposed method CNETF achieves the highest performance rate of 98.78%, Level of discrepancy rate of 40.2%, regression analysis of 90.2%, path analysis of 97.7%, error rate of 5.1%, learning rate of 93.4%, correlation rate of 95.6% compared to other methods.