Design of Online Reading Education Simulation System Based on Intelligent Human-Computer Interaction Technology
Yawen Su, Moyan Li · International Journal of Human-Computer Interaction · 2022
As an important input for language learning, reading has always been highly valued by linguists. With the rapid development of human-computer interaction technology, its in-depth application in the field of education is also increasing. In this paper, the online reading education simulation system based on intelligent HCIT is discussed, and the simulation system is tested and analyzed by combining k-nearest neighbor algorithm, support vector machine algorithm and maximum entropy algorithm. Finally, the survey analysis shows that the online reading education simulation system based on intelligent HCIT improves the participation rate of reading education to a certain extent. Compared with the traditional reading education model, the efficiency is increased by 7%.