Interactive Reading System Based on AI
Jie Liang, Xu Xiaobo, Qian Lin, Yakun He, Jing Sun, Heng Chen · 2020 IEEE 3rd International Conference of Safe Production and Informatization (IICSPI) · 2020
In the existing enrollment teaching training, the low ratio of teachers / students causes small training scale and low training efficiency. In order to solve this problem, an interactive enrollment system based on AI is designed. The system mainly includes four modules: speech recognition module, evaluation and analysis module, comprehensive data module and scenario interface module. It realizes the functions of human-computer interaction, scenario design/import, realtime automatic scoring, teaching data analysis and so on. The introduction of enrollment system will effectively improve the training efficiency and expand the training scale.