Research on the Application of College English Teaching System Using Random Forest

With the growth of language research and teaching, people realize that the grammatical competence is a significant thing of the communicative competence. Presently, there are various Artificial Intelligence (AI) assisted educational applications in schools as well as universities. This research utilizes an AI approach integrated with the knowledge recommendation to the system as well as develops an online English teaching system. The system of English teaching is helpful in determining the potential as well as internal connections among the estimation results as well as different factors. In this research, the Machine Learning (ML) approach of Random Forest (RF) is proposed for the College English Teaching System. The proposed approach initially performed the correlation analysis on the developed estimation data. After that, the integration principles were followed to estimate the coordination among indexes in the estimation of the teaching. The proposed RF approach attains the interaction analysis of 98.2 %, 96.3%, 95.2 %, 97.2 % and 96.2 % in the number of students of 20,40, 60, 80 and 1 00 respectively.