Application of Online Business English Teaching System based on Artificial Intelligence

Artificial intelligence (AI) is a great value add in many use cases including education, healthcare, business and more. The pandemic times have unlocked the tremendous capabilities of AI to be leveraged in education system by way of online mode. AI is currently among the many fields of research where innovative educational and cognitive approaches has been developed. However, during online mode Business English proficiency study, it needs a comprehensive analysis in order to understand Business English in an attractive style. The Light Gradient Boosting and Decision Tree (XGBDT) is proposed for Online Business English Teaching System. The given neural network is used for elaborating the implementation strategy of the Business English assessment. It may be elaborated as a tool that connects students and teachers with benefits of easy access to vast information, keeping summary notes, and teachers to improve their abilities. The achieved result demonstrates that the newly proposed LGBDT-NN method is optimally designed that obtains performance accuracies of 71% for 20 students, 76% for 40 students, 81% for 60 students, 83% for 80 students, 87% for 100 students, 91% for 120 students.