Evolution of English Educational Policies for Non-English Majors in Chinese Universities——A Study Based on Decision Tree

As more and more people around the world are using computers and the internet, China has made big changes to the way it teaches English to students who don't speak English as their first language. This study uses a variety of methods to understand how well these policies worked. It combines a review of what other studies have done with a statistical look at information from questionnaires. To do this, they used something called a "decision tree algorithm". This is a computer program that looks at the important things that affect the results of new policies. These things include things like the social, economic, technological and cultural situations of the people involved. Using a special computer program called a decision tree algorithm, we can see how important each factor is and identify the most important factors at each stage. The results show that policy transformation and China's wider social and economic development are closely linked, and that the country is focusing on developing talent that can compete around the world. Using the decision tree algorithm makes the analysis better and gives us useful information to help improve English education policy in the future.