Higher Education Grading System Based on Markov Chains and A Possible Policy for Chineses Higher Education System

In the paper, a model capable of grading any country’s higher education system with high efficiency is built. Our research team then simplify the model and combine it with Markov Chains to make it able to predict the score of any country’s higher education system in the future. On this process Multiple Linear Regression is used and the value inside Markov Chains’s matrix is fixed. After parameterization, our research team test the model and get several interesting findings of its character and use it on China and make a possible policy for it.