A Markov Chain Based Study of Teachers' Approaches to Improving Education Equality

The Excellent education is an important foundation for national development. The effective delivery of high-quality instruction is a critical consideration that requires ongoing reflection and refinement by educators. Because of the good properties of Markov chains, many papers have used it as a tool to carry out research. This paper focuses on how teachers can use Markov chains as a tool to continuously improve the quality of education. To this end, the paper is carried out by summarizing the essential methods and applications of Markov chains in education. The application of Markov chains in teaching and learning has been found to focus on assessing the quality and methods of teaching and the research tools used in this area are usually quite homogeneous and dominated by Markov models. In addition, a small number of studies have investigated the issues of student attention allocation and student data privacy risk in combination with other research tools. This paper demonstrates to teachers the value and use of Markov models for improving the quality of education. Furthermore, it also encourages teachers to utilize practicable research methods to analyse and evaluate the teaching process scientifically and rationally, and to improve teaching methods and strategies accordingly.