Research on the Model of Balanced Development of Compulsory Education and Difficult Problems of Rural Education Based on a Deep Learning Algorithm

Abstract

The equity of CE is an important issue in the whole educational cause. Its level has a significant impact on China’s overall quality and economic and social progress. The BDCE is the basic realization of educational equity in China. It also promotes the sustained and healthy growth of economy and society and provides a strong guarantee for building a well-off society in an all-round way. In this paper, the PageRank algorithm of deep learning is used to collect data related to rural education and deeply analyze the problems existing in rural education, providing data support for the development of rural education. Firstly, this paper introduces the BDCE, expounds the problems and reasons in the progress of rural education, and studies the application of data analysis. Then, this paper uses the method of questionnaire to investigate and analyze the difficult problems and current situation of rural education. Finally, the result is that the quality balance of students needs to be further improved. Although the resources of rural education are unbalanced, more than 70% of teachers have bachelor’s degree or above, and there is no significant difference among schools. It can be seen that highly educated teachers have become the norm in the stage of CE. Teachers are generally satisfied and recognized with the teaching process. In rural school education, the degree of dissatisfaction with the school curriculum and course selection system is greater than the degree of satisfaction. This shows that there is a lack of diverse and rich teaching courses in rural CE.