Analysis of Quality-Oriented Education Credits Based on the Decision Tree Algorithm

The credit analysis of the quality-oriented education is being gradually improved along with the development of the digital information. However, there still exist some issues that need to be solved. To explore the management of the quality-oriented education and the application in the education work in colleges and universities, this paper introduces the data mining technique to embody the quality-oriented education with credits and data, facilitating the analysis and review of the quality-oriented education credits. The purpose of this study Is to offer wider development space and an institutional guarantee for the quality-oriented education, embed the quality-oriented education into the education and teaching work in the colleges and universities as an important part, and remain as a value reference for the development of the educational science in the future.