University Teaching Reform Evaluation System Based on Big Data

Authors

  • Wei Chen, Ya Zeng

Abstract

The big data era of data analysis reform education has come. The analysis and calculation of data is helpful for education decision makers and teachers to get rid of ideological prejudice and make correct education and teaching decisions. At present, there are some problems in the current assessment and evaluation, such as the ineffective use of learning guidance, the administration of assessment methods, the lack of standardization and scientificity of the proposition, and the low degree of digitalization of the assessment and evaluation system. Through the perspective of big data to study the reform of distance education evaluation system, we should do a good job in top-level design, strengthen technical support, establish student database and realize the transformation of professional assessment and evaluation service. The experiment shows that the research results of this paper have a certain reference value for the research of university teaching reform evaluation system from the perspective of big data

Published

2020-11-01

Issue

Section

Articles