Construction of evaluation standard system of university practice teaching under the background of big data

Abstract

The purpose of this study is to explore the method and application of constructing the evaluation standard system of university practice teaching under the background of big data. Based on teaching evaluation theory, combined with big data technology, the paper constructs a practical teaching evaluation model through questionnaire survey and data collection. In the data analysis, the multiple linear regression model is used to predict the practical teaching effect, and the detailed empirical analysis is carried out. It is found that the model can predict the practical teaching effect and explain the variability of the actual data well. However, the study also revealed the existence of problems such as data quality, sample bias, and model limitations, which need further research and verification. In general, this study provides a preliminary framework for the evaluation of practical teaching in colleges and universities, and is expected to help colleges and universities improve the quality and effect of practical teaching.