Research on the Evaluation Model of Practical Education Effect in Colleges and Universities Based on Big Data Analysis

In higher education, traditional evaluation methods have problems such as strong subjectivity and fragmented data. This study constructed an evaluation model for the effectiveness of practical education in universities based on big data analysis. It comprehensively used literature analysis, the Delphi method, an analytic hierarchy process, and other methods to construct an indicator system. With the help of big data analysis technology, multiple sources of data were collected and integrated, and linear regression models were used for evaluation. Through empirical analysis, the effectiveness of the model was verified. Research found significant differences in the effectiveness of practical education in different disciplines. Big data evaluation models promote teaching reform, and different types of practice contribute differently to ability development. This study provided data support for optimizing the practical education system in universities, which is of great significance for improving the quality of practical education.