The Teaching Evaluation System of College Students under the Background of Big Data

Abstract

How to use massive data to analysis of the school's diversified real teaching achievements has become a fundamental problem in the teaching work of major colleges. The purpose of this paper is to study the teaching evaluation system of college students based on big data. It is proposed to use data mining in the current evaluation system. It briefly expounds the research status of data mining technology, introduces the construction method and construction principle of the entire teaching evaluation system, and proposes a data mining based on Apriori algorithm. This method is used to construct a teaching evaluation system for college students, which solves the problem of weight distribution rating index. Finally, the construction process is explained through the establishment and analysis of examples. This paper outlines how to use association rules to scientificity of the evaluation system, discusses the rules in the analysis of evaluation results, and deeply analyzes the meaning of the results.