Construction and Implementation of College Students' Non Academic Factors Evaluation System Based on Key Analysis of Big Data

Abstract

Non academic evaluation factor is an important part of student evaluation, and its data accuracy is closely related to the development of students. The traditional non academic evaluation method has a large amount of data and a lot of data accumulation, which leads to the data hierarchy is too complex and the data accuracy is not high. This paper reconstructs the evaluation data of College Students' non academic factors based on big data association algorithm, so as to meet the requirements of the construction and implementation of the system. In order to improve the accuracy of data, data mining and data fusion are used to verify the data. The optimized non academic evaluation factor system can change from diagnostic function to incentive function, from single to multiple, from other evaluation to self-evaluation, from quantitative to documentary standard. The experimental results show that the evaluation system of College Students' non academic factors under this method has effectively promoted the reform of College Students' non academic evaluation factors and achieved good results.