New Media College Students’ Education Evaluation System Based on Improved CW-CPCC Algorithm

The strengthening of comprehensive quality education of college students in colleges and universities has been more and more concerned and accepted by people. The educational evaluation of college students should not only conform to the objective reality but also ensure that it is effective. However, the evaluation indicators in the current education evaluation are grayscale, qualitative, and difficult to assess. Aiming at this problem, this study proposes an improved CW-PPCC-based evaluation algorithm for college students’ education, which quantifies the qualitative indicators that are difficult to measure in the form of data, using AHP and data envelopment. On the basis of big data, the correlation coefficient of product distance quantitatively evaluates the quality of undergraduate education and realizes an effective evaluation of the education quality of college students. The experimental results show that the algorithm can effectively realize the evaluation of education quality, and has high accuracy and high application value.