Innovation of Student Quality Evaluation Model in Vocational Education under Cloud Computing Environment

Abstract

This paper takes cloud computing technology as the core, constructs a student quality evaluation model, collects and analyzes students’ learning data through cloud computing technology, proposes the direction of optimization and reform of the educational quality evaluation system, and establishes a comprehensive quality evaluation management system for students. Combining AHP and entropy weight methods, the subjective and objective weights of each index are calculated, and the comprehensive weights are determined through game theory. Based on the evaluation method of students’ comprehensive quality, the cloud model is established, the normal cloud digital features are calculated, and the mapping of qualitative concepts to quantitative representations is realized through the forward cloud generator, which completes the construction of the evaluation index system of students’ comprehensive quality. The evaluation cloud model is obtained by using the digital features calculation, and the cloud is located between levels 8 and 9 because Ex = 8.5265, which has a closer fit with level 8, indicating that the comprehensive quality of the student belongs to the good upper level. In the comparison of the innovation of the student quality evaluation model, the comprehensive theoretical quality of the students in the experimental group is 8.215 points, and the P value is 0, significantly higher than that of the control group students, and the model innovation effect is remarkable.

Keywords

• entropy weight method
• game theory
• normal cloud numerical features
• cloud model
• student quality assessment
• 00a35