Educational Management Data Based on Performance Appraisal Model

Abstract

The evaluation of higher education performance appraisal has been a difficult and hot issue in the field of management research. How to evaluate the level of higher education management, how to judge the effect of higher education reform, and how to make the evaluation results more convincing are all difficult problems on the road of university informatization evaluation. This paper focuses on big data and information education, using the principle of neural network, particle swarm optimization algorithm, through the trend of the performance index data value about big data, convergence and backtracking to obtain the optimal performance index data value so as to obtain the objective performance index value. Compared with other algorithms, the predicted output value of big data is closer to the actual value; the error accuracy is 5% higher than other methods. It also proves that this study is of far-reaching strategic significance to scientifically formulate the development plan of university informatization and improve the application and service of university informatization system.