Research on the Construction of the Evaluation Index System of College Teachers and the Optimization Measures of Education Management under the Background of Big Data

Abstract

Under the background of big data, the construction of the evaluation index system of college teachers is an important content of education management, a comprehensive, scientific, objective and fair evaluation of teachers' work, and a strong guarantee for improving the quality of education and promoting the development of education. The core problem of the development of higher education in the new era is the quality of personnel training. To achieve this goal, teacher development is the key. At present, the main problems in the evaluation system of teachers in colleges and universities are unscientific evaluation standards,unreasonable evaluation indicators, untimely evaluation results and inflexible evaluation methods. And these problems, in the final analysis, do not make full use of big data technology for teaching evaluation. In order to solve these problems, it is necessary to optimize the teaching evaluation index system, establish the "big data platform" of education management, improve the feedback mechanism of teacher development, and link the assessment results with performance pay. Based on the core content and basic principles of the construction of the evaluation index system of college teachers in the era of big data, this paper comprehensively expounds relevant theories, establishes the first-level index and second-level index of the evaluation index system of college teachers by Delphi method, constructs the evaluation system of college teachers by combining the analytic hierarchy process and fuzzy comprehensive evaluation method, and proposes to take the evaluation index as the basis. Measures to comprehensively optimize the educational management of college teachers.