Optimization Strategy for Teacher Performance Management in Higher Vocational Colleges Based on Deep Learning

Authors

  • Shengpeng Zang Wuxi Institute of Technology Wuxi 214121, Jiangsu, China

Abstract


Economic and educational factors have become increasingly important for the development of modern society. Also, the economy provides strong material support for the development of education and affects educational reform and the speed of education development. When higher education is optimized during the transformation of modern society, a series of problems arise that affect the overall quality of education, the most obvious one being the performance management of teachers in higher vocational colleges. Based on a deep learning algorithm, this paper uses scientific intelligence to study the influencing factors and optimization strategies of teacher performance management in higher vocational colleges. Firstly, the deep learning network is used to extract the relevant factors affecting the performance appraisal and evaluation of teachers in higher vocational colleges. Then, a network relationship graph is established according to the interrelationship between the impact factors and other factors. By means of a questionnaire, this study explores the main problems in the performance appraisal and management of teachers in higher vocational colleges. Secondly, the researcher designs the preliminary structure of the management model based on the current standards and implementation plans for the performance management of teachers in such colleges. The optimization path of performance management is analysed by using deep learning and a Bayesian network algorithm. Finally, the factors affecting teacher performance management and performance management optimization strategies are experimentally verified and applied to establish a scientific and effective performance evaluation system, so as to make the assessmentandperformance
management results accurate and objective. The experimental results show that deep learning algorithms can be used effectively to process dynamic data and address optimization path problems. The scientific basis and accuracy of performance management also affect teachers’ attitudes to their work tasks and the future development of the education sector.

Keywords: deep learning; higher vocational colleges; performance management; optimization; Bayesian algorithm

Cite As

S. Zang, "Optimization Strategy for Teacher Performance Management in Higher Vocational Colleges Based on
Deep Learning", Engineering Intelligent Systems, vol. 33 no. 3, pp. 311-320, 2025.

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Published

2025-05-01

Issue

Vol. 33 No. 3 (2025): International Journal of Engineering Intelligent Systems

Section

Article

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