Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

October 4, 2024


Pages


DOI

Article

Teacher career planning model and career development path optimization strategy in educational management

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Authors

Yuansong Liang Affiliation:
Namseoul University, Cheonan, 31023, South Korea.


Abstract

Teachers’ career planning is one of the areas of focus in education management. This paper uses hyperplane and Lagrange optimization to classify samples and then constructs a prediction model of teachers’ career plans. Based on this, we analyzed the factors that influence teachers’ career satisfaction using both factor analysis and regression analysis techniques. The results indicated that an increase of 1 unit in career exploration, interpersonal relationships, ability improvement, and self-awareness led to a corresponding increase in teachers’ career satisfaction of 0.688, 0.242, 0.153, and 0.121 units, respectively. Therefore, this paper proposes to optimize teachers’ career development paths in terms of self-awareness of professional development, interpersonal communication, faculty management optimization, and full use of prediction models.


Keywords

SVM predictive model, Teacher career planning, Regression analysis, Factor analysis, 00A35


Citation

Liang, Y. (2024). Teacher career planning model and career development path optimization strategy in educational management. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2692

Published by: Engineering Journals

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