Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

November 14, 2024


Pages


DOI

Article

Modeling Kindergarten Teachers’ Leadership in Child Care Education and Its Contribution to Teaching Quality

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Authors

Jingshu Wang Affiliation:
School of Early Childhood Education, Shanghai Normal University Tianhua College, Shanghai, 201815, China.


Abstract

This paper synthesizes the theories of kindergarten care education and leadership, constructs the kindergarten teachers’ leadership model of care education, and defines the four independent variables of the model. The questionnaire design is completed through interviews and references to related literature. The reliability and validity of the research data based on the questionnaire are evaluated, and the method of analysis and calculation process are provided. Using this data analysis method, the leadership model of kindergarten teachers in childcare education and the quality of teaching and learning are empirically analyzed. The results show that the leadership model of kindergarten teachers’ childcare education has a significant positive correlation with the quality of teaching and learning, and the regression equation between the two is teaching and learning quality = 1.838+0.276*leadership traits + 0.150*leadership behaviors + 0.171*leadership context + 0.153*leadership theory of change, and there is no multicollinearity, which reveals the mechanism of the interaction between the leadership model of kindergarten teachers’ childcare education and the quality of teaching and learning. The mechanism of action in teaching quality can elevate kindergarten teaching quality to a new level.


Keywords

Pearson’s coefficient, Multiple linear regression, Multiple covariance, Leadership modeling, 97M80


Citation

Wang, J. (2024). Modeling kindergarten teachers’ leadership in child care education and its contribution to teaching quality. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-3264

Published by: Engineering Journals

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