Information Security Model for Evaluating the Competence of Preschool Teachers Using Data Mining Technology

Kindergarten is an important part of basic education. Creating high-quality early childhood education and promoting the healthy growth of young children need to be achieved through teachers. Kindergarten teachers' core literacy is the basic professional literacy that kindergarten teachers should possess, which is an important foundation for ensuring the quality of kindergarten teachers' teaching and is the key and prerequisite for developing children's core literacy. Through the construction of teacher competency based on children's core literacy and the curriculum of teacher education based on teachers' core literacy, we try to promote the progress of kindergarten teachers, optimize the construction of kindergarten teachers, promote the quality and competence of kindergarten teachers, and lay the foundation for ensuring the quality of preschool education by continuously strengthening the training and cultivation methods of kindergarten teachers. Therefore, the demand for high-quality early childhood education will eventually translate into the demand for teachers. Adopting a scientific approach to assess the competence of preschool teachers can help improve the teaching and research ability of preschool teachers and the overall level of early childhood teaching and learning. In order to improve the shortcomings of traditional preschool teachers' teaching quality assessment in which the weights of each index are susceptible to human influence, based on the study of index coefficient analysis, feature reorganization and feature analysis, this paper constructs a model for evaluating preschool teachers' educational competence in a big data environment and proposes to establish an evaluation scheme for preschool teachers' educational competence based on data mining technology. The simulation results further verify the superiority of the proposed model in improving the evaluation of preschool teachers' educational competence.

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Publication Details

Journal
Computer Fraud & Security
Published
2024-12-25
DOI
https://doi.org/10.52710/cfs.172
Primary Topic
Advanced Data Processing Techniques
Type
article
Field-Weighted Citation Impact
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article

Information Security Model for Evaluating the Competence of Preschool Teachers Using Data Mining Technology

Zhi Zhang
Computer Fraud & Security
Advanced Data Processing Techniques
article

Information Security Model for Evaluating the Competence of Preschool Teachers Using Data Mining Technology

Zhi Zhang
article en

Abstract

Kindergarten is an important part of basic education. Creating high-quality early childhood education and promoting the healthy growth of young children need to be achieved through teachers. Kindergarten teachers' core literacy is the basic professional literacy that kindergarten teachers should possess, which is an important foundation for ensuring the quality of kindergarten teachers' teaching and is the key and prerequisite for developing children's core literacy. Through the construction of teacher competency based on children's core literacy and the curriculum of teacher education based on teachers' core literacy, we try to promote the progress of kindergarten teachers, optimize the construction of kindergarten teachers, promote the quality and competence of kindergarten teachers, and lay the foundation for ensuring the quality of preschool education by continuously strengthening the training and cultivation methods of kindergarten teachers. Therefore, the demand for high-quality early childhood education will eventually translate into the demand for teachers. Adopting a scientific approach to assess the competence of preschool teachers can help improve the teaching and research ability of preschool teachers and the overall level of early childhood teaching and learning. In order to improve the shortcomings of traditional preschool teachers' teaching quality assessment in which the weights of each index are susceptible to human influence, based on the study of index coefficient analysis, feature reorganization and feature analysis, this paper constructs a model for evaluating preschool teachers' educational competence in a big data environment and proposes to establish an evaluation scheme for preschool teachers' educational competence based on data mining technology. The simulation results further verify the superiority of the proposed model in improving the evaluation of preschool teachers' educational competence.

Computer Fraud & Security
Zhejiang Industry Polytechnic College (CN), Chongqing University of Education (CN)
Openalex Percentile: Top 68%
Advanced Data Processing Techniques
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