Research on the Professional Development Path of Preschool Teachers under the Analysis of Intelligent Educational Big Data

Abstract

Most of the current research on teachers' professional development is based on literature and theory, lacking empirical support. In this regard, a study on the professional development path of preschool teachers under the support of intelligent education big data is carried out. 500 young teachers in colleges and universities belonging to the first-level discipline of “preschool education” and under the age of 40 were selected as data collection targets, and data collection and pre-processing were carried out. On this basis, the clustering algorithm and IF-IDF algorithm were used to construct a teacher portrait model based on data mining technology, and the model was applied to preschool education in colleges and universities, thus designing a professional development path for preschool teachers that integrates the teacher portrait model, and then carrying out an empirical analysis of the path. After the intervention of the teaching experiment, it was found that the differences between the experimental group and the control group in teaching skills, theoretical knowledge of teaching and values were at a significant level, P<0.05, indicating that the integration of the teacher portrait model in the professional development path of preschool teachers is more conducive to the professional development of preschool teachers.