Study on factors affecting preschool education service quality

To study the direction of preschool students’ interest development, this paper proposes to mine and analyze preschool students’ interest development data using a deep learning model. This paper first introduces the basic algorithmic process of deep learning BP neural network model, then uses a genetic algorithm to optimize the traditional BP neural network to get the best performance. The deep learning model is then used to analyze the preschool students’ family income, family structure, interest cultivation direction, gender and age, and interest cultivation orientation and diversion. The lower the family income, the higher the percentage of children choosing interest classes, mostly concentrated in families with income between 2000-8000. In terms of gender, there are also differences in interest cultivation analysis, with boys favoring the cultivation of science and sports abilities such as logical thinking, technology, calculation, and sports, accounting for about 20% more than girls in general, while girls favoring the cultivation of art abilities such as dance, English, reading, and vocal music, with 15-20% more than boys. Deep learning model-based interest development for preschool students can follow the natural choices of young children and provide scientific guidance for interest triage of preschool children.

Section: Introductionmentioning

confidence: 99%

Orientation and triage of preschool students’ interest development based on deep learning model

Hao,

Kong

2023

Research on Digital Resource Management and Sharing in Preschool Education Based on Eigenvalue Fitting Superiority Algorithm

Meng

2024

This study examines the optimization of digital resource management and sharing in preschool education, employing the Goodness of Fit (GoF) algorithm to assess eigenvalues’ suitability in this context. As digital educational materials proliferate, effectively managing and disseminating these resources is a critical challenge. We have developed a preschool educational digital resource management and sharing system grounded in GoF algorithmic principles through an in-depth evaluation of various GoF algorithms’ classification and detection capabilities. Our methodology combines theoretical exploration with empirical algorithm performance testing. Findings indicate that a GoF algorithm, explicitly leveraging the chi-square distribution, achieves over 95% accuracy in identifying preschool digital resources. Furthermore, this study introduces a novel dynamic fitting object model, addressing the GoF algorithm’s adaptability in fluctuating environments. Results affirm the algorithm’s broad adaptability and promising efficiency for managing and sharing digital resources in preschool education settings.

Current situation and training strategies of preschool students’ skills in the Internet era

Liu,

Zhang

2023

The analysis of the current situation of skills and training strategies of preschool students in colleges and universities is to provide more professional talents for the cause of early childhood education. This paper first gives a brief description of the association rule mining algorithm under Internet technology, gives the evaluation method of association rules, including support, confidence, and enhancement, and gives the basic process of association rule mining. Next, it is explained that the multi-objective optimization problem utilizes the objective function optimization for calculating the optimal solution, and the commonly used multi-objective optimization problem solution and the selection method of the fitness function are given. Then the principle of the whale optimization algorithm is described and explained, the whale optimization algorithm is used to optimize the objective function of association rules, and then the steps and processes of the WOA-ARM algorithm are obtained. Finally, the algorithm was used to mine the training strategy of GZ University as an example, the “situational experience” teaching and training method was proposed, and the teaching characteristics and objectives of this method were analyzed. Regarding teaching objectives, 48.75%, 32.27%, 12.39%, and 6.59% of the ratings were A, B, C, and D, respectively. This indicates that the “situational experience” teaching training is suitable for college preschool students, and there is a strong correlation between the current skills and the training strategy.