A study of preschool integration of deep learning to optimize the content of personalized education for young children

被引:0
|
作者
Ding, Yanyun [1 ]
Li, Yongxia [2 ]
机构
[1] College of Education, Hengshui University, Hebei,053000, China
[2] Academic Affairs Office, Hengshui University, Hebei, Hengshui,053000, China
关键词
Adversarial machine learning - Contrastive Learning - Deep learning - Deep reinforcement learning;
D O I
10.2478/amns-2024-2432
中图分类号
学科分类号
摘要
With the reform and development of modern education curriculum, the focus of preschool education has changed from focusing on the learning results to the learning process of young children, and deep learning, as a hot trend of education reform, is an important way to implement education reform in pre-school education, which is based on problem-solving, emphasizing on the application of migration, and focusing on the reflective construction. Deep learning, a trend of educational reform that is based on problem-solving, emphasizes transfer and application, and focuses on reflection and construction, is an important way to implement educational reform in preschool education. This study first explores the connection between preschool education and deep learning, collects the problems of deep learning in preschool education through a questionnaire survey, and builds a personalized preschool education model based on deep learning in combination with DELC theory. The teaching effect of the deep learning preschool education model is explored through educational comparison experiments in this paper. The mean value of the preschool education model of this paper compared with the traditional preschool education in the four dimensions of learning motivation, learning input, learning strategy, and learning outcome were increased by 2.00~4.00 points, respectively, and the Sig values were all less than 0.05. Meanwhile, the average grade of this paper’s teaching model was 65.124 points, which was increased by 3.112 points compared with the average grade of the traditional cumulative preschool education model, proving that this paper’s effect of the application of deep learning personalized preschool education mode, which has a significant advantage in the degree of deep learning and learning achievement. In addition, this study provides suggestions for the development of deep learning in preschool education from the levels of teachers, teaching materials, teaching curricula, and external support so as to promote the process of deep learning in preschool education. © 2024 Yanyun Ding and Yongxia Li, published by Sciendo.
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