Research On Influencing Factors Of Children’s Deep Learning

Deep learning is an important trend of education reform and development in China,and it is also a hot research topic in the field of education in recent years.Through deep learning,children can not only develop cognitive abilities such as higher-order thinking,but also acquire the development of movement,skills,emotion and social aspects.Clarifying the influencing factors of children’s deep learning and putting forward targeted education suggestions can enrich the related research of children’s deep learning,help kindergarten teachers master the methods to promote children’s deep learning,and thus help children to carry out deep learning.At present,domestic researches on the influencing factors of deep learning mainly focus on students in primary schools,middle schools and universities.However,researches on the influencing factors of deep learning in the field of preschool education are still relatively lacking.Therefore,this study based on the status of deep learning activities practice field,select 17 deep learning experimental kindergartens,use Triadic Reciprocal Determinism proposed by Bandura as the analysis framework,and comprehensively adopt the literature method,case analysis method,observation method and interview method,from the two dimensions of children’s subject factors and external environmental factors,deeply explore the influencing factors of children’s deep learning,and put forward targeted education suggestions on this basis,provide useful references for kindergarten teachers to promote children’s deep learning.This study is divided into the following four parts:In the first part,the question is raised.It mainly introduces the research origin,core concepts,research significance,and research questions of the thesis,and combs and summarizes the research on learning influence factors,deep learning and deep learning influence factors at home and abroad,and designs a research framework on this basis.The second part is the children’s subject factors that affect children’s deep learning.Combined with in-depth analysis of existing theories,activity cases and interview data,it is concluded that the children’s subject factors affecting children’s deep learning include learning motivation,learning transfer,learning quality,metacognition and other factors(age,gender),and the specific impact of each factor is analyzed in detail.The third part is the external environmental factors that affect children’s deep learning.Through a comprehensive analysis of existing theories,activity cases,and interview data,it is concluded that the external environmental factors affecting young children’s deep learning mainly include teacher support,peer cooperation,peer conflict and other factors(teacher-child relationship,home cooperation).The process by which these external environmental factors play a role is analyzed.The fourth part,educational suggestions.Based on the analysis of the influencing factors of children’s deep learning,two aspects of specific educational suggestions are summarized: First,educational suggestions on children’s subject factors.They include:1.Stimulate children’s learning motivation and improve the drive of deep learning;2.Improve children’s migration ability and promote problem-solving in activities;3.Improve children’s metacognitive ability,promote deep reflection and construction;4.Cultivate children’s good learning quality and improve the effect of deep learning.Second,educational suggestions on external environmental factors.They include: 1.Strengthen teachers’ ability to support children’s deep learning;2.Promote children to establish an efficient peer learning community;3.Build a positive teacher-child relationship conducive to deep learning;4.Develop home-kindergarten cooperative resources to support children’s deep learning.