Research On Deep Learning In Structured Games For Children In Big Class

The new era background puts forward a new vision for building a learning society and cultivating modern talents with sustainable development ability.Deep learning,as the key intrinsic indicator of cultivating high-level talents in the new era,breaks through the traditional learning barriers and provides a clear direction for the considerable development of learners.Constructive play is a typical game that can reflect children's original cognition and new experience,drive the young children to operate and explore independently,cultivate critical thinking ability and develop high-level thinking ability in specific situations,which coincides with the intrinsic characteristics of deep learning.Therefore,attaching importance to the unique value of constructive play is an important way to make deep learning happen and promote the comprehensive development of children's personality.In view of this,this study is based on the development of deep learning in the structure games of large-class children,applying the methods of literature analysis,observation,interview,case law and other related research methods.This paper makes a thorough and detailed analysis of the outstanding problems that affect the development of children's deep learning as well as explores its causes,and puts forward some constructive measures to promote children's deep learning in structural games.The main contents are as follows:Introduction part.This paper mainly clarifies the reason of choosing this topic.By combing the existing literature on deep learning and structural games,draws up a detailed research plan,clarifies the main research ideas and methods,and puts forward some innovations.The first chapter is an overview of deep learning and structural games.In this paper,two key concepts of deep learning and structural games are explained.On the premise of accurately grasping the characteristics of deep learning and constructing game connotation,this study further explains the concept and characteristics of children's deep learning as well as the characteristics of large class children's structural games.Based on this,the paper also analyzes the process of structural games in the perspective of deep learning and the unique value of structural games in developing children's deep learning ability.The second chapter is the analysis of the practical problems and attribution of deep learning in the constructive play of large-class children.The author summarizethe questions in terms of he structural game cases,teacher's game observation records and teacher interview records that has observed and collected through the actual investigation of the kindergarten.The existing problems include: game behavior lacks clear purpose,insufficient interaction between old and new experiences,lack of metacognitive participation in the operation process,Lack of critical thinking skills,and lack of problem-solving ability.In view of the existing problems,the author starts from the external condition support of the structure game,the limitation of the child's own experience and the teacher about the structural games.The causes of the three dimensions of organization and guidance are analyzed.The third chapter is about the countermeasures to promote the deep learning of large class children in structural games.Based on the summary of the previous problems and the induction of the causes,the author further puts forward the strategies and suggestions to promote the development of children's deep learning in structural games.First,provide long-lasting and appropriate external condition support.Second,strengthen the organization and guidance of deep learning in structured games.Third,improve the deep learning evaluation system of structural games.Fourth,construct the structure game community from the perspective of deep learning.