A Case Study Of Elementary School Science STEM Education Based On Deep Learning

In recent years,deep learning has become a hot issue in the field of education.As a new educational concept,deep learning is the summary and refinement of excellent educational theories and teaching practices,which aims to cultivate students' high-level thinking,thus contributing to the cultivation of students' core literacy.How to realize deep learning and how deep it is are the problems that front-line teachers need to think about.STEM education is essentially an integrated education of science,technology,engineering and mathematics.It aims at cultivating students' STEM literacy and promotes the construction of students' personal knowledge system and the improvement of their comprehensive ability by means of interdisciplinary learning,which is consistent with the value orientation of deep learning.The real situation,interdisciplinary integration and project-based learning advocated by STEM education provide support for deep learning.It can be seen that STEM education is an effective way to achieve deep learning.Under the guidance of deep learning theory,this study focuses on three issues:the design of STEM education and teaching mode based on deep learning,the case application of STEM education and teaching mode based on deep learning,and the effect analysis of case application.It combines deep learning with STEM education from the aspects of theory and practice,in order to provide some references for primary school science teachers.The first chapter puts forward the research problems,defines the research direction and value,indicates the difficulties and innovations of the research,selects the research methods and determines the research ideas by combing the Chinese and foreign literature on STEM education,science education and deep learning.It is concluded that the development of STEM education in foreign countries is encouraged by a series of national policies and documents.China's STEM education has gone through the enlightenment and exploration stage of China's STEM education and the characteristic stage of China's STEM education.The development of science education in foreign countries has gone through three stages:elite science education,mass science education and integrated science education.China's science education has also been on the right track after many curriculum reforms.Internal and external deep learning gradually develops from artificial neural network to computer field,and then to education field.The second chapter defines the core concepts of STEM education,deep learning and shallow learning,compares deep learning with shallow learning in nine dimensions,summarizes the characteristics of deep learning,and provides theoretical basis for deep learning from four aspects of constructivism,situational cognitive theory,distributed cognitive theory and metacognitive theory.The third chapter takes the implementation process of STEM education as the abscissa,takes the occurrence route of deep learning as the ordinate,and combines with 6E teaching mode to design the STEM education and teaching mode based on deep learning.The learning process is divided into six stages: participation,exploration,interpretation,engineering,deepening and evaluation.From shallow to deep,it gradually promotes the occurrence of deep learning.The fourth chapter uses the STEM education teaching mode based on deep learning to build the case teaching of "bookshelf",in order to prove the teaching mode.First,the whole practice arrangement is clearly defined,then the teaching objectives are set from four dimensions:scientific knowledge,scientific inquiry,scientific attitude,science technology and society and environment through learner analysis and teaching content analysis.In addition,the interdisciplinary nature of STEM education itself has been developed,so the interdisciplinary knowledge map of "bookshelf" is developed.Based on the model,the teaching process of "bookshelf" is designed,which has 4 classes.In order to evaluate the teaching effect,the paper and pencil test and questionnaire are used to evaluate the teaching effect.According to the NSSE China subscale and Likert scale,the questionnaire is developed from three dimensions:cognitive field,personal field and interpersonal field.The implementation effect of STEM education course is formulated from the aspect of personal achievement by using the framework table of student achievement evaluation of STEM project outside the United States questionnaire.The fifth chapter through the analysis of students' paper and pencil test results,it is found that students can master basic scientific knowledge.Through the analysis of the questionnaire results of deep learning ability,it is concluded that students' abilities in information integration,critical understanding,problem solving,transfer and application,learning motivation,learning methods,self reflection,cooperative innovation,communication and communication have been improved.Through the analysis of the results of the questionnaire on the implementation effect of STEM education curriculum,it is found that students have a positive attitude towards STEM education and recognize the value of STEM education.Through interviews with elementary school science teachers,we can organize and analyze the interview records,and then comprehensively consider from the perspective of students and teachers the effect of this case teaching.The sixth chapter mainly summarizes the research conclusions,research deficiencies and research prospects of this thesis.This research first builds a STEM education teaching model based on deep learning,then applies the model to case teaching,and finally conducts quantitative analysis from the three aspects of knowledge,ability and attitude.It puts forward the research deficiencies in the three stages before,during and after the practice,and puts forward hope for deep learning and STEM education from two perspectives of theory and practice.