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Research On Unit Integrity Teaching Of Junior Middle School Mathematics Based On Deep Learning Theory

Posted on:2022-09-29Degree:MasterType:Thesis
Country:ChinaCandidate:Q ChenFull Text:PDF
GTID:2517306752973039Subject:Subject teaching
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Deep learning,as a new educational concept that emphasizes students' active participation,critical understanding of knowledge,problem solving and the development of high-level thinking,has attracted many scholars' attention to the research on how to promote students' deep learning.Integral unit teaching is one of the important ways to realize deep learning.It is of great significance to solve the problems of fragmentation of teaching content and neglecting the construction of students' knowledge structure in current teaching.Therefore,the design and implementation of holistic unit teaching is extremely urgent.Based on this background and combined with junior high school mathematics,this research has determined the main research problem: the overall teaching of junior high school mathematics unit based on deep learning theory.Based on this main question,four sub-questions are raised:(1)What is the current state of mathematics deep learning for junior high school students and the overall implementation level of the first-line mathematics teacher unit?(2)What are the principles and strategies for the overall teaching of junior high school mathematics units based on deep learning theory?(3)What is the process of the overall teaching design of the junior high school mathematics unit based on the deep learning theory?(4)How scientific and effective are the teaching principles and strategies and the teaching design process given?First,use the literature research method to sort out the related literature of deep learning and unit teaching,analyze the deficiencies in existing research,and put forward research questions.Secondly,a questionnaire is used to investigate the status quo of deep learning in mathematics of junior high school students,and common problems among students are found;a questionnaire and interview are used to investigate the level of knowledge and implementation of the overall teaching of mathematics units by frontline teachers.On this basis,the overall teaching principles and strategies of the junior high school mathematics unit based on deep learning are proposed,and the basic process of the overall teaching design of the mathematics unit is proposed with reference to the existing research results.Finally,based on the basic process of the overall teaching design of the junior high school mathematics unit under the constructed deep learning theory,the theme of "one-dimensional quadratic equation" is selected to implement the design,and the starting class is selected for comparative teaching practice,and the teaching effect is analyzed based on the test data after class.Improve the basic process of the overall teaching design of the mathematics unit.Through the above research,the following conclusions are drawn:(1)The overall teaching of junior high school mathematics unit under the concept of deep learning must follow the principles of integrity,hierarchy,subjectivity,and dynamics.In teaching,teachers can use design unit guidance tables,refined learning activities,analogy structure teaching,and emphasis Unit starting class and unit summary class teaching and other strategies are carried out.the basic process of the overall teaching design of the junior high school mathematics unit based on deep learning is:(1)Recognition preparation stage: overall grasp of knowledge content;(2)Development and design stage: overall planning and design teaching;(3)Evaluation and reflection stage:overall evaluation and inspection effect.(2)The overall teaching of junior high school mathematics unit based on deep learning is effective.It can help students overcome the disadvantages of fragmented knowledge learning and master the unit knowledge as a whole.It has a certain effect on promoting deep learning and improving subject literacy.
Keywords/Search Tags:Junior middle school Mathematics, unit integrity teaching, deep learning
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