Research On High School Mathematics Teaching Strategy Based On Deep Learning

With the effective promotion of the new round of curriculum reform,deep learning has become a new educational idea advocated by quality-oriented education.So it is necessary to take deep learning as a carrier of education method,so that better teaching results can be achieved.Through deep learning,students' high-order thinking could be cultivated and constructed in math classes.In addition,deep learning can also help the students develop the habit of making judgements based on rational thoughts.What is more important,the ability to analyze,assimilate and apply mathematical problems is also gained through deep learning.Deep learning focuses on the value of students' study and the relevance,hierarchy and integrity of knowledge.The thesis explores how to implement deep learning in math class teaching of senior high school,and has a discussion on how to make students deeply understand mathematics and think through math problems.Therefore,based on the theory of deep learning,taking the teaching case of conic curve in the chapter of analytic geometry as the practical carriers,this study elaborates the strategies of deep learning in high school mathematics teaching,and analyses the influence of deep learning in various levels of math classes,aiming at putting forward diagnostic suggestions to make deep learning achieve in real math teaching process.In theory,by combing a large number of documents,the thesis clarifies the development of deep learning itself and the deep learning of mathematics.On the basis of this,the characteristics and contents of deep learning and the definition of deep learning of mathematics are obtained.Combining with the characteristics of mathematics and Bloom's cognitive goal taxonomy and constructivism theory,the characteristics of teaching strategies to promote deep learning of mathematics are extracted.In practice,combining with theoretical content of deep learning discussed above,the thesis analyzes relevant teaching strategies.Through the analysis,the deep learning-promoted teaching of mathematics can be divided into five stages: course analysis stage pointing to deep connotation,students evaluation stage pointing tocognitive development,comprehensive learning stage pointing to deep learning,learning reflection stage pointing to higher order thinking and the stage of effect evaluation pointing to the level of understanding.Then comes up with specific teaching strategies on five stages of teaching,and puts forward practical suggestions for each teaching strategy.At the same time,some teaching cases are used to prove the necessity of teaching strategies and provide reasonable teaching reference for teachers.Finally,combining with proper teaching strategy,the teaching design of conic curve is carried out,and the intention of the design is analyzed,so as to demonstrate the necessity of deep learning through the cases of conic curve.