Research On The Design Of Mathematics Classroom Teaching In Senior School Based On Deep Learning

In January 2017,the Ministry of Education officially promulgated the Standards for General Senior High School Mathematics Curriculum(2017 Edition),which explicitly proposed that students 'core academic literacy should be developed,and deep learning is based on the cultivation of students' core literacy.In order to fulfill the fundamental task of cultivating people by virtue,teachers need to guide students from the symbolic learning of knowledge to the grasp of the nature of the discipline and the method of thinking of the discipline.Deep learning is an inevitable trend of classroom reform.This thesis mainly explores how to promote students' deep learning in the design of high school mathematics classroom teaching.The thesis is mainly divided into the following sections:The first part expounds the background and significance of the topic selection,analyzes its research value,determines the research method,and clarifies the research purpose by conducting a literature review of the current status of deep learning research at home and abroad.In the second part,the concepts and five major features of deep learning are systematically introduced,and the three theoretical foundations of deep learning are systematically introduced.In the third part,according to the connotation and five characteristics of deep learning,a “Senior High School Mathematics Deep Learning Status Survey Questionnaire” was compiled.The questionnaire survey data was used to understand the current deep learning status of high school students and analyze the relevant data in detail.The fourth part,through interviews with high school mathematics teachers,to understand their views on in-depth teaching.The fifth part,based on the results of questionnaire surveys and interviews,analyzes the reasons that affect students' deep learning from the aspects of students and teachers.The sixth part,combined with the reasons,puts forward teaching design suggestions for deep learning for high school students,and gives specific teaching cases.