Research On The Teaching Strategy Of Derivative Under The Deep Learning Field Of View

As one of the core content of calculus,derivative is a very powerful tool to study functions and inequalities and solve practical problems.At the same time,the arrangement of derivative units in senior high school mathematics has great integrity,paying attention to the integration of knowledge and the penetration of mathematical ideas,which is completely consistent with the teaching logic of deep learning theory.Deep learning is active and understanding learning,which is of great significance for students to form higher-order thinking and improve key abilities,and is also an effective way to implement core literacy.In the process of derivative learning,thinking development,knowledge integration and problem solving are inseparable from the teaching logic category of deep learning.Based on the perspective of deep learning theory and following the teaching logic of deep learning theory,this paper proposes effective strategies and teaching modes for derivative teaching to provide some references for derivative teaching.The following research is conducted.First of all,through literature analysis,the connotation,characteristics,teaching and evaluation theory of deep learning and its relationship with core literacy are clarified,and relevant theories of derivative learning and derivative teaching are sorted out,providing theoretical support for the following studies.Secondly,by means of questionnaire survey and teacher interview,to understand the current situation of students' deep learning of derivatives,to master the obstacles and difficulties in learning derivatives,and to provide a realistic basis for the teaching and research of derivatives.Finally,based on the above theoretical research and investigation and analysis,the derivative teaching research is conducted from the perspective of deep learning from three dimensions of derivative teaching logic elements,teaching strategies and teaching mode.The key elements of derivative teaching logic based on deep learning theory are:students' cognitive sequence,teaching content characteristics,mathematics core literacy and reflection on learning effect;It puts forward some teaching strategies,including teaching objectives pointing to higher order thinking,designing integrated,related,structured teaching contents,arranging situational,authentic and cooperative teaching activities,and selecting continuous and procedural evaluation methods.The derivative deep learning teaching mode is constructed,including designing teaching objectives,pre-evaluation,building learning community,guiding students to process knowledge deeply and evaluating feedback.