Research On Classroom Questioning In Primary School Mathematics Based On Deep Learning

In primary school mathematics,deep learning refers to meaningful learning in which students devote themselves to learning under the guidance of teachers and point to the development of practical problem-solving ability and advanced thinking ability.What are the characteristics of elementary school math questions under deep learning? Deep learning is closely related to classroom questioning,the concept of deep learning,as a teaching concept,provides three research dimensions for the study of classroom questioning in primary mathematics,which are,the presupposition and generation of teaching objectives,the meaning construction of teaching contents,and the interaction of teaching process.Starting from the three research dimensions,this paper uses literature method,classroom observation method,interview method and case analysis method to study the characteristics of the teachers' classroom questioning,and finds that the primary school mathematics classroom questioning under deep learning has three characteristics: Grasp generative resources on the basis of careful presetting;Help students form new knowledge structure through meaning construction;Grasp the opportunity to ask questions in substantive interactions.To reflect these three characteristics,teachers need to follow the below points when asking questions in class: Firstly,in order to well preset questions and grasp generative resources,teachers need to clarify the purpose of asking questions and pay close attention to students' thinking trend;Secondly,in order to help students complete the meaning construction,teachers need to go through the process of knowledge decomposition,connection and integration;Thirdly,in order to grasp the best opportunity to ask questions,teachers should ask questions when the knowledge comes across the important and difficult part,when students' thinking is confused and when students' understanding is superficial.