Research on Questioning Strategy of High School Physics Studentsfor Deep Learning

Abstract

Objective: Deep learning is essentially a machine learning method based on neural network. The introduction of the deep learning concept in physics teaching can help students better understand physical principles and cultivate students' core literacy, which is in line with the requirements put forward in the new curriculum standard.
Methods: This paper puts forward a teaching strategy of how to guide students to ask questions and promote students' deep learning in high school physics teaching.
Results: By guiding students to ask questions, teachers can improve students' ability of deep learning, so as to effectively cultivate students' core physical literacy. At the same time, it also provides a reference for teachers to guide students and apply deep learning theory to high school physics.
Conclusion: By creating physical situations, paying attention to classroom generative problems, highlighting experimental exploration and grasping the growth point of students' thinking, students are guided to put forward in-depth and enlightening questions, so as to promote the in-depth development of students' thinking and the understanding and mastery of subject knowledge.