Deep Learning-based High School Physics Unit Review Class Instructional Design And Practical Research

Deep learning is a kind of teaching concept and teaching method that takes students as the main body and aims at their development,and aims at cultivating students’ thinking ability and core literacy.A unit review lesson based on deep learning can avoid the passive learning state of students who are taught by a single knowledge point and listened to by teachers.Instead of simply listing knowledge points in one piece,such a unit review lesson aims to promote students’ deep thinking about knowledge and establish deep connections between knowledge.This thesis explores the relevance and guiding principles of implementing deep learning instruction in high school physics unit review lessons from a deep learning perspective.The purpose of this thesis is to apply deep learning theory to the teaching of high school physics unit review lessons and to design and practice unit review lesson instruction for high school students.The study aims to use contextual teaching methods and challenging learning tasks to stimulate students’ deep thinking;to improve students’ communication and cooperation skills through cooperative group learning;to help students improve their knowledge system by means of mind mapping;and to consolidate unit knowledge by applying problem group exercises to improve students’ knowledge transfer ability.Through the teaching practice of unit review class based on deep learning theory,we improve students’ interest in physics learning and teaching efficiency of review class,promote students’ deep learning,and improve students’ knowledge transfer ability and problem solving ability.Firstly,we have a general grasp of the relevant theories through literature analysis method,and have an in-depth understanding of the application of deep learning theory in teaching,and find that deep learning theory has a wide range of applications in teaching.Secondly,with the help of NSSE-China deep learning subscale and Biggs’ R-SPQ-2F deep learning evaluation scale,we compiled the "Deep Learning in High School Physics Unit Review" questionnaire to measure students’ deep learning styles and processes in the unit review process,and analyzed and found that sophomore students adopted more deep learning styles and strategies for learning physics.We also learned from the teacher interviews that the teachers’ understanding and application of the "deep learning" theory in teaching need to be further deepened.Again,we explored the teaching design of high school physics unit review lessons based on in-depth learning theory,tried to determine the teaching principles and elements of teaching design for unit review lessons,formed corresponding teaching design cases and conducted teaching implementation and evaluation.Finally,with the help of scale data to analyze students’ deep learning styles and processes,and with the help of SOLO classification theory to prepare test questions to analyze students’ deep learning thinking levels,the following conclusions were obtained: teaching unit review lessons based on deep learning has a positive effect on students’ deep motivation and use of deep strategies,and students’ thinking levels gradually transition from shallow learning to deep learning,which is conducive to improving students’ ability to integrate and construct knowledge,problem solving ability,and developing students’ core literacy in physics subjects.