Research On Unit Teaching Of High School Physical Mechanics Based On Deep Learning

Deep learning is a kind of learning method and learning concept which starts from students' previous experience in the real learning situation,in order to avoid students' staying in shallow learning,actively and critically develop their high-level thinking ability in the process of problem solving,and realize meaningful learning.In the field of pedagogy,how to make learners achieve "deep learning" in the learning process of various disciplines has always been one of the focuses of academic researchers.According to the research direction of deep learning,it can be divided into high-level learning,integrated learning,reflective learning and other types.Unit learning is essentially an integrated learning.Implementing unit teaching is an important way for students to achieve deep learning."How to carry out unit teaching based on deep learning" and "How effective after unit teaching" are the two key issues in this study.The theoretical and practical parts of the work mainly focus on these two issues.In the practice of physics teaching,deep learning is usedto guide unit teaching,trying to provide a reference for first-line teachers to implement the core qualities of the discipline under the new curriculum reform.In the first and second chapters of this study,through literature research,the research status and development trends of deep learning,unit teaching,and high school physics mechanics was reviewed.The basis for the question was demonstrated,and physics mechanics of the high school was determined as practical study contents.On the basis of theoretical research,the core concepts of deep learning and unit teaching are defined,and the connection between deep learning and unit teaching is expounded.Combined with the knowledge of pedagogy,psychology,and curriculum and teaching theory,the theoretical basis of unit teaching under deep learning was sorted out.The third chapter,through questionnaires and interviews,analyzes the deep learning situation of high school students and the common problems in learning physics,understands the attention of first-line teachers on deep learning,and the views of the implementation unit teaching.In the fourth and fifth chapters,according to the theory of deep learning and unit teaching,a unit teaching program considering deep learning was designed.Unit teaching is divided into preparation stage,implementation stage and evaluation stage.It is clear that unit teaching should be conducted under the principles of integrity and continuity,interaction and reflection,creativity and operability.On this basis,a unit teaching process model concerning deep learning is established.Among the specific teaching steps,the teaching concept of "two-time criticisms" was put forward.Chapters 6 and 7 are the practical parts of the dissertation,and the unit teaching process model based on deep learning was used in practical teaching.The unit planning of high school physics mechanics was carried out,showing the unit teaching design of the two units of interaction,motion and force.In order to fully explain the specific operation steps of the process model,the new lectures and exercise classes of Newton's first law will be used as examples.Through the analysis of the questionnaire and unit test results after the practice,the validity and feasibility of the unit teaching process model by deep learning is proved.Finally,in chapter8 the summary and reflection has been made through the results of theory and practice,and the shortcoming and prospect of the research is pointed out as well.