Research On The Influence Of Blended Teaching On Deep Learning Of Junior High School Students

At present,we are living in a smart learning environment supported by the Internet.5G+AI helps build a full-field smart learning environment,which has a profound impact on school education and teaching,and also puts forward new requirements for human training.As an important concept to promote the development of students’ high-level thinking,deep learning can effectively promote human development.In the information age,how to use information technology to improve education and teaching and promote students’ deep learning has become an important engine for teaching reform.As an important trend of teaching reform,blended teaching has created favorable conditions for students’ deep learning.Therefore,this study explores the impact of blended teaching on deep learning in junior high school through empirical methods,providing reference for the application and practice of blended teaching model in junior high school students.First of all,by combing related literature of blended teaching and deep learning,grasp the research status of blended teaching and deep learning at home and abroad.It is found that the research on blended teaching at home and abroad mainly focuses on teaching model,teaching design,teaching application,teaching strategy and so on.The research on deep learning focuses on deep learning monitoring,classroom teaching,influencing factors and strategy research.Secondly,it is guided by Bloom’s taxonomy of educational objectives,blended teaching theory,deep learning theory and solo classification theory.Based on the preliminary analysis of learners,learning objectives and learning content,the principles of blended teaching design are formulated.Based on the elements of teaching objectives,teaching contents and teaching environment,the mixed teaching design framework of pre-class guidance,in-class teaching and after-class consolidation and improvement is constructed.Thirdly,the quasi-experimental study was carried out on the seventh grade students of a middle school in Luliang City,Shanxi Province,in which 3 classes were experimental classes and 3 classes were control classes.After the experiment,data analysis of experimental class and control class proves that blended teaching has a positive impact on junior high school students’ deep learning.In addition,the specific data in the blended teaching process is analyzed to understand the influence of different classes,gender and whether there is blended learning experience on students’ deep learning.Then,through the data analysis of the Deep Learning Influencing Factors Questionnaire,Deep Learning Scale and student interview data analysis,it is found that the influencing factors of students’ deep learning in blended teaching are mainly students’ self-efficacy,learning interest,learning ability and teaching resources.The feasibility of hybrid instructional design framework is verified in teaching practice.Finally,from the perspectives of stimulating students’ deep learning motivation,promoting students’ deep learning investment and providing a variety of learning strategies,this paper proposes strategies to promote students’ deep learning in blended teaching,so as to improve junior high school students’ deep learning level.