An Empirical Study Of Deep Learning Of Junior Middle School Mathematics Empowered By E-bags:A Perspective Of Educational Target Classification Theory

“Deep Learning” is the process by which students learn from a situation in a new learning context.In recent years,with the application of big data and artificial intelligence technology in education,a new teaching method to promote deep learning,from focusing only on student behavioral outcomes to focusing on student achievement,learning initiative,cognitive processes,and academic emotions.At present,e-books,as a mobile learning terminal carrying cloud computing,big data and artificial intelligence,becomes one of the effective tools for the teaching model of primary and secondary school teachers.In this context,the author has comprehensively applied methods such as literature analysis,questionnaire survey,experimental research and action research.Firstly,the research summarizes the connotation and development of the classification theory of educational goals,the concepts and characteristics of deep learning,and proposes a teaching model to promote deep learning under the guidance of deep learning theory.The model is based on student activities and is divided into six key links: pre-testing,precise target;courseware sharing,group discussion;test in the classroom,timely feedback;migration application,variant training;constructive expression,summary reflection;layered operation,precise development.We use the method of other groups of experiments,two classes in the seventh grade of a school in Hangzhou were selected as the research object.The research object used the seventh grade of junior high school mathematics in Zhejiang education as the textbook.Before the experiment,the pre-test and pre-test questionnaires were used to pre-test the students in the two classes to ensure the homogeneity of the experimental class and the control class;During the experiment,the experimental group adopted the deep learning teaching model,while the control group adopted the traditional method;After the experiment,the post-test and post-test questionnaires were used to measure the post-test scores,learning autonomy,and junior high school mathematics sentiment of the two classes.Finally,the SPSS22.0 statistical analysis software was used to analyze the relevant data and summarize the experimental conclusions.The experimental results show that:(1)the deep learning teaching model can effectively improve students' academic performance;(2)The deep learning teaching model has no significant effect on the learning autonomy of junior high school students;(3)The deep learning teaching model can cultivate students' positive mathematics emotions to some extent.It can be seen that the intervention of the deep learning model designed in this study can promote the students' learning and innovate the teaching methods.The research topic has good novelty and has practical value and significance.Not only that,this study also enriches the study of deep learning theory in the e-book environment.