Research On In-Class Flipping Teaching Mode Based On Deep Learning

With the advance of the information age,education is undergoing a transformation from the past "teaching-centered" to "learning-based teaching" education paradigm."Deep learning" and "teaching method reform" have become the focus of this profound educational reform.Flipped classroom,as a product of in-depth integration of information technology and education and teaching,not only meets the needs of education and teaching reform at the current basic education stage,but also responds to the current pursuit of deep learning teaching goals.However,teaching practice has found that the application of flipped classrooms to different regions and disciplines in my country has certain local discomforts.Therefore,when our country has entered the stage of localization research on flipped classrooms,the sub-mode of flipped classroom teaching model proposed by experts and scholars represented by Professor Zhu Zhiting-the "flipped in class" teaching model came into being.The in-class flipped teaching model not only provides students with independent learning space,but also cultivates students' high-order thinking ability through collaborative exploration,operational exercises and other links,so that students can develop from shallow learning to deep learning,which coincides with the goal of deep learning.Therefore,It can be considered that it provides new ideas for the development of deep learning.Based on this,this research focuses on the three core issues of "the internal relationship between in-class flipping and deep learning","how does in-class flipping promote students' deep learning",and "how is the effect of deep learning under in-class flipping teaching".First of all,this research explains the main connotation and theoretical basis of deep learning and in-class flipping through literature reading and collation,in order to analyze the internal connection between in-class flipping and deep learning,and confirm that in-class flipping promotes deep learning effect.Secondly,it sorts out the existing classic flipped classroom teaching mode,and compares and analyzes the advantages of the flipped teaching mode in class.And to improve the classic model,guided by the goal of deep learning,build and integrate various learning scaffolds that promote students' deep learning,and build an in-class flipped teaching model based on deep learning.Thirdly,in order to ensure the smooth implementation of the teaching model constructed in this research in the teaching process,and to show how the model is specifically developed in the junior high school information technology curriculum,the teaching model constructed in this research mainly focuses on the second grade information technology curriculum.The representative "Flash Shape Tween Animation" lesson was used as an example to design a teaching case.Finally,this research is based on the second-year information technology course,designed an educational experiment,implemented the in-class flipped teaching model constructed by this research in the experimental class,and the control class still uses the traditional teaching model.Through the collection,processing and analysis of the students' pre-and post-test data in the "Deep Learning Measurement Questionnaire",written test,and computer operation,the performance of students at different levels is analyzed.Finally,it is concluded that the in-class flipped teaching model based on deep learning constructed in this research helps students to adopt a deep-oriented learning method,enhance students' learning motivation,and improve students' deep cognitive level,especially in terms of analysis and creativity.And it can improve students' practical operation ability,promote the transfer and application of knowledge,and enable students to achieve the goal of deep learning in meaningful learning.