A Study On The Teaching Of Chinese Large Unit In Senior High School Aiming At Deep Learning

It is a kind of core means to restructure the Chinese teaching unit and further improve the students’ learning quality,which can be used to adapt to the current teaching effect.Although large unit teaching is more and more used in Chinese classroom,there is still a slight lack in the utilization of unit theme and the integration of unit content,lack of specific and clear strategies,and its implementation effect is not satisfactory.At present,there are relatively few studies on large unit teaching of Chinese in senior high school.Deep learning pays attention to the cultivation of students’ high-order thinking and comprehensive quality.It not only pays attention to the teaching effect,but also pays more attention to the teaching process.It can be used as the improvement direction of large unit teaching.Therefore,this study takes the Chinese large unit teaching in senior high school compiled by the Ministry as the research object,uses the methods of literature research,questionnaire survey,case study and interview,analyzes the main problems existing in the current Chinese large unit teaching,and tries to explore the methods and strategies that can optimize the large unit teaching with the direction of in-depth learning.The main body of the thesis is divided into five parts:The first part summarizes the high school Chinese large unit teaching pointing to deep learning,explains the relevant important theories of pedagogy and psychology,defines the concept of deep learning and large unit teaching,and summarizes the four basic characteristics of deep learning.The second part discusses the significance of large unit teaching pointing to deep learning,that is,comprehensively and deeply integrate the observation teaching materials,strengthen the deep understanding of the text,promote the transfer and application of knowledge,increase students’ critical reflection activities and enhance students’ participation and sense of experience.The part draws the conclusion that deep learning can optimize the implementation of large unit teaching.The third part,according to the questionnaire and interview,summarizes the five main problems existing in the current large unit teaching,namely: the orientation of the unit goal is not strong,the meaning of the unit theme is not rich,the understanding of the unit content is superficial,the integration of the unit structure needs to be improved,and the richness of the unit activities is not enough.And analyze the causes of various problems.The fourth part combines deep learning with large unit teaching,and first defines four teaching principles.On this basis,this thesis puts forward five targeted teaching strategies,and defines the needs of large unit teaching pointing to deep learning: reasonably constructing unit objectives and implementing them layer by layer;Deeply formulate the unit theme and highlight the typical;Re analyze the content of the unit and deepen the teaching;Improve the integration unit structure and collect texts;Actively participate in unit activities,transfer and use.Finally,five problems that should be paid attention to in the implementation are supplemented to enhance the operability of the implementation.The fifth part presents a complete teaching design by applying the above implementation strategies,which aims to provide reference cases for teachers to carry out large unit teaching.The innovation of this study is to combine deep learning with large unit teaching,explore the methods that can effectively promote large unit teaching,and put forward five implementation strategies,hoping to provide reference ideas for front-line teaching.