Deep learning Chinese speech and literature can strengthen students’ understanding of the purpose of classical Chinese texts,and then improve students’ core language literacy.However,most of the Chinese adopts the traditional teaching form of teachers speaking and students listening,and students are not interested in learning classical Chinese.In view of these problems,the author analyzes classical Chinese from multiple angles and explores the teaching methods that guide students to deeply study classical Chinese.In addition to the "Introduction",the full text is divided into five chapters:The first chapter is the distribution of the first Chinese speeches and presents them in the form of tables,pointing out that the distribution of the first Chinese speeches has changed from scattered to concentrated,from superficial to deep,and contains a profound humanistic spirit.On the basis of clarifying the distribution of literary texts,teachers can conform to the order of students’ cognitive development,and can better integrate new curriculum standards and unit objectives for teaching design.The second chapter is a teaching survey of deep learning classical Chinese.The survey method is divided into student questionnaires and teacher interviews,and the survey targets are some 7~9th grade teachers and students in junior high schools.According to the analysis of dimensions,to understand the current learning status of students and teachers’ understanding of Chinese and Chinese teaching,it is learned that there are problems of poor student autonomy,single teaching design and lack of core literacy in the current Chinese teaching.The main reasons for the analysis of the problems are that the classical Chinese is difficult to understand,some students have insufficient interest in learning,teachers’ teaching goals and evaluations are vague,and teaching strategies are single.The third chapter is the necessity,feasibility analysis and significance of the concept of deep learning in the initial Chinese of speech.Deep learning classical Chinese is proposed in response to the teaching status of shallow learning classical Chinese,and contains deep learning and deep learning methods of content,aiming to enable students to master the correct learning methods,explore the deep value contained in classical Chinese under the guidance of teachers,and improve students’ core literacy in Chinese.According to the "Compulsory Education Language Curriculum Standards(2022 Edition)" and the Bloom Classification of Education Goals(Revised Edition),the necessity and feasibility are analyzed,and the significance of deep learning applied to the teaching of Chinese in junior Chinese is analyzed from the four core literacies of junior middle school language.The fourth chapter is the teaching strategy of deep learning in speech and literature for beginner Chinese s.This chapter mainly puts forward the teaching strategies of deep learning from three aspects: core literacy,teaching preparation and teaching process.First,the deep penetration of core literacy requires teachers and students to clarify the value of learning classical Chinese,cultivate students’ thinking ability and promote students’ aesthetic creation.Secondly,the deep analysis of teaching preparation,covering in-depth analysis of course standards,learning situations,texts and unit objectives.Finally,the in-depth integration of the teaching process is divided into setting teaching objectives,effectively setting learning task groups and setting effective evaluation methods.The fifth chapter is a reflection on the design of Chinese language teaching from the perspective of "deep learning".Taking the "Night Tour of Jichengtian Temple" taught by teacher Wang Songzhou as an example to analyze the application of deep learning in teaching,the author designs a case of Chinese teaching based on the concept of deep learning based on the analysis of the first four chapters and the case analysis of famous teachers’ teaching,and takes the "Teacher Table" as an example to design a case of Chinese teaching based on the concept of deep learning,and analyzes and summarizes. |