The Study And Practice Of Teaching Design Of Elementary School Chinese Unit Directed To Deep Learning

In the information age,the knowledge capacity increases exponentially,and the update iteration speed is extremely fast.Therefore,education needs to cultivate talents to meet the needs of social development.Under the new curriculum concept,the Chinese classroom is becoming more and more open,but there are also teaching problems that emphasize knowledge over practice,emphasize textbooks over students,and emphasize single lesson over unit.Based on the practice of language,this study takes the humanistic theme as the context and the Chinese elements as the starting point.From the perspective of unit teaching as a whole,it studies the design and practice of unit teaching on how to promote the deep learning of primary school students' Chinese.This paper firstly discusses the correlation between Chinese unit teaching and deep learning in primary schools,and puts forward the design strategy of Chinese unit teaching in primary schools.Then through analyzing the characteristics of the primary school language teaching material compile for universal use version layout and public unit teaching lesson case,learn from unit theme refining,units the establishment of the learning objectives,learning evaluation of design and the arrangement of unit of learning activity four key elements to explore how to promote students deep learning in the form of unit teaching.Then,taking unit 5 of the second volume of the unified edition of primary school Chinese textbook for the fourth grade as an example,this unit is designed as a whole by using the research results and presented as a unit theme guide to create a learning situation.Pay attention to the unit lead,clear learning objectives;Focus on the tour sequence,the overall perception of the text;Focus on language expression to enrich learning experience;Practical transfer and application to realize the five steps of deep learning.Finally,part of the teaching design is implemented to present the situation of deep learning according to the students' work.