Research On Design Strategy Of Group Text Reading Based On Deep Learning

Deep learning is an important way to implement the core literacy.This way of learning takes promoting students' learning to solve problems in the real world as the idea,and pursues the idea of promoting the transfer and application of knowledge.It is of great significance to improve the shallow learning problems faced by group reading.The main reason for the innovation of group reading design strategy is that deep learning is an important direction of basic education teaching reform,and deep learning can provide an important method for the innovation of group reading teaching design.The purpose of this study is to provide theoretical guidance for the transformation of group reading teaching concept,and to provide feasible ideas for teachers to carry out group reading practice.The focus of the study is to analyze the group reading concept and corresponding strategies based on deep learning,and the difficulty is to explore the group reading design strategy based on deep learning.Group reading design based on deep learning aims to innovate the design of group reading through the theory of deep learning,so that the learning process of group reading is not limited to the formal multi text learning,but to stimulate students' high-level thinking through the integrated text inquiry process,experience the process of knowledge connection,inquiry and discovery,and cultivate students' reading literacy.The first part is the introduction,which focuses on the connotation,characteristics and implementation strategies of deep learning and group reading.Combined with the theoretical basis of deep learning and constructivism learning concept,it expounds the reasons,research methods and main significance of the research.The second part is the necessity of deep learning as a group reading design strategy,which is reflected as follows: first,deep learning as an important path to cultivate core literacy,based on deep learning to carry out group reading design,can implement the cultivation of literacy through group reading.Second,deep learning can provide theoretical guidance for the implementation of group reading and promote the innovation of group reading concept.Through the guidance of deep learning,we should establish an open topic view,a structured text view,an inquiry process view and an evaluation view based on the use of knowledge.Third,deep learning can reveal the shallow learning problems existing in the current group text reading,which are manifested in the closed topic setting,loose text organization,imparting learning process and paying too much attention to the standardization of evaluation concept.The third part is the design concept of group reading based on deep learning,which helps to integrate deep learning into the learning process of group reading and realize the pursuit and purpose of deep learning.These ideas mainly include open group topic setting,structured group text organization,inquiry based group learning process and knowledge based learning evaluation.The fourth part is the reading design strategies based on deep learning,which makes the learning process of students become the process of deep learning.These strategies mainly include the following contents: choosing the open topic related to students' experience,reorganizing the text structure around the topic,carrying out exploratory task design based on the topic,and using the performance evaluation of knowledge application.The fifth part is the case analysis.Starting from the representativeness and particularity standard of case selection,the case selection is carried out.Through the comparison of 30 class,the research cases are selected.The purpose of the case analysis is to summarize how to effectively implement the group reading design strategy based on deep learning in the classroom.The sixth part is the research reflection,which reviews and summarizes the research and reflects the basic conclusion: The group reading design based on deep learning needs to fully consider how to achieve deep learning.This part puts forward the improvement direction from three aspects of research methods,research ideas and case selection,and thinks that we can promote the in-depth development of the research by expanding research methods,enriching research ideas and selecting more representative cases.