Research On The Design And Application Of Junior High School English Smart Classroom Teaching Based On Deep Learning

The wave of information technology in education is sweeping in,providing new opportunities and challenges for cultivating new types of talent.Cultivating innovative talent is a top priority,and modernising education is an indispensable driver for transforming teaching and learning.As a product of the smart teaching era,the smart classroom offers unlimited possibilities and potential for the development of teaching and learning,and is gradually gaining popularity.In the context of Education Informatization 2.0,how can we cultivate students’ innovative thinking and creative abilities,stimulate their intrinsic motivation for self-learning,and thus improve their deep learning ability,has become an important direction for exploration in teaching practice.Therefore,this study applies deep learning and learning theories related to smart classroom to improve the teaching and learning outcomes.The main research methods adopted in this study are literature analysis,survey method and experimental research method.The study consists of three main stages:firstly,we need to analyse the theory which firstly analyses the literature of deep learning,summarises and summarises the meaning,characteristics and implementation models of deep learning and smart classroom,and analyses the contents of constructivist theory,humanistic theory and blended teaching theory and their implications for this study.Secondly,the investigation and design phase.Through a survey of teachers and students,it is found that the junior high school smart classroom has problems such as low utilisation of the smart teaching environment and teachers’ lack of guidance on the smart classroom model;thus,the junior high school English smart classroom teaching process model based on deep learning theory and smart classroom teaching theory and the survey status is designed.Third,the practice and evaluation stage.The experimental class was selected to implement the deep learning-based smart classroom teaching model in a Year 7 smart classroom environment in Secondary School X.Finally,the pre-post student performance comparison,the pre-post level comparison of the deep learning level questionnaire and the teaching process interview were used to verify and evaluate the effectiveness of the practice,and to further summarise,reflect and improve the study.The results of this study show that the teaching model can effectively promote students’deep learning in both the personal and interpersonal domains in junior high school English teaching compared to traditional classroom teaching,thus verifying the feasibility and applicability of this study’s teaching design in the smart classroom model.