Deep Learning Research On High School Ideological And Political Courses In Smart Classroom Environment

Core literacy is the necessary ability and important character of talents in the 21 st century,and high school is a critical period for literacy cultivation and ability development.The "Standards for Ideological and Political Courses in Ordinary High Schools" puts forward a series of requirements for the teaching of ideological and political courses in high schools:On the basis of students’ mastery of subject knowledge,teaching should pay attention to students’ experience,speculation and performance in the learning process,focus on value guidance,ability development and knowledge construction,and promote students’ learning from shallow to deep.Deep learning is a kind of learning that promotes the development of students’ higher-order thinking,emphasizes critical understanding,emphasizes content integration,and promotes knowledge construction and transfer,and its essence is the core literacy needed to cultivate talents in the 21 st century.Deep learning provides new ideas and possibilities for the further optimization of high school ideological and political teaching.Therefore,in today’s comprehensive deepening of curriculum reform,under the trend of deep integration of information technology and teaching,the integration of deep learning theory into high school ideological and political courses and the promotion of students’ deep learning have become a hot spot in education research based on the exploration of smart classroom environment.This study takes this as an opportunity and adopts a new teaching model based on the smart classroom environment to explore the application of deep learning theory in the teaching design of high school ideological and political courses.The aim is to promote the occurrence of deep learning outcomes for high school students,thereby improving their abilities in autonomous learning,team cooperation,problem solving,transfer application,critical thinking,and other deep learning.This research is mainly carried out from the following aspects:First,conduct a pre-analysis.After reading a large number of literature and national policy documents,this paper comprehensively and deeply discusses the research status of smart classroom and deep learning at home and abroad,compares and analyzes it with traditional classroom and shallow learning,clarifies the concept and characteristics of deep learning and smart classroom,and deeply excavates the relevant teaching theoretical foundation,in order to bring enlightenment to the construction of a teaching mode that promotes deep learning in high school ideological and political courses in a smart classroom environment.Second,design teaching models.Based on previous research,this article studies the current situation of deep learning in high school ideological and political courses in a smart classroom environment.Drawing on the road map and model map of deep learning proposed by scholars,a teaching model suitable for the learning situation is designed,which promotes deep learning in high school ideological and political courses in a smart classroom environment.Finally,the application of the teaching model and the analysis of the practical effect.According to the questionnaire analysis and preliminary survey,the control class and the experimental class were selected,and the designed teaching mode was applied to the experimental research of high school ideological and political courses,and the effect of deep learning in high school ideological and political courses in the smart classroom environment was tested by combining grade analysis,questionnaire analysis and interview analysis.It is found that deep learning in high school ideological and political courses in the smart classroom environment has realized intelligent teaching and learning.It realizes the organic unity of effective teaching of teachers and personalized learning of students;It achieves the purpose of promoting students’ deep learning: on the one hand,it is not difficult to find that the analysis from the perspective of deep learning motivation changes students’ internal driving force and promotes their learning autonomy;On the other hand,from the perspective of deep learning input,students improved their ability to explore solutions and apply analysis.Third,from the perspective of deep learning results,students improved their awareness and ability of deep learning in high school ideological and political courses.The study also provides practical reference experience for teaching other courses.