Research On The Path Of Using Big Data To Improve The Teaching Effect Of High School Ideological And Political Courses

With the development of a new generation of information technologies such as "5G" technology,cloud computing,the Internet of Things,the Internet,big data,and artificial intelligence,social informatization has also entered a new stage,the era of big data.Big data is a data set that exceeds the ability of traditional databases to collect information,store data,process and analyze it.It has the characteristics of huge amount,rich types,immediacy and high speed.With the deepening of informatization,big data gradually develops into A technology that can collect,store and correlate huge amounts of data.It can be said that the use of big data is a new type of method,technology and tool to solve the complex problems encountered in daily life and work.Therefore,big data is widely used in various fields,which has a profound impact on social production,people’s life and the development of education.The combination of big data and education can effectively improve the quality of education.With the introduction of the "double reduction" policy,school education needs to reduce the burden and improve the quality.In this context,it is possible to use big data in high school ideological and political courses to improve teaching effects.The application of big data in high school ideological and political courses is of great significance to the optimization of students’ comprehensive quality,teachers’ data literacy,classroom models,and teaching evaluation.In order to better understand the current situation of the use of big data by teachers of high school ideological and political courses,a questionnaire was set up.The questionnaire data shows that there are still some problems in the application of big data by current high school ideological and political teachers,which are embodied in four aspects:lesson preparation,teaching process,after-school tutoring and teaching evaluation:teachers do not use big data enough in lesson preparation;lack of application Big data enhances classroom quality;less use of big data to improve tutoring effect;lack of use of big data to optimize teaching evaluation.Through the understanding of the current situation and the study of relevant literature,the main reasons for the problem are that the conditions for big data lesson preparation are not complete,the requirements for big data teaching have not been met,the after-school tutoring of big data is still immature,and the evaluation system of big data is not yet perfect.In order to make better use of big data to improve the quality of the classroom and promote the development of students’ personality,optimization paths will be proposed for the problems from four aspects:lesson preparation,teaching process,after-school tutoring,and teaching evaluation.These paths will help promote the use of big data in high school.The application in ideological and political courses and improving the teaching effect of ideological and political courses.