Research On The Application Of Big Data Products In Teaching Quality Management

The field of education has always been in pursuit of maximizing the effectiveness of teaching and improving the teaching effect.Specifically for the field of basic education,teachers want to improve the effectiveness of teaching must accurately grasp the problems of each student in the learning process,and then make students get targeted feedback.It is precisely because of the great value of diagnosing students' learning problems that relevant research has always attracted much attention for a long time.At the same time,in recent years,with the rapid development of big data and artificial intelligence,new technology has also promoted the optimization of education and teaching process,so that teachers in the basic education process can provide targeted personalized training for students on the basis of large-scale education.Education big data and practical teaching are deeply integrated.However,only big data and artificial intelligence as external technical support is not enough,internal improvement of teachers' teaching literacy,improve teachers' teaching concept for improving students' core literacy is also of great value.On this basis,many schools use teaching big data to improve the effectiveness of teaching.In this context,this paper takes the actual case of Jiangsu T Middle School's "Extreme Course Big Data" learning situation diagnosis platform as a case study,comprehensively uses literature analysis,case study,quasi-experimental method and interview method to describe the application of Extreme Course Big Data in T Middle School of Jiangsu Province,analyzes its application in teaching quality management.Accordingly,the corresponding solutions are put forward.With a view to better use of learning diagnosis system to help improve the quality of education and teaching,for the development of China's education informationization and accelerate the modernization of education also has a certain significance.In this paper,the use of existing research on the extreme course big data related research are summarized,the theoretical support of the extreme course big data system induction.And then through the experimental method of students in the use of extreme class big data under the premise of the change of academic performance data analysis.At the same time,in-depth interviews with teachers and students were conducted to investigate the use of big data and existing problems.This paper analyzes the problems existing in the application process of extreme course big data,and puts forward some suggestions.There are still some problems in the process of applying the system,such as the lack of awareness of precise teaching in the whole school,the low subjective initiative of teachers and students;The quality of system application needs to be excavated,and there is a situation that the application guarantees "quantity" but not "quality";The operation of the dispute system itself is not smooth,and its functions need to be improved.In order to improve the utilization efficiency of the platform in teaching quality management,the author puts forward the following two suggestions from different angles of users(including school administrators,teachers,students)and the platform itself: students should actively review and develop personalized learning habits;Platform functions are constantly improved to achieve humanized quality improvement.This paper argues that the instant feedback function of learning situation diagnosis platform can help teachers teach students in accordance with their aptitude,achieve educational equity,and then improve teaching efficiency and quality.