Research On Precision Teaching Intervention Model And Application Based On Big Data

Precision and personalization have always been the ideals and demands of education.The large-scale education of the current class teaching system makes education easy to popularize,and greatly promotes the development and progress of science and technology,but limited by factors such as teaching time and teaching energy,it is difficult to pay enough attention to the individual needs of students and provide suitable for each students’ own education and teaching services.How to take into account individualization in the context of educational scale has become a common concern of educational researchers and practitioners.With the rapid development of information technology and the in-depth advancement of educational informatization,the educational big data analysis system has been gradually established.With the support of educational big data analysis,it is possible to use modern educational technology to realize the organic combination of large-scale education and personalized training.Precision teaching based on big data finds out the laws of teaching activities and cognitive behaviors through the "induction" of a large amount of data,further optimizes and improves the teaching process,and provides learners with more refined services and targeted help.The technical means of mathematical modeling and big data analysis are used to describe the individual characteristics of learners and give targeted guidance,so that teachers can give targeted guidance in the teaching process,and students can learn autonomously with clear goals in the learning process.At present,researchers have carried out a lot of work on precision teaching based on big data,and achieved fruitful results,but there are still some problems to be solved.In view of this,this paper constructs a general framework of precision teaching intervention based on big data,including two parts,the theoretical model and the application framework,and then studies the two parts of the theoretical model,namely the prediction of learning effect and the decision-making of teaching intervention,and finally presents the specific application of the general framework through two empirical studies.The specific work is as follows:First,in view of the lack of general models and methods and specific practical support for the current precision teaching intervention based on big data,a general framework for precision teaching intervention based on big data is constructed.On the basis of summarizing the classic theories and the latest literature in the field of precision teaching,the core problem of precision teaching intervention based on big data is extracted,and then it is transformed into an optimization problem,and a theoretical framework of precision teaching intervention based on big data is constructed to make the problem of precision teaching intervention can be calculated.At the same time,the application framework of precision teaching intervention based on big data is constructed,and the specific steps to carry out precision teaching intervention in teaching practice are given.The general framework of precision teaching intervention based on big data provides a theoretical model and practical approach for the realization of intelligent precision teaching intervention.Second,a quantile trace regression model is proposed,and a learning effect prediction model based on quantile trace regression is constructed on this basis.Learning effect prediction is the guarantee for carrying out precise teaching intervention.In view of the current problem of insufficient dynamics of precise teaching intervention based on big data,this paper realizes the dynamic prediction of learning effect based on the dynamic behavior and performance data of students in the teaching process.Perform image processing on student behavior and performance data,and apply quantile trace regression model to capture dynamic information in student behavior and performance data and use it to predict learning outcomes.The model combines the advantages of quantiles to describe different relationship between learning outcomes and behavioral patterns.Third,the reinforcement learning algorithm is introduced into the precise teaching intervention decision-making,and a teaching intervention decision-making model based on reinforcement learning is constructed.Teaching intervention decision-making is the key to carrying out precision teaching intervention.In view of the current problem of insufficient dynamics of precision teaching intervention based on big data,from the perspective of multi-stage decision-making,reinforcement learning algorithm is applied to solve the dynamic decision-making problem of precision teaching intervention.Under the goal of maximizing the learning effect,the precise teaching intervention decision-making can calculate the appropriate targeted teaching intervention according to the learning status and characteristics of each student at different stages of the teaching process,so as to realize intelligent and dynamic precision teaching intervention.Fourth,two empirical studies of precision teaching intervention based on big data were carried out in high school mathematics teaching and college linear algebra teaching.In the two different educational contexts of high school mathematics and college linear algebra,the application of the constructed general framework of precision teaching intervention based on big data is used to carry out precision teaching intervention,in order to verify the applicability of the general framework in different situations.The empirical research results show that the precision teaching intervention framework constructed in this paper has achieved good results in both situations and has strong applicability.