Research On Individual Intelligent Tutoring System Of Primary School Mathematics Based On EGL

With the continuous development of computer technology,and the rapid popularization of information technology applications,the intelligent tutoring system(ITS),which is based on computer information system,plays an increasingly important role in modern information education.In the 1970 s,based on the traditional intelligent teaching system,combined with artificial intelligence,pedagogy,psychology and other disciplines of theoretical research results,people put forward the personalized intelligent teaching system,it emergence of the traditional information technology to change the way,to provide students with a modern educational methods,from the static computer-aided teaching model evolved into a dynamic computer-led curriculum strategy of the new educational theory system.ITS is the new teaching model that separates the relevant teaching content and teaching model.According to the students' learning ability and learning degree,through the intelligent information system analysis and positioning,dynamically generated for the current level of learners learning content and learning strategies;and during the study,through the results of the results of testing to analyze the student's learning status and The reasons for the error,and real-time according to the test results dynamically adjust the learning strategy to provide a more reasonable learning program.This paper is based on the teaching materials of mathematics of Beijing Normal University on the first grade as a system resource base as an example,the theoretical feasibility of the personalized intelligent teaching system designed by the institute is expounded from the actual demand.Secondly,the technical feasibility of the personalized intelligent teaching system based on WEB2.0 technology is analyzed in detail.At the same time,the development model,business model and design scheme of the system are analyzed theoretically.After detailed theoretical analysis,the solution of the system is given.And optimized for specific functions.The use of dynamic and dynamic user interest model based on depth learning algorithm to optimize the system recommended resources,so that students can more quickly and accurately access to high quality,high matching learning resources,so as to improve the efficiency of students to obtain learning efficiency.