Data-driven Matrix Teaching Assistant System Based On Spring And Vue

With the advent and development of the Internet era,it provides fertile ground for new technologies such as big data,cloud computing and artificial intelligence,and also brings new changes and impetus to all walks of life.Education,as the cornerstone of national rejuvenation and social progress,has always been a priority and key development industry in China.For a long time,the outstanding contradiction facing education in our country is that people’s urgent demand for high-quality personalized education service and the supply of high-quality education resources are seriously inadequate,and the exploration of the innovation and new model of personalized education service on the supply side of educational resources is an important subject facing the current educational reform and development.In this thesis,the data-driven personalized teaching aid system with support matrix auto-inference and logical animation is set up,which mainly accomplishes the following work:(1)Facing the confusion of various matrix knowledge inventory in the logical architecture,a set of matrix knowledge index is established from scratch,and the matrix knowledge base is constructed according to the basic concepts of matrix and the basic operation rules for quick retrieval.(2)Using the JS language,the design matrix automatically solves the problem module.Reference to the design of the sub-control system,the rules grouped,traversing the rules in turn,when the conditions are met,call the math.js calculation engine,constantly check whether to draw conclusions,and the existing network of various matrix problems as a sample,by comparing the standard answer manual test answers are correct,incorrect point manual positioning questions,the automatic inference and understanding of the function of continuous improvement,improve the accuracy of the solution.(3)In view of the characteristics of data multi-source and highly heterogeneous in the current educational data,with teaching subject and educational resources as the center,the quantitative technology of teaching results for groups and individuals is studied,and the multi-source data sources of teaching subject and educational resources are cleaned,classified and effectively integrated to provide support for personalized auxiliary teaching platform.And make full use of the existing data,through ECharts call My SQL data to achieve all kinds of data visualization and feedback front-end page,convenient for teachers more targeted preparation,tutoring students,to achieve personalized teaching.(4)On the basis of the automated matrix problem solving system,we can break the reform of the original teaching methods and the innovation of learning methods by building a perfect data-driven personalized teaching support system,completing modules such as login/registration,intelligent problem solving,examination paper center,user management,volume problem management,performance analysis,personal center,etc.Finally,it is proved that the teaching aid system will be intelligent of traditional teaching activities teaching tools,make the complex drawing process simple,reduce the cost of students’ study time,construct the intelligent teaching application,establish the "convenient,efficient and intelligent" geometric drawing process,reduce the complexity of the teaching process,facilitate the students’ observation and understanding,and promote the application and development of artificial intelligence in mathematics education.