Design And Implementation Of College Teaching Management System

The new generation of information technology promotes the further development of the application of informatization in colleges and universities.With the further upgrading of the application of campus one-card,teaching and scientific research management informatization,problems such as inconsistent data format,delayed data update and inconvenient application and operation appear in the teaching management system of colleges and universities.In recent years,JavaEE architecture has been widely used on the Web.WeChat public platform based WeChat public number and small program have become the main application force on the mobile terminal,while big data + artificial intelligence analysis and prediction has been widely used in data analysis and intelligent decision-making.Based on this,this paper develops a ne w college teaching management system with JFinal development framework,Spring framework,MyBatis framework,WeChat public platform and machine learning algorithm as the core.This paper uses the accumulation of information application data and business resources,is proposed based on WeChat public,drive the new system of teaching management in colleges and universities,in the full analysis of different faculty members in colleges and universities after business characteristics in the process of teaching,teaching-learning-test as the core to complete the college course management,question bank management,examination management,performance statistics,teaching activity management five major functions.The new teaching management system innovatively uses the WeChat public account interface to complete check-in,message push,leave application,classroom q&a,teaching evaluation,activity impressions and other services.This paper designs a data model,solves the problem of cheating in exams through th e examination strategy of the research group,and solves the problem of low efficiency of manual examination by intelligent examination,so as to achieve reliable statistics of students' scores.Paper to students basic information,learning,life and psych ological information for labels to build student portrait model,by collecting and sorting data,extracting features,abstract data label portrait model to build the students,thus forming the students' academic level,professional ability,mental and phys ical health and so on comprehensive quality of comprehensive and scientific evaluation.Based on the tag collaborative filtering algorithm,this paper adopts Pearson similarity measure to build the recommendation model,and applies it to the process of rec ommending social practice,academic conference and other activities to target students,so as to support college students to choose appropriate activities according to their spare time development plans and interests.In the process of development,this pa per studies the application of WeChat official account push in attendance and notification,designs the test paper formation strategy and automatic review method,and constructs the user portrait model and activity recommendation model,which has certain i nnovation.The research and development results of this paper have been applied to the teaching practice of a university,combined with advanced computer technology and teaching theory to guide the teaching of the university,and achieved good results.The functional modules developed in this paper have been tested through trial operation,and basically meet the needs of new teaching business development in colleges and universities,providing technical support for teachers and students to improve teaching and learning efficiency.