Design And Implementation Of University Experimental Teaching System Based On Intelligent Experimental Platform

With the continuous reform of the teaching system of colleges and universities,experimental teaching,as the teaching form with the widest participation of students,begins to occupy an increasingly important position in the practical teaching system of colleges and universities.With the background of strengthening the construction of college laboratories and deepening the reform of experimental teaching system,the thesis designs and implements the college experimental teaching system based on intelligent experimental platform from the perspective of comprehensively improving the quality of college experimental teaching,strengthening the internal construction of the school,improving the innovation and practical ability of students and perfecting the teaching quality guarantee system.Firstly,this paper studies the development background of national higher education and university experimental teaching system,analyzes the development status of domestic and foreign university experimental teaching,and summarizes the problems existing in the current university experimental teaching.In response to these problems,the research content and characteristics of this paper are proposed,and the experimental teaching system is divided into two modules,intelligent teaching software and intelligent evaluation model,to be implemented,and the intelligent experimental platform,development environment and key technologies used in the development of the experimental teaching system are introduced.These include Java Swing framework and POI framework related to Java,FTP protocol and NI-VISA related to information transmission,and Elasticsearch,face recognition and BP neural network technologies related to artificial intelligence.Secondly,this paper completes the design and implementation of intelligent teaching software based on Java language and Internet technology on the integrated intelligent experiment platform.In response to the system requirements,the software is divided into the underlying function module,login module and experimental teaching function module for development,which realizes the functions of intelligent face recognition,dynamic update of experimental courses,automatic acquisition of experimental data,automatic generation of experimental reports and intelligent experimental assistant,making the university experimental teaching more diversified and informative.Finally,this paper constructs an intelligent assessment model based on the Python language and the BP neural network technology of machine learning.Through continuous training,learning and optimization of this model,accurate prediction of students' experimental performance is achieved,thus achieving the purpose of dynamic assessment and early intervention of students' learning process.