Design Of Intelligent Experiment System For Microprocessor Online Simulation

The emergence of COVID-19 in 2019 brought challenges to traditional education.Many offline courses had to be completed online,making online learning increasingly an important part of education.The course of Microprocessor Design is a professional basic experimental course for engineering majors such as electronics and information,and is one of the important experiments in the course of Microcomputer Principle for information majors.In the traditional teaching methods,students need to go to the laboratory to carry out experiments,and the teachers check and accept them manually,which is inefficient.Therefore,in this paper we design and implement the microprocessor online simulation intelligent experiment system,which aims to provide an online simulation platform for the experiment of Microprocessor Design.The platform can automatically evaluate the experimental results to reduce the pressure of teachers’ acceptance inspection,and detect the similarity of simulation code to ensure that students complete the experiment independently.At the same time,the system collects the data of students’ online learning and experimental behavior.Combined with the classification analysis technology of online learning behavior analysis technology,the system calls the classification model at the end of the experiment to classify and predict the students’ good learning effect(the course score is more than 70 points)and poor learning effect(the course score is less than 70 points),which provides a basis for teachers to summarize teaching achievements and make new teaching arrangements.According to the online learning behavior data collected by the system,this paper also carries out correlation analysis and cluster analysis,extracts various learning behavior indicators significantly related to the learning effect,such as code similarity,start experiment time interval,etc.This paper also analyzes the learning behavior preferences of different groups of students,and finds that the students who carry out the experiment at noon have poor learning effect and the students with good grades have polarization in learning preferences.After the development and testing,the system meets the requirements of the beginning of the system design.The system runs stably in the autumn semester of 2020,and realizes online simulation teaching and learning behavior analysis of the course Microprocessor Design experiment.