Research And Implementation Of Online Teaching System Based On Improved Genetic Algorithm

Online education breaks the traditional learning method and brings a new direction to the new direction to the reform of Chinese college teaching.In order to adapt to the new teaching methods in the Internet age,the North Minzu University began its first online teaching attempt in 2015,it is the first university in Ningxia Hui Autonomous Region to implement online teaching.However,because of the imperfect functions of the existing teaching platform of North Minzu University in the individualization teaching and intellectualized group roll examination,some problems have arisen in the online individuation teaching and the intellectualized group roll examination of North Minzu University.In order to solve the problems existing in the online teaching of North Minzu University and realize the intellectualization of the online teaching system,the main innovation points and research contents of this thesis are as follows:(1)This thesis takes online teaching as the starting point,takes the intelligent group volume problem among them as the research core.According to the characteristics of the test paper question,the thesis making an in-depth study on the attributes of test questions and the evaluation criteria of test papers,comprehensively considers the practical needs of the group volume,establishes the mathematical model of the group volume by making reasonable assumptions about test papers,and completes the research on the construction of the constraints and objective functions of the group volume.(2)Based on the analysis and research the group roll algorithm,aiming at the shortcomings of traditional genetic algorithm such as low success rate of paper composition,deviation in evolution direction,early maturity,and poor local search ability,combined with the characteristics of the paper composition problem and the solution goal of the mathematical model.In this thesis,an improved genetic algorithm(IGA)is proposed.Genetic steps are optimized by reprogramming constraints,and the genetic algorithm is improved by eliminating individual similarity and simulated annealing.Compared with the traditional genetic algorithm(GA),the improved genetic algorithm has been improved in four aspects,namely,the running time,the success rate,the optimum and the average degree of adaptation.(3)According to the deficiency of the existing teaching platform of North Minzu University,this paper designs and encodes the online teaching system based on the improved genetic algorithm.The system is divided into three parts:teaching management module,teaching evaluation module and other functional modules.It can help teachers to provide individualized teaching based on students 'basic conditions,provide students with personalized learning and examination test function for different subjects,achieve the effect of online teaching and examination test,and expect to cooperate with the existing teaching platform of North Minzu University to enrich and improve the online teaching system of North Minzu University.The research and application of the system will add to the intellectual construction of the online teaching of North Minzu University.