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Research On Grouping Of MOOC Assignment System Based On Ant Colony Group Algorithm

Posted on:2018-08-21Degree:MasterType:Thesis
Country:ChinaCandidate:X XiaFull Text:PDF
GTID:2347330518459479Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
MOOC(massive open online courses),that is large open network courses,MOOC platform is generally for the global or a specific range of groups,through the MOOC network platform to impart knowledge to students in full swing,and with the rapid development in the global context.The main feature of the platform is the high-quality of teachers and curriculum.However,the MOOC platform also has many problems that can not be ignored,such as differences in students,students' sources,learning backgrounds,differences in learning environment,and so on,these differences will directly lead to students learning effect differences in the MOOC platform.It is an effective measure to promote the quality of students' learning in MOOC environment and improve the overall teaching quality.Through the interaction between students can not only improve the students' understanding of the content of the course,to promote students to learn the effect of the common improvement has a good effect,and to solve the MOOC environment,teachers can not work on the students one by one to change the plight an effective solution.How is the job assignment among students? How do students mutual assessment? One way is to randomly assign two students to each other in two students,but this way may lead to the emergence of less than the ideal of the results of mutual evaluation because of the network environment,the difference between students is too large,and student performance and actual results vary greatly.This paper presents a model based on student background roughly the same situation,that is,the two students each two of the students' academic performance,location,learning environment,etc.are roughly the same.The basic idea of solving the problem is to group all students first,that is,the students with roughly the same background are grouped together,and then the students in the group will be designated by several people.Although this kind of job assignment pattern is flawed,it is still a kind of job assignment pattern which can be used for reference in practical application.In a certain range,this kind of job assignment pattern will make the student's achievement as close as possible to the student's achievement.The article first briefly introduces the research background,and the necessity of the method used.Then,the basic theoretical knowledge and mathematical model of MOOC platform and ant colony clustering algorithm are introduced.The fourth chapter is the focus of this paper.The ant colony clustering algorithm is used to group students,including the problem of student grouping,As well as the feasibility of ant colony clustering algorithm,and the specific grouping and so on.Chapter 5 takes a university as an example,gives a design framework of a light MOOC platform,and the design ideas of the student job evaluation information system.Finally,the conclusions and suggestions are given.In this paper,the distance calculation method of hierarchical multi-valued discrete attribute is given in the process of clustering.In addition,the research on the grouping of students.So that the distance between the discrete values to maintain a high degree of balance,and there is a certain practical significance.
Keywords/Search Tags:MOOC, Ant colony clustering algorithm, Student grouping, Mutual evaluation system
PDF Full Text Request
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