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The Design And Implementation Of Data Structure MOOC System

Posted on:2018-07-12Degree:MasterType:Thesis
Country:ChinaCandidate:L F CaoFull Text:PDF
GTID:2347330533462721Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
With the rapid development of network technology,the online course has made great achievements both at home and abroad,and a number of excellent network course resources have been built.In addition,as a new form of online course,MOOC has caused great changes in the field of education,but in the actual operation,the implementation of the network course is still facing a lot of problems.The problems,the low rate of resource update,improper resource management,passive learners,high course dropout rates,lack of personalized service and so on,have become the bottleneck of sustainable online course development,which leads to the phenomenon that there is only the teacher's "teaching" and a serious lack of students "learning" in a number of courses.Based on the Data Structure Course,this paper designs and implements the Data Structure MOOC system.First,with reference to the operation mode of MOOC course,the learner-centered of Data Structure MOOC system operation mode is designed.In the process of students' learning and teachers' teaching,the interaction between teachers and students is the internal driving force of the system,and the curriculum resources are the basis of the interaction between the two.Therefore,the study of learners and the construction of resources are closely related.After the full analysis of the curriculum mode,according to the traditional LTSA,this paper makes some improvements and puts forward the Data structure MOOC learning management framework.It mainly adds the learner resource proxy component,the learner performance proxy,the learner resource database and the three level agent model.The learner resource proxy component is realized by the design of resource evaluation model.The learner performance proxy is realized by the design of the learning behavior assessment model and the three level agent model can improve the timeliness and operability of resource management and learning behavior evaluation.Finally,based on the assessment of learning effect of students,the intelligent test paper is achieved by making use of the genetic algorithm for the purpose of personalized learning and the convergence of the genetic algorithm and the relevance of the test paper are verified by experiments.In short,through the improvement of the learning management system framework,Data Structure MOOC System can achieve the dynamic construction of resources and establish student evaluation mechanism,and the design of intelligent test paper can meet the needs of personalized applications,which has great influence on the development of the network course in the future.
Keywords/Search Tags:MOOC, LTSA, Resource Evaluation, Learning Behavior Evaluation, Genetic Algorithm, Personalized Learning
PDF Full Text Request
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