The Design And Implementation Of Personalized Learning System

With the rapid development of computer, network and educational technology,people’s study is not restricted by time and space constraints any more. More and moreteaching systems make knowledge content presented in a variety of forms to thestudents. Through the network, students can reach more deep understanding of the learningcontent. But there are still problems, the most important is that these systems concentrateon their own, did not consider individual needs and habits of students provide learningservices. It causes the decline of the study interest and the learning effect is not obvious.Personalized service of network learning is a solution for this contradiction.Establishing personalized e-learning system can provide learning content for learners tomeet their individual purpose, can effectively increase the use of educationalinformation resources. At the same time, implementing personalized network learning inthe real sense can fully meet the teaching requirements, of teaching students inaccordance with their aptitude. It can improves students’ learning initiative andenthusiasm, to ensure the quality of learning.This paper first analyzes the personalized learning background and then introducesthe related theory and technology of data mining. We take "C#program design" course asan example and use the method of object oriented software engineering to implementfunctional analysis and overall design. At last, a personalized learning system gets intopractice. We also study and explore the research of the Web based personalized learningsystem. According to the correlation among keywords and personal interest, the system canrecommend study topics and resources for different students of different interestof learning and in different learning stages.