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Integrated Learning Technology Intelligent Tutoring System In Research And Application

Posted on:2011-02-02Degree:MasterType:Thesis
Country:ChinaCandidate:T QiuFull Text:PDF
GTID:2208360302470036Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Modern distance education is a teaching method that separate students and teachers, adopt Specific transmission system and spread media to teach, through this way, there are all kinds of method to transport information, and the teaching field and pattern are flexible. The advantages of modern distance education lie in it can break through the time and space limitations, provide more chance to study, expand the scale of teaching, improve the quality of teaching, and reduce the cost of teaching. Modern distance education have more intelligence is the result of the development of modern technology. With the improving requirement of intelligent of modern distance education system, how to apply artificial intelligence, data mining and other technology in now existing distance learning system and make it become a intellgent teaching system become a key point to the system's development.This article through use ensemble learning,data minging and other technologies,base on now existing classification algorithm, use the ideology of ensemble learning,raise a new algorithm which combine the two advanced alforithm. Under the premise of the classification accuracy, improve the algorithm's efficiency.The main work of this aticle is:(1)Do some research in classification algorithm of data mining, artificial intelligence, and apply these technologies in distance learning system, make the system has intelligence, make learner convenient to learn.(2)Raise a new based on ensemble learning technology classification algorithm BODK.BODK algorithm use now developed ensemble learning technology,ensembling use several classification algorithm to deal with now existing in intelligent teaching system data.The ideology of BODK algorithm is ensembly use decision tree algorithm and KNN algorithm,it use multi-branched decision tree to classify node which formed from learner's property set,and use KNN algorithm to classsify the nodes that decision tree algorithm can not calssify.(3)Apply BODK algorithm in intelligent teaching system.The real application indicate.the system can intelligently give fit learner feature's teaching program according to learner's property set,and the program can improve learner's efficiency.Throuth the problem in learner's work and the clustering of method queue to solve the problem,system can help the teacher to design more efficient courses.With more and more learner use online education resourse system, the data about learner visit and learner's activity is become more. Ensemble learning technology was applied is intelligent teaching system, mining useful knowledge, make worker of distance learning can use them to help the learner.
Keywords/Search Tags:ensemble learning technology, intelligent teaching system, BODK algorithm
PDF Full Text Request
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