Applied Research of the Decision Tree Method in Personalized Distance Education System

Jian Wei Wang; Xin Wang; Lan Bo Zhao; Yu Hong Wang; Hui Jun Li

doi:10.4028/www.scientific.net/AMR.756-759.881

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Applied Research of the Decision Tree Method in...

Applied Research of the Decision Tree Method in Personalized Distance Education System

Abstract:

Modern Distance Education is a new type of teaching style which generated with the development of computer network technology and multimedia technology. Distance Education always aims at individualized education and personalized teaching-learning service. But how to discover the valuable discipline from a large amount of learners information and achieve personalized distance education is an issue for educational researchers to resolve urgently. This thesis discusses how to apply the decision tree method of data mining technology in distance education system to classify learners in order to achieve individualized teaching for different learners.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

881-884

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.881

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Online since:

September 2013

Authors:

Jian Wei Wang, Xin Wang, Lan Bo Zhao, Yu Hong Wang, Hui Jun Li

Keywords:

Data Mining (DM), Decision Tree, Distance Education

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