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

摘要

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.