A New Personalized Learning Pattern Based on Individual Trend Analysis and Evaluation Algorithm

An interactive personalized learning evaluation environment is introduced, which is based on a new e-learning push and pull pattern. In pull pattern, information snatch and analysis technology are used to excavate the personal learning information. In push pattern, individual trend analysis algorithm is proposed to discover the weaknesses in learning course and make personalized trend evaluation, through decision tree theory the reasonable proposals are provide to users. Experimental results show the effectiveness and accuracy of the proposed evaluation algorithms in this paper