An improved Learning Evaluation system based on SVM for E-learning

Abstract

E-learning Learning Evaluation using Principal Component Analysis (PCA) and support vector machine (SVM) is proposed in this paper. In the first step, PCA is employed for dimension reduction and in the second, SVM is employed for classification purpose, resulting in PCA-SVM hybrid model. Experimental results have verified the effectiveness and rationality of the proposed methods.