%0 Journal Article
%T STUDENT ATTITUDE IDENTIFICATION TOWARDS E-LEARNING COURSE BASED ON BIOSENSOR INFORMATION
%A Santoso Handri
%A Shusaku Nomura
%A Kuniaki Yajima
%A Nobuyuki Ogawa
%J International Journal of Cyber Society and Education
%D 2011
%I Academy of Taiwan Information Systems Research
%X Providing attractive and interesting e-learning course materials as well as delivering normal lectures in class are important issues in an e-learning society. Knowing about this issue, first, it is essential to investigate student interest about topics and types of e-learning courses delivered by measuring the students¡® responses. Thus, this study engages in evaluation of students¡® responses initiated by two distinct e-learning materials; one is characterized by interactive material and the other by non-interactive material based on biosignals¡ªi.e., Blood Pressure (BP), Galvanic Skin Response (GSR), and Electrocardiogram (ECG) signals. Use of a multilinear principal component analysis (MPCA) was proposed in this study to extract the representative features of student responses. Finally, the classification was performed by a support vector machine (SVM) to discriminate between responses of students.
%K E-Learning
%K Interactive and Non-Interactive
%K Student Response
%K Biosignal
%U http://www.academic-journals.org/ojs2/index.php/IJCSE/article/view/977