DocumentCode :
2403648
Title :
Evaluation of Student´s Physiological Response Towards E-Learning Courses Material by Using GSR Sensor
Author :
Handri, Santoso ; Yajima, Kuniaki ; Nomura, Shusaku ; Ogawa, Nobuyuki ; Kurosawa, Yoshimasa ; Fukumura, Yoshimi
Author_Institution :
Top-Runner Incubation Center for Acad.-Ind., Fusion, Nagaoka Univ. of Technol., Nagaoka, Japan
fYear :
2010
fDate :
18-20 Aug. 2010
Firstpage :
805
Lastpage :
810
Abstract :
This study aims to evaluate student physiological response towards the e-learning materials. The experiments were conducted by introducing two contracting e-learning materials, i.e., the one is characterized as interactive material and the other is non-interactive one. During the experiment physiological sensor, i.e., galvanic skin response (GSR) sensor was attached to the participant. Furthermore, GSR data were extracted by feature generator, LDA. The purpose of feature extraction is to find preferably small number of features that are particularly distinguishing or informative for the classification process and that are invariant to irrelevant transformations of the data. Finally, several classifiers were performed discriminating student attitude towards e-learning course materials response using GSR sensor data. The results showed that discriminant analysis (DA) and support vector machine (SVM) give high accuracy rate, while the k-nearest neighbor (KNN) give moderate accuracy rate.
Keywords :
biosensors; computer aided instruction; educational courses; feature extraction; interactive systems; pattern classification; physiology; support vector machines; GSR data; GSR sensor data; data transformation; discriminant analysis; e-learning course material; feature extraction; galvanic skin response sensor; interactive material; k-nearest neighbor; physiological sensor; student physiological response; support vector machine; Accuracy; Educational institutions; Electronic learning; Feature extraction; Materials; Skin; Support vector machines; GSR sensor; KNN; LDA; SVM; classification; e-learning; physiological response;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science (ICIS), 2010 IEEE/ACIS 9th International Conference on
Conference_Location :
Yamagata
Print_ISBN :
978-1-4244-8198-9
Type :
conf
DOI :
10.1109/ICIS.2010.92
Filename :
5591037
Link To Document :
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