For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Utilization of Bio-Signals to Understand the Physiological States of e-Learners and Improve the Learning Contents
C. M. Althaff IRFAN Shusaku NOMURA Takaoi YAMAGISHI Yoshimasa KUROSAWA Kuniaki YAJIMA Katsuko T. NAKAHIRA Nobuyuki OGAWA Yoshimi FUKUMURA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2011/06/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Educational Technology
e-learning, skin conductance level, skin conductance response, ECG, heart rate variability,
Full Text: PDF>>
This paper presents a new dimension in e-learning by collecting and analyzing physiological data during real-world e-learning sessions. Two different content materials, namely Interactive (IM) and Non-interactive (N-IM), were utilized to determine the physiological state of e-learners. Electrocardiogram (ECG) and Skin Conductance Level (SCL) were recorded continuously while learners experienced IM and N-IM for about 25 minutes each. Data from 18 students were collected for analysis. As a result significant difference between IM and N-IM was observed in SCL (p <.01) meanwhile there were no significance in other indices such as heart rate and its variability, and skin conductance response (SCR). This study suggests a new path in understanding e-learners' physiological state with regard to different e-learning materials; the results of this study suggest a clear distinction in physiological states in the context of different learning materials.