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

Research output: Contribution to journalArticlepeer-review

Abstract

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 Noninteractive (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.

Original languageEnglish
Pages (from-to)1235-1242
Number of pages8
JournalIEICE Transactions on Information and Systems
VolumeE94.D
Issue number6
DOIs
Publication statusPublished - 1 Jun 2011

Keywords

  • e-learning
  • ECG
  • heart rate variability
  • skin conductance level
  • skin conductance response

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