Evaluating the Attitude of a Student in e-Learning Sessions by Physiological Signals

Authors

  • Shusaku Nomura Top Runner Incubation Center for Academia-Industry Fusion, Nagaoka University of Technology
  • Masako Hasegawa-Ohira Top Runner Incubation Center for Academia-Industry Fusion, Nagaoka University of Technology
  • Kuniaki Yajima Department of Information and Communication Engineering, Sendai National College of Technology
  • Santoso Handri Top Runner Incubation Center for Academia-Industry Fusion, Nagaoka University of Technology
  • Yoshimi Fukumura Department of Management and Information Systems Engineering, Nagaoka University of Technology

Keywords:

e-Learning, Hemodynamics, Blood Pressure, Cardiac Output, Total Peripheral Resistance, Stress Coping

Abstract

In this study, a novel approach towards the evaluation of students in e-learning sessions is regarded; the physiological responses of the students who were engaged in e-learning materials were investigated. Among a full battery of physiological signals, we focused on human hemodynamic activity, which is represented by the blood pressure. The past hemodynamic studies on mental stress showed that the difference in subject’s stress coping style, i.e., active and passive coping, induced different hemodynamic responses. Such a variety of stress coping styles is also anticipated to be prevailing in attendees of e-learning course. In the experiment, the hemodynamic responses of the students who were engaged in the e-learning session were investigated with two considerably contrasting e-learning materials, one is characterized by an interactive material and the other is by non-interactive material. As a developing result, a particular hemodynamic pattern, which is involved in the subject’s active coping, was observed in the interactive condition, and that of passive coping was observed in the non-interactive condition. These results thus led to an idea of evaluation of the “attitude” of attendees of e-learning courses.

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Published

2012-04-01

How to Cite

Shusaku Nomura, Masako Hasegawa-Ohira, Kuniaki Yajima, Santoso Handri, & Yoshimi Fukumura. (2012). Evaluating the Attitude of a Student in e-Learning Sessions by Physiological Signals. International Journal of Computer Information Systems and Industrial Management Applications, 4, 8. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/174

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Section

Original Articles