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  • 标题:Evaluating the Attitude of a Student in e-Learning Sessions by Physiological Signals
  • 本地全文:下载
  • 作者:Shusaku Nomura ; Masako Hasegawa-Ohira ; Kuniaki Yajima
  • 期刊名称:International Journal of Computer Information Systems and Industrial Management Applications
  • 印刷版ISSN:2150-7988
  • 电子版ISSN:2150-7988
  • 出版年度:2012
  • 卷号:4
  • 页码:101-108
  • 出版社:Machine Intelligence Research Labs (MIR Labs)
  • 摘要: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.
  • 关键词:e-Learning; Hemodynamics; Blood Pressure; ; Cardiac Output; ; Total Peripheral Resistance ; ; Stress Coping
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