Utilization of Bio-Signals to Understand the Physiological States of e-Learners and Improve the Learning Contents
Utilization of Bio-Signals to Understand the Physiological States of e-Learners and Improve the Learning Contents
复制标题
利用生物信号了解电子学习者的生理状态并改善学习内容
DOI：
--
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Y. Fukumura
中科院分区：
文献类型：
--
作者：
C. M. A. Irfan;S. Nomura;Takaoi Yamagishi;Yoshimasa Kurosawa;K. Yajima;Katsuko T. Nakahira;Nobuyuki Ogawa;Y. Fukumura
本文提出了一个新的维度，在电子学习过程中收集和分析生理数据在现实世界的电子学习会话。两种不同的内容材料，即互动（IM）和非互动（N-IM），被用来确定电子学习者的生理状态。心电图（ECG）和皮肤电导水平（SCL）连续记录，而学习者经历IM和N-IM各约25分钟。收集了18名学生的数据进行分析。结果IM组与N-IM组SCL有显著性差异（P <0.01），而其他指标如心率及其变异性、皮肤电反应（SCR）无显著性差异。本研究提出了一种新的途径，在了解网络学习者的生理状态，就不同的网络学习材料，本研究的结果表明，在不同的学习材料的背景下，生理状态有明显的区别。
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.
自然的选择性关注：定向和情感。
影响因子：
3.7
作者：
Bradley MM
通讯作者：
Bradley MM
影响因子：
--
作者：
POMERANZ, B;MACAULAY, RJB;BENSON, H
通讯作者：
BENSON, H