EEG: a way to explore learner's affect in pervasive learning systems

Authors:
Jizheng Wan;Bin Hu;Xiaowei Li
Affiliations:
,Department of Computing, Birmingham City University, Birmingham, United Kingdom;,Department of Computing, Birmingham City University, Birmingham, United Kingdom;School of Information Science and Engineering, Lanzhou University, Lanzhou, China
Venue:
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
Year:
2010

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Abstract

Although scientists and researchers have achieved fruitful outcomes in exploring the ways of detecting and understanding learners affect in pervasive learning systems, it sounds still necessary to deepen the recognition of learners affect in learning procedure with innovative methodologies Our research focused on using Electroencephalography (EEG) approach to explore learner's affect We analysed the EEG data using different signal processing algorithms and a real time EEG feedback based prototype was implemented to evaluate our findings The result of experiment was encouraging and further discussion was also included in this paper.