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Brain wave and user profile based learning content type recom-mendation in interactive e-learning environment

Authors
Jung, Kyung SukChoi, Yong Suk
Issue Date
Jul-2012
Publisher
Science and Engineering Research Support Society
Keywords
Brain wave; e-learning; Profile; Recommendation
Citation
International Journal of Smart Home, v.6, no.3, pp.33 - 40
Indexed
SCOPUS
Journal Title
International Journal of Smart Home
Volume
6
Number
3
Start Page
33
End Page
40
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/165104
ISSN
1975-4094
Abstract
To date, most e-learning systems have not reflected emotion of users effectively as against off-line learning (system) that has sufficiently considered it. They might cause several problems hindering e-learning from effectiveness. Overcoming this weakness, we introduce a methodology that measures user's brain wave and recommends learning content to user based on it. In this paper, we assume that a person would have similar tendency with some-one whose brain wave patterns are like his, and use it for recommendation of learning content type. As a technique for our experiment, we use kNN-Recommendation, learning content type recommendation system, based on brain wave data that appears in studying. Our system can solve cold-start problem that occurs in typical recommendation system and we additionally propose harmony value for better accuracy of recommendation that is calculated with recommended values from preceding our profile based recommendation system. We check advanced performance using several experiments.
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COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
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