Presentation	2012-03-10 Estimation of Subjective Difficulty of an e-Learning Learner by using Eye Movement Measurements Ayuko SHIGETA, Kazuhiko HAMAMOTO, Kiyoshi Nosu,
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Abstract(in English)	This paper proposes an estimation method of subjective difficulty of WEB based English listening tests from learners' eye movement characteristic parameters. We adopt estimation method analysis of eye movements using a Supported Vector Machine (SVM) method. The two median of "easy" and "difficult" differ significantly using the Mann-Whitney's U-test. It is shown that eye movement characteristics were different between "ease" and "difficulty". The coincidence rate of "easy" was 85.7% and "difficulty" was 86.8%.
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Keyword(in English)	English Listening Test / Subjective Difficulty / SVM
Paper #	ET2011-114
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Committee	ET
Conference Date	2012/3/3(1days)
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Paper Information
Registration To	Educational Technology (ET)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Estimation of Subjective Difficulty of an e-Learning Learner by using Eye Movement Measurements
Sub Title (in English)
Keyword(1)	English Listening Test
Keyword(2)	Subjective Difficulty
Keyword(3)	SVM
1st Author's Name	Ayuko SHIGETA
1st Author's Affiliation	Tokai University()
2nd Author's Name	Kazuhiko HAMAMOTO
2nd Author's Affiliation	Tokai University
3rd Author's Name	Kiyoshi Nosu
3rd Author's Affiliation	Tokai University
Date	2012-03-10
Paper #	ET2011-114
Volume (vol)	vol.111
Number (no)	473
Page	pp.pp.-
#Pages	6
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