Art

J-GLOBAL ID：202002244651499062   Reference number：20A1603681

Investigation on e-Learning Status Estimation for New Learners - Classifier Selection on Representative Sample Selection

新しい学習者のためのeラーニング状態推定に関する調査-代表的なサンプル選択に関する分類子選択

Author (5)： YU Siyang (Academic Center for Computing and Media Studies, Kyoto University) ,  KONDO Kazuaki (Academic Center for Computing and Media Studies, Kyoto University) ,  NAKAMURA Yuichi (Academic Center for Computing and Media Studies, Kyoto University) ,  NAKAJIMA Takayuki (Graduate School of Human and Environmental Studies, Kyoto University) ,  DANTSUJI Masatake (Academic Center for Computing and Media Studies, Kyoto University)
Material： IEICE Transactions on Information and Systems (Web)  (IEICE Trans Inf Syst (Web))
Volume： E103.D  Issue： 4  Page： 905-909(J-STAGE)  Publication year： 2020 
JST Material Number： U0469A  ISSN： 1745-1361  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *e-Learning ,  *state estimation ,  individual specificity ,  Learning ,  visual sense ,  verification ,  classification ,  individual difference
Semi thesaurus term： ground truth ,  learner ,  classifier

Author keywords (4)： e-Learning status estimation ,  visual sensing ,  interpersonal differences ,  adaptation to new learner

JST classification (1)： Artificial intelligence  (JE08000Z)

Reference (6)：

• [1] N.J. Butko, G. Theocharous, M. Philipose, and J.R. Movellan, “Automated facial affect analysis for one-on-one tutoring applications,” 2011 IEEE Int. Conf. Automatic Face & Gesture Recognition and Workshops (FG 2011), pp.382-387, IEEE, 2011. 10.1109/FG.2011.5771430
• [2] S.K. D'mello, S.D. Craig, A. Witherspoon, B. Mcdaniel, and A. Graesser, “Automatic detection of learner's affect from conversational cues,” User modeling and user-adapted interaction, vol.18, no.1-2, pp.45-80, Feb. 2008. 10.1007/s11257-007-9037-6
• [3] L. Shen, M. Wang, and R. Shen, “Affective e-learning: Using “emotional” data to improve learning in pervasive learning environment,” Educational Technology & Society, vol.12, no.2, pp.176-189, 2009.
• [4] B. Woolf, W. Burleson, I. Arroyo, T. Dragon, D. Cooper, and R. Picard, “Affect-aware tutors: recognising and responding to student affect,” Int. J. Learning Technology, vol.4, no.3-4, pp.129-164, 2009. 10.1504/ijlt.2009.028804
• [5] S. Yu, K. Kondo, Y. Nakamura, T. Nakajima, and M. Dantsuji, “Learning state recognition in self-paced e-learning,” IEICE Trans. Inf. & Syst., vol.100, no.2, pp.340-349, 2017. 10.1587/transinf.2016EDP7144

Terms in the title (6)： 学習 ,  eラーニング ,  状態推定 ,  調査 ,  サンプル ,  分類子