Multimodal Analytics to Understand Self-Regulation Process of Cognitive and Behavioral Strategies in Real-World Learning
Author:
Affiliation:
1. School of Interdisciplinary Science and Innovation, Kyushu University
2. Department of Informatics, Graduate School of Integrated Science and Technology, Shizuoka University
3. Faculty of Science and Engineering, Kindai University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E103.D/5/E103.D_2018EDP7364/_pdf
Reference32 articles.
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2. [2] J.-L. Berger and S.A. Karabenick, “Motivation and students' use of learning strategies: Evidence of unidirectional effects in mathematics classrooms,” Learning and Instruction, vol.21, no.3, pp.416-428, June 2011. 10.1016/j.learninstruc.2010.06.002
3. [3] L.K. Fazio, M. DeWolf, and R.S. Siegler, “Strategy use and strategy choice in fraction magnitude comparison,” Journal of Experimental Psychology: Learning, Memory, and Cognition, vol.42, no.1, pp.1-16, Jan. 2016. 10.1037/xlm0000153
4. [4] Z. Dörnyei, The Psychology of the Language Learner — Individual Differences in Second Language Acquisition, Routledge, New York, 2006. 10.4324/9781410613349
5. [5] E. Macaro, Learning Strategies in Foreign and Second Language Classrooms, Continuum International Publishing, New York, Jan. 2002.
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