Hanzi handwriting acquisition with automatic feedback
Pages 261 - 262
Abstract
One of the most crucial distinctions between Chinese and Western languages is that the former is based on ideograms, whereas the latter is based on phonograms. Due to this distinction, Western learners of Chinese often experience more difficulties in grasping correct character stroke sequence and/or stroke direction relative to native Chinese speakers. In this paper, we designed a HanZi writing environment with automatic feedback to address the above issue. Before the collection of HanZi characters on a massive scale, we conducted a pilot study to collect handwritten Chinese samples from 160 college students in the U.S. The findings from this study enabled us to further refine the learning environment and design optimal learning and teaching strategies for learners and teachers.
References
[1]
Chin-Hwa Kuo, Yi-Wen Huang, Wen-Bing Horng, Chun-Wen Chen, Chen-Hsiang Chen.2009. Design of a Chinese Character Learning System. In TWELF 2009(Tainan, Taiwan Sep.2009)
[2]
Jin, H. G. 2003. Empirical evidence on character recognition in multimedia Chinese tasks. Concentric: Studies in English Literature and Linguistics, 29(2), 36--58.
[3]
S. L. Yeh, J. L. Li, T. Takeuchi, V. C. Sun, and W. R. Liu, 2003 "The role of learning experience on the perceptual organization of Chinese characters", Visual Cognition, vol. 10, pp. 729--764
Index Terms
- Hanzi handwriting acquisition with automatic feedback
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Published In
March 2014
301 pages
ISBN:9781450326643
DOI:10.1145/2567574
- Conference Chairs:
- Mattew Pistilli,
- James Willis,
- Drew Koch,
- Kimberly Arnold,
- Program Chairs:
- Stephanie Teasley,
- Abelardo Pardo
Copyright © 2014 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
- JNGI: John N. Gardner Institute for Excellence in Undergraduate Education
- University of Wisc-Madison: University of Wisconsin-Madison
- SoLAR: The Society for Learning Analytics Research
- Purdue University: Purdue University
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 March 2014
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- Research-article
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LAK '14
Sponsor:
- JNGI
- University of Wisc-Madison
- SoLAR
- Purdue University
LAK '14: Learning Analytics and Knowledge Conference 2014
March 24 - 28, 2014
Indiana, Indianapolis, USA
Acceptance Rates
LAK '14 Paper Acceptance Rate 13 of 44 submissions, 30%;
Overall Acceptance Rate 236 of 782 submissions, 30%
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