A web-based chinese handwriting education system with automatic feedback and analysis

Authors:
Kai-Tai Tang;Ka-Ki Li;Howard Leung
Affiliations:
Department of Computer Science, City University of Hong Kong, Hong Kong;Department of Computer Science, City University of Hong Kong, Hong Kong;Department of Computer Science, City University of Hong Kong, Hong Kong
Venue:
ICWL'06 Proceedings of the 5th international conference on Advances in Web Based Learning
Year:
2006

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Abstract

We propose a web-based Chinese handwriting system that allows students to learn Chinese handwriting at anytime and anywhere. The system combines technologies such as electronic ink, database, Flash animations, and pattern recognition technique to provide students with an intelligent and effective learning environment. In particular, our system contains an Automatic Feedback and Analysis (AFA) tool that can check multiple kinds of handwriting mistakes and provide useful feedback to the user. Survey results show that most users agreed that our proposed system can help them to learn Chinese handwriting more efficiently as well as reducing teachers’ workload. The user evaluation results suggest that it takes less time for users to learn Chinese handwriting with our system than with traditional teaching method.