Lecture Notes in Computer Science, 2006, Volume 4181/2006, 176-188, DOI: 10.1007/11925293_17

A Web-Based Chinese Handwriting Education System with Automatic Feedback and Analysis

Kai-Tai Tang, Ka-Ki Li and Howard Leung

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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.

Keywords  Chinese handwriting education - stroke production - stroke sequence - web-based learning - automatic feedback and analysis

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