Research on AI Empowered Pen Writing Training
Shanfei Shi, Wan Ma, Chuang Zhu, Jiangbo Shu · 2024
In response to the problems of low efficiency, weak personalization, and lack of high-quality teachers in pen writing training for normal students, this paper proposes a multi-round training mode of pen writing for normal students based on the Xiaoya intelligent teaching platform. Relying on the AI-based quantitative evaluation of standardized Chinese character writing, this model provides a holistic and detailed evaluation from three dimensions: alignment, stretch and uniformity. In the detailed evaluation, it not only provides scores for handwriting samples but also feeds back detailed descriptions of the problems for each writing point, so that students can more accurately understand the handwriting problems in order to correct the writing errors more pertinently.