Semantic Scholar Open Access 2025 1 sitasi

Innovative Applications of Chinese Character Information Processing Technology in Enhancing Teaching of Chinese Language and Literature

Le Zhang Xun Wang Shuhan Liang

Abstrak

With the continuous advancement of educational information technology, the application strategies of Chinese character information processing technology in Chinese language and literature teaching have become increasingly sophisticated. This paper first explores the application strategies of mobile technology in Chinese character learning, emphasizing the importance of scientific application and how to innovate teaching methods by integrating online and offline approaches. Subsequently, it analyzes the use of multimodal technology in Chinese character recognition and writing, highlighting the significance of dynamically presenting stroke composition and integrating real-life contexts. Additionally, the paper examines the application of Chinese character structure theory and two-dimensional contour deformation technology in teaching, emphasizing their roles in helping students understand the structure and writing of Chinese characters. Furthermore, regarding the use of multimedia information technology, the study proposes the development of a micro-lesson upload platform to facilitate autonomous learning. It also discusses how to select appropriate learning platforms to enhance teaching interaction, enabling students to access richer and more personalized learning experiences while allowing teachers to effectively track and guide their progress. These strategies aim to improve the quality and efficiency of Chinese character teaching.

Penulis (3)

L

Le Zhang

X

Xun Wang

S

Shuhan Liang

Format Sitasi

Zhang, L., Wang, X., Liang, S. (2025). Innovative Applications of Chinese Character Information Processing Technology in Enhancing Teaching of Chinese Language and Literature. https://doi.org/10.26689/erd.v6i12.9271

Akses Cepat

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Lihat di Sumber doi.org/10.26689/erd.v6i12.9271
Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.26689/erd.v6i12.9271
Akses
Open Access ✓