Abstract
Chinese is the most spoken language in the world, and Chinese characters are the written symbol system of the Chinese language. As junior primary school students aged six to eight years old learning Chinese characters, they need to understand Chinese characters, learn to write and compose Chinese characters, and achieve certain reading skills in a relatively short period of time. In the actual learning process, junior primary school students face a variety of problems in learning Chinese characters, from their own factors to teaching methods and family environment. The need to learn Chinese characters well facing many challenges. Therefore, this study aims to understand the basic learning theory of Chinese characters and the characteristics of Chinese character learning for low school-age children, to explore the connection between Chinese character orthography awareness and children's Chinese character learning, to explore the possibility of combining Chinese character learning and digital technology, to design a mobile platform for Chinese character learning for the students, to promote the optimization and improvement of Chinese character education in the first school year, and to promote the improvement of Chinese character skills for the students aged six to eight. The study adopts a bibliometric approach, in which all the collected literature are from the China National Knowledge Infrastructure (CNKI) China Knowledge Database, and analyzed using keyword clustering via Citespace software to obtain the corresponding network. The analysis has obtained the current research hotspots and research trends, as well as relationships for Chinese character learning and tool platform development for the junior primary school student based on orthographic awareness.
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Liu, Z., Lin, Z. (2023). Chinese Character Learning and Platform Tool Development for Junior Primary School Student Based on Orthographic Awareness. In: Marcus, A., Rosenzweig, E., Soares, M.M. (eds) Design, User Experience, and Usability. HCII 2023. Lecture Notes in Computer Science, vol 14033. Springer, Cham. https://doi.org/10.1007/978-3-031-35708-4_11
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