Enhancing Vocabulary Growth in Tertiary Chinese as a Foreign Language Education Through Mobile-Assisted Seamless Learning

Xiaosheng Zhou and Ying Soon Goh
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Xiaosheng Zhou: Wenzhou University of Technology, China
Ying Soon Goh: Universiti Teknologi MARA, Terengganu, Malaysia

International Journal of Mobile and Blended Learning (IJMBL), 2025, vol. 17, issue 1, 1-25

Abstract: This study introduces a mobile-assisted Seamless Chinese Vocabulary Learning (SCVL) framework and examines its efficacy through the implementation of a “sentence-paragraph-essay” artifact-making writing process designed to enhance vocabulary growth among tertiary-level students. Employing a design-based research methodology, the study leveraged the DingTalk platform for the implementation of the SCVL framework. A quantitative analysis of 2,301 writing artifacts was performed across a 16-week duration involving 32 international students. This analysis utilized a two-way repeated-measures ANOVA to assess vocabulary usage. The findings indicated noteworthy enhancements in the Type-Token Ratio for sentences, paragraphs, and essays across different performance groups over time. The implementation of SCVL led to conspicuous advancements in Chinese vocabulary learning among students. This study underscores the potential of the SCVL approach to yield positive learning outcomes, thereby carrying implications for Chinese educators and the wider domain of language education.

Date: 2025
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