The application of multimodal GenAI in lesson planning for primary school L2 Chinese vocabulary teaching: A TPACK perspective
发布时间:2026-03-08
点击次数:
影响因子:6.6
DOI码:10.1080/09588221.2026.2637725
发表刊物:Computer Assisted Language Learning
关键字:multimodal GenAI; lesson planning; TPACK; L2 Chinese; primary education
摘要:Generative artificial intelligence (GenAI) is rapidly expanding within L2 education and is increasingly positioned as a core resource for lesson planning. This study explores how 22 pre-service teachers mobilized multimodal GenAI tools, including DALL-E for image generation and ChatGPT for instructional support, to plan Grades 3-4 Chinese-as-a-second-language (L2) vocabulary lessons in Hong Kong primary schools. Using the TPACK framework, we examined how their pedagogical, content, and technological knowledge interact during this process. Lesson artefacts, reflective forms, and semi-structured interview responses were analyzed. Results showed that participants actively employed a range of multimodal GenAI functions across instructional stages, with image-generation tools being the most frequently used (34 instances). They were aware of the Chinese character features and pupils' cognitive and cultural characteristics to produce culturally attuned teaching materials. Rather than static overlap, content, pedagogical, and technological knowledge continuously shaped one another through iterative negotiation. Theoretically, the study operationalizes the TPACK framework into a GenAI-supported, multilingual primary setting and illustrates how the three knowledge domains co-evolve through recursive negotiation. Practically, it underscores the value of collaborative design, systematic cultural vetting, and the deliberate integration of interactive chatbots to enhance L2 vocabulary instruction.
合写作者:Siyu Zhu, Jialin Li, Ziqi Zhang
第一作者:Yuan Yao
论文类型:期刊论文
通讯作者:Xinhua Zhu
学科门类:教育学
文献类型:J
是否译文:否
发表时间:2026-03-07
收录刊物:SSCI
发布期刊链接:https://doi.org/10.1080/09588221.2026.2637725
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