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作 者:Yue Xu Chi Shing Lai
机构地区:[1]Chinese Language Studies,The Education University of Hong Kong,China
出 处:《教育技术与创新》2024年第4期21-38,共18页Journal of Educational Technology and Innovation
基 金:This paper is supported by“Tin Ka Ping Foundation:Guangdong-Hong Kong-Macao Greater Bay Area'Characteristic Affection,Classical Aspirations'Teaching Development Research Project”(Project Number:CB372).
摘 要:This study explores the potential application of ChatGPT in designing customized instructional plans for Chinese as a Second Language(CSL)teaching,focusing on non-Chinese-speaking(NCS)students in Hong Kong.Through two rounds of comparative experiments,the study evaluates the effectiveness of AI-generated instructional designs against expert-designed versions.Results reveal that while initial ChatGPT designs initially have limitations,advanced versions demonstrate significant potential in supporting teachers with task-based language teaching(TBLT).These designs provide practical,culturally relevant tasks tailored to diverse learners,enhancing instructional efficiency and learner engagement.Furthermore,ChatGPT’s accessibility offers opportunities to reduce educational disparities by supporting teachers in resource-limited contexts,thereby addressing inequities in instructional quality.The study concludes that,while AI cannot replace teachers,ChatGPT can serve as a valuable supplementary tool,complementing human expertise in culturally and linguistically complex L2 teaching.It underscores the importance of ethical considerations and the critical role of teachers in integrating AI technology effectively to maximize its benefits in education.
关 键 词:ChatGPT TBLT Instructional design L2 Teaching Teaching Chinese as a Foreign Language
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