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Patterns of tasks, patterns of talk: L2 literacy building in university Spanish classes

机译:任务模式,谈话模式:大学西班牙语课中的第二语言素养培养

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Second language (L2) classroom research has sought to shed light on the processes and practices that develop L2 learners' abilities [Nunan, D. 2004. Task-based language teaching. London: Continuum; Verplaetse, L. 2014. Using big questions to apprentice students into language-rich classroom practices. TESOL Quarterly, 179, 632-641; Zeungler, J., & Mori, J. 2002. Microanalyses of classroom discourse: A critical consideration of method. Applied Linguistics, 23(3), 283-288]. Honing in on the micro-level of classroom tasks and even further into the language of the tasks can help to reveal the patterns in teacher- and student-talk that help scaffold students' academic literacy. Literacy, from a systemic functional view of language learning, entails having the tools to function in the social contexts that are valued in students' lives. This study illustrates how grounded ethnography was used in conjunction with functional discourse analysis to illuminate bi-literacy development in two third-year university Spanish writing classes. Findings uncovered unique patterns of tasks and oral interactions that helped build students' academic bi-literacy. While grammar tasks helped build students' knowledge of wording-meaning relationships, culture and writing tasks supported their evolving understanding of how language construes content. This study puts forth a systemic functional curricular model for literacy-based tasks that aims to bridge the previously observed language-content gap.
机译:第二语言(L2)课堂研究试图阐明发展第二语言学习者能力的过程和实践[Nunan,D.2004。基于任务的语言教学。伦敦:连续谱; Verplaetse,L.,2014年。使用大问题来学徒生学习语言丰富的课堂练习。 TESOL季刊,179,632-641; Zeungler,J。和Mori,J。2002。课堂话语的微观分析:方法的关键考虑。应用语言学,23(3),283-288]。细化课堂任务的微观水平,甚至深入到任务的语言中,可以帮助揭示教师和学生对话中的模式,这些模式有助于提高学生的学术素养。从系统的语言学习功能角度来看,扫盲需要拥有在学生生活中重视的社会环境中发挥作用的工具。这项研究说明了如何将扎实的人种志与功能性话语分析结合使用,以阐明两个三年级大学西班牙语写作班中的双素养发展。调查结果发现了独特的任务模式和口头互动方式,有助于建立学生的学术素养。语法任务有助于建立学生的词义关系知识,而文化和写作任务则支持他们对语言如何构成内容的不断发展的理解。这项研究提出了针对识字任务的系统功能课程模型,旨在弥合先前观察到的语言-内容差距。

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