Human spoken interaction as a complex adaptive system : a longitudinal study of L2 interaction /
Traces the non-linear dynamic longitudinal L2 development of word search sequences in informal social interaction using CA-for-SLA and Complexity Theory. Provides an analytical framework which can be applied to spoken communication in any setting. Explains and unites two high-profile research method...
| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Edinburgh :
Edinburgh University Press,
[2024]
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| Series: | Studies in social interaction.
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| Subjects: |
| Summary: | Traces the non-linear dynamic longitudinal L2 development of word search sequences in informal social interaction using CA-for-SLA and Complexity Theory. Provides an analytical framework which can be applied to spoken communication in any setting. Explains and unites two high-profile research methodologies: Conversation Analysis and Complexity Theory. Draws on 37 hours of video-recorded social conversations across two years between students from a range of countries including: Botswana, Canada, China, Japan, Korea, Indonesia, Romania, Thailand, the United States, Uzbekistan, and Vietnam. Demonstrates longitudinal development of L2 interactional competence of Japanese learners of English through informal English as a Lingua Franca (ELF) interaction. Human Spoken Interaction as a Complex Adaptive System explains how human spoken communication functions, combining two separate complex adaptive systems: the universal 'interaction engine' and language(s), which now number around 7,000. Siegel and Seedhouse offer a comprehensive overview of how the components and processes of the interaction engine work together to enable us to understand each other, whatever the language. Through combining Complexity Science and Conversation Analysis, this book explains how to simultaneously analyse spoken interaction on micro and macro scales. Detailed analyses of L2 learners reveal them to be simultaneously expert in using the interaction engine and inexpert in using the specific language. The study shows that the basic characteristics of the interaction engine are the same as for other life-related complex systems and that it is possible to access the perspectives of participants inside this complex adaptive system as it is evolving. |
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| Physical Description: | xiii, 234 pages : illustrations ; 25 cm. |
| Bibliography: | Includes bibliographical references (pages 212-226) and index. |
| ISBN: | 9781399522687 139952268X |