专著推荐 | 《数字空间中的对话分析语言教师教育》

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2024-09-04

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书名

Conversation Analytic Language Teacher Education in Digital Spaces

主题词：多模态话语分析、会话分析、外语教师发展、数字空间、数字话语分析

精装版 ISBN: 978-3-031-19126-8

出版社: Palgrave Macmillan

作者：Ufuk Balaman

Ufuk Balaman is an Associate Professor of Applied Linguistics in the Department of English Language Teaching at Hacettepe University, Türkiye. His research deals with language learning, teaching, and teacher education mainly in digital spaces.

Marcel Danesi is known for his work in semiotics and youth culture. He has published as well on the meanings of popular culture and how they inform social evolution. He has also written textbooks introducing linguistics and semiotics. And he has published a series of books on advertising as a sign system.

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推荐语

Sets out seven defining features of the CALTE perspective阐述了CALTE观点的七个定义特征

Tracks how pre-service teachers increase their knowledge of classroom practices跟踪职前教师如何增加课堂实践知识

Suggests huge potential for applying multimodal CA to LTE in digital spaces表明在数字空间中将多模态CA应用于LTE的巨大潜力

This book presents original research on language teacher education (LTE) activities in digital spaces, making use of a multimodal Conversation Analysis (CA) approach to examine multiple datasets and bring new insights into the theory, research, and practice of second/foreign language teacher education. The author conceptualizes a model of Conversation Analytic Language Teacher Education (CALTE), proposing a new knowledge base for LTE, identifying research-informed defining features, mapping the scope of an original praxis base, and providing research evidence from the implementation of this approach in and for digital spaces. The result is an argument for wide implementation and on-going improvement of the CALTE approach, and the book will be of interest to language teacher education professionals, multimodal CA researchers, and applied linguists.

本书介绍了数字空间中语言教师教育（LTE）活动的原创研究，利用多模态对话分析（CA）方法来检查多个数据集，并为第二/外语教师教育的理论、研究和实践带来新的见解。作者构思了会话分析语言教师教育（CALTE）的模型，为LTE提出了一个新的知识库，确定了以研究为依据的定义特征，绘制了原始实践库的范围，并提供了在数字空间中实施这种方法的研究证据。其结果是广泛实施和持续改进 CALTE 方法的论据，该书将引起语言教师教育专业人士、多模态 CA 研究人员和应用语言学家的兴趣。

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