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      Corpus Applications in Language Teaching and Research

      The Case of Data-Driven Learning of German

      AvNina Vyatkina

      Häftad, Engelska, 2025

      Del i serien Routledge Applied Corpus Linguistics

      667 kr

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      Beskrivning

      Corpus Applications in Language Teaching and Research: The Case of Data-Driven Learning of German provides a historical overview of corpus applications in language teaching with a focus on German. The book identifies challenges in using corpus applications and data-driven learning (DDL) research for Languages Other Than English (LOTEs) and addresses these challenges through various approaches. Overall, this book: surveys corpus applications for teaching and learning German, highlighting the growth of the L2 German DDL field and identifying trends in integrating DDL into pedagogical practice; presents empirical research on the effectiveness of DDL applications for teaching and learning German in comparison with research on English and other LOTEs, emphasizing the need for expanding the scope of DDL research to include more languages, skills, and study types; compares teaching interventions for L2 collocations in the fields of Instructed Second Language Acquisition (ISLA) and DDL, highlighting methodological differences between the two paradigms and proposing a combined ISLA/DDL framework to bridge the disconnect; showcases a successful DDL intervention that resulted in significant learning gains in German collocation knowledge, filling a gap in DDL research; proposes an Open Educational Resource (OER) for teaching and learning German, incorporating open access corpora, learner-fit criteria, new tools and technology, and usage-based learning principles; examines the current difficulties encountered by the DDL field and highlights potential directions for future research and pedagogical approaches.This book offers insights and resources for researchers, language teaching practitioners, and students interested in corpus-based learning and teaching methods. While the focus is on teaching German to English-speaking students, the book's findings have broader applicability to language teaching and learning in different contexts.

      Produktinformation

      • Utgivningsdatum:2025-04-14
      • Mått:156 x 234 x 12 mm
      • Vikt:160 g
      • Format:Häftad
      • Språk:Engelska
      • Serie:Routledge Applied Corpus Linguistics
      • Antal sidor:192
      • Förlag:Taylor & Francis Ltd
      • ISBN:9781032122182

      Utforska kategorier

      • Språkundervisning och språkinlärning inom Språk och ordböcker
      • Språkvetenskap och lingvistik inom Språk och ordböcker
      • Undervisning i specifika ämnen inom Psykologi och pedagogik

      Mer om författaren

      Nina Vyatkina is Professor of German and Applied Linguistics at the University of Kansas, USA.

      Recensioner i media

      Nina Vyatkina draws on her wealth of expertise in the area to provide a lively and engaging insight into the potential of language corpora for teaching and learning German, with her usual enthusiasm, original thinking and scientific rigour. With its solid theoretical foundation combined with a meticulous attention to empirical research, this book is an essential companion for novice and experienced scholars interested in DDL, especially for languages other than English – German and beyond. Students and teachers will also appreciate its easy readability and the judicious use of illustrative tables and figures, always with an eye for practical implications (not just chapter 6). The section linking DDL and ISLA is hugely insightful and should inspire other fruitful comparisons of this type.Alex Boulton, ATILF, University of Lorraine & CNRS, FranceThrough the lens of data-driven learning for German, Nina Vyatkina masterfully addresses fundamental issues in data-driven learning as a whole: the under-representation of languages other than English, the hiatus between data-driven learning and second language acquisition research, and the gap between research findings and current pedagogical practices. Her innovative approach in dealing with such issues makes her book an essential reference resource that significantly moves the field forward, a must-read for researchers, teachers, and students.Luciana Forti, University for Foreigners of Perugia, ItalyIn her outstanding book on data-driven learning, Nina Vyatkina exemplifies exceptional expertise in the field. She adeptly blends in-depth reflexions on the domain with scaffolded practical insights. She offers educators, learners and researchers alike an invaluable, accessible and comprehensive resource built around German and easily transferable to any language.Fanny Meunier, UCLouvain, Belgium

      Innehållsförteckning

      • List of FiguresList of TablesForewordAcknowledgments1 Introduction 1.1 Corpora in language teaching and learning 1.2 Current challenges and emerging solutions1.2.1 The English–LOTEs divide1.2.2 The DDL–ISLA research divide1.2.3 The research–pedagogy divide1.3 Scope of the book and chapter summariesReferences2 Corpus Applications in L2 German Teaching2.1 Indirect corpus applications2.1.1 Historical background 2.1.2 Indirect corpus applications for German 2.2 Direct corpus applications for German 2.2.1 Historical background2.2.2 Period I: 1974–2000 2.2.3 Period II: 2001–2010 2.2.4 Period III: 2011–2020 2.3 Chapter summary References 3 Empirical studies on the effectiveness of DDL for German3.1 Background 3.2 Method 3.3 Narrative review 3.3.1 Period I: 1997–2003 3.3.2 Period II: 2004–2007 3.3.3 Period III: 2008–2011 3.3.4 Period IV: 2012–20153.3.5 Period V: 2016–2019 3.4 Comparative methodological synthesis of studies on DDL for German, other LOTEs, and English3.4.1 Publication 3.4.2 Population 3.4.3 Treatment 3.4.4 Design 3.5 Chapter summary References 4 Comparative methodological synthesis of ISLA and DDL research on L2 collocations4.1 Background4.1.1 Existing and missing connections between DDL and SLA4.1.2 Multiword items in ISLA and DDL vocabulary research4.2 Study design 4.2.1 Research question4.2.2 Article database4.2.3 Method 4.3 Data analysis: procedures and results 4.3.1 Manual analysis4.3.2 Automated analysis 4.4 Chapter summary References 5 DDL effectiveness for the improvement of the L2 vocabulary knowledge: The case of German verb–noun collocations5.1 Background 5.1.1 Collocations and L2 knowledge 5.1.2 Implicit instruction with input modification5.1.3 Explicit instruction with focus on forms 5.1.4 Corpus-based instruction5.1.5 Factors that influence the knowledge and learning of collocations5.1.6 Research on collocations in German and other LOTEs5.2 Rationale and research questions5.3 Design 5.3.1 Participants and institutional setting 5.3.2 Target items 5.3.3 Treatment materials and procedures 5.3.4 Data collection instruments and scoring 5.3.5 Timeline 5.3.6 Data analysis method 5.4 Results 5.4.1 Research question 1 5.4.2 Research question 2 5.4.3 Research question 3 5.4.4 Research question 4 5.5 Discussion 5.6 Limitations 5.7 Chapter summary References 6 Materials design: Development of Open Educational Resources and Practices for DDL of German6.1 OER and OEP in language learning and teaching6.2 OER in DDL6.3 Incorporating Corpora: corpus-based OER for teaching German to English-speaking learners6.3.1 Introduction 6.3.2 About the Project 6.3.3 Introduction to DWDS 6.3.4 The workbook 6.3.5 Pilot testing of Incorporating Corpora 6.3.6 Learner perceptions of Incorporating Corpora 6.4 Chapter summary References 7 Conclusions and outlook for DDL of German and beyond7.1 Book summary7.2 Bridging the English–LOTEs divide 7.3 Bridging the DDL–ISLA divide 7.4 Bridging the research–pedagogy divide7.5 Conclusion and outlook ReferencesAppendix A: Top 50 keywords in the ISLA articles subsetAppendix B: Top 50 keywords in the DDL articles subsetAppendix C: Language background questionnaire Appendix D: Verb–noun collocations on paper: worksheet Appendix E: Verb–noun collocations on computer: worksheet Appendix F: Collocation knowledge test part I Appendix G: Collocation knowledge test part II Index
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