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.
Rezensionen / Stimmen
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, France
Through 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, Italy
In 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
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Postgraduate and Undergraduate Advanced
Illustrationen
52 s/w Abbildungen, 1 s/w Photographie bzw. Rasterbild, 51 s/w Zeichnungen, 15 s/w Tabellen
15 Tables, black and white; 51 Line drawings, black and white; 1 Halftones, black and white; 52 Illustrations, black and white
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 16 mm
Gewicht
ISBN-13
978-1-032-12217-5 (9781032122175)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Nina Vyatkina is Professor of German and Applied Linguistics at the University of Kansas, USA.
List of Figures
List of Tables
Foreword
Acknowledgments
1 Introduction
1.1 Corpora in language teaching and learning
1.2 Current challenges and emerging solutions
1.2.1 The English-LOTEs divide
1.2.2 The DDL-ISLA research divide
1.2.3 The research-pedagogy divide
1.3 Scope of the book and chapter summaries
References
2 Corpus Applications in L2 German Teaching
2.1 Indirect corpus applications
2.1.1 Historical background
2.1.2 Indirect corpus applications for German
2.2 Direct corpus applications for German
2.2.1 Historical background
2.2.2 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 German
3.1 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: 2012-2015
3.3.5 Period V: 2016-2019
3.4 Comparative methodological synthesis of studies on DDL for German, other LOTEs, and English
3.4.1 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 collocations
4.1 Background
4.1.1 Existing and missing connections between DDL and SLA
4.1.2 Multiword items in ISLA and DDL vocabulary research
4.2 Study design
4.2.1 Research question
4.2.2 Article database
4.2.3 Method
4.3 Data analysis: procedures and results
4.3.1 Manual analysis
4.3.2 Automated analysis
4.4 Chapter summary
References
5 DDL effectiveness for the improvement of the L2 vocabulary knowledge: The case of German verb-noun collocations
5.1 Background
5.1.1 Collocations and L2 knowledge
5.1.2 Implicit instruction with input modification
5.1.3 Explicit instruction with focus on forms
5.1.4 Corpus-based instruction
5.1.5 Factors that influence the knowledge and learning of collocations
5.1.6 Research on collocations in German and other LOTEs
5.2 Rationale and research questions
5.3 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 German
6.1 OER and OEP in language learning and teaching
6.2 OER in DDL
6.3 Incorporating Corpora: corpus-based OER for teaching German to English-speaking learners
6.3.1 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 beyond
7.1 Book summary
7.2 Bridging the English-LOTEs divide
7.3 Bridging the DDL-ISLA divide
7.4 Bridging the research-pedagogy divide
7.5 Conclusion and outlook
References
Appendix A: Top 50 keywords in the ISLA articles subset
Appendix B: Top 50 keywords in the DDL articles subset
Appendix 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
