- 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.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
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