Details

Autor(en) / Beteiligte

• Vyatkina, Nina

Titel

Conclusions and outlook for DDL of German and beyond

Ist Teil von

• Corpus Applications in Language Teaching and Research, 2024, p.160-169

Auflage

1

Ort / Verlag

United Kingdom: Routledge

Erscheinungsjahr

2024

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• This chapter concludes the book. It revisits the three gaps, or divides, in the data-driven learning (DDL) domain identified in Chapter 1 and summarizes this book's contributions to bridging each of these divides: a language divide, a research domain divide, and a research-practice divide. Finally, the book's limitations are acknowledged, and future directions recommended. Pedagogical corpus applications and research testing their effectiveness have overwhelmingly focused on English as a target language. The situation started changing gradually in recent years with more data-driven learning (DDL) researchers and practitioners directing their attention to DDL for Languages Other Than English (LOTEs). Instructed Second Language Acquisition (ISLA) studies employed highly controlled designs, short interventions utilizing paper-based exercises to teach a limited number of collocations, compared learning gains with two or more treatment types, and explored multiple learner-related and item-related factors with multifactorial methods. A detailed research agenda for future DDL research informed by cognitive-interactionist approaches is outlined by Forti, relating to input, output, frequency, L1-L2 effects, and more. A new definition for revamped DDL, or DDL 2.0, could then be learning driven by the use of aligned pedagogical practices which promote the use of authentic data-in various modalities and possibly with the help of various digital tools.