Skip to main navigation Skip to search Skip to main content

A critical review of research and practice in data-driven learning (DDL) in the academic writing classroom

  • Meilin Chen*
  • , John Flowerdew
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

97 Citations (Scopus)
60 Downloads (Pure)

Abstract

Since the late 1980s, there has been a growing interest in the direct application of corpora, or data-driven learning (DDL), in language education. This relatively novel teaching approach has been particularly applied in the teaching and learning of English for Academic Purposes (EAP)/academic writing, especially since the turn of the century. This paper synthesizes and evaluates the research progress in the field of EAP/academic writing since the year 2000 by critically reviewing 37 empirical studies focussing on applications of DDL in this context. Based on the critical review and a discussion of some contentious issues, a set of five recommendations for the way forward in DDL research and practice for EAP/academic writing is presented.
Original languageEnglish
Pages (from-to)335-369
Number of pages35
JournalInternational Journal of Corpus Linguistics
Volume23
Issue number3
DOIs
Publication statusPublished - Oct 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

User-Defined Keywords

  • Academic writing
  • English for academic purposes (EAP)
  • Language teaching
  • Specialised corpora
  • Writing pedagogy

Fingerprint

Dive into the research topics of 'A critical review of research and practice in data-driven learning (DDL) in the academic writing classroom'. Together they form a unique fingerprint.

Cite this