Expanding Methodological Approaches in DDL Research

Alex Boulton · Nina Vyatkina

23 citations0/0 files storedTESOL Quarterly

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Second Language Acquisition and Learning EFL/ESL Teaching and Learning Educational Research and Methods

Abstract

ABSTRACT This paper analyses the methodologies in 148 empirical data‐driven learning studies for L2 English in prestige journals to examine best practice. Manual coding and corpus analysis of key words and n‐grams from the past 5 years (2018–2022) explore the field as a whole and how methodologies have evolved, suggesting improvements and future avenues for research.

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2017Corpus Use in Language Learning: A Meta‐Analysis 2021Thirty years of data-driven learning: Taking stock and charting new directions over time 2019A systematic review of the uses and spread of corpora and data-driven learning in CALL research during 2011–2015 2023A typology of secondary research in Applied Linguistics 2020Data-driven learning – a call for a broader research gaze 2007Popularising corpus consultation by language learners and teachers 2023Sampling and Generalizability in Lx Research: A Second-Order Synthesis 2023On the frequency, prevalence, and perceived severity of questionable research practices

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