Browsing by Subject "Data-driven learning"
Now showing items 1-4 of 4
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Data-driven learning, theories of learning and second language acquisition: in search of intersections (Pre published)
(2021-11)This chapter focuses on the need to address both theories of learning and theories of language acquisition in data-driven learning (DDL) research. While it recognises that there has been so much worthwhile research work ... -
Data-driven learning: a call for a broader research gaze
(Cambridge University Press, 2021-04)Over the last three decades, data-driven learning (DDL) has been widely championed by those of us who see the exciting opportunities that it can bring to the language learner. From the initial days of DDL, there has been ... -
Investigating language corpora as a grammar development resource
(2023-09-25)The digital era has brought new concepts and transformations into language development and has given rise to technology-based approaches to learner autonomy. It has shifted the focus from deductive to inductive learning, ... -
Principled pattern curation to guide data-driven learning design
(Elsevier, 2022-08-06)Insights from corpus linguistics (CL) have informed language learning and materials design, among many other areas. An important nexus between CL and language learning is the use of Data-Driven Learning (DDL), which draws ...