Data-driven learning

Gilquin, Gaëtanelle
(2026) International Encyclopedia of Language and Linguistics — ISBN: [9780443222863], 627-630, published

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Data-driven learning (DDL) is a pedagogical approach which involves letting students use corpus data to help them gain knowledge of a target language. In this article, various ways of doing DDL are presented, depending on whether it is carried out in a direct or indirect manner, what corpora are used and what types of searches are performed. Research on the evaluation of DDL is also reported on, as well as future directions, including the place of DDL in relation to generative artificial intelligence.
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Gilquin, G. (2026). Data-driven learning. In H. Nesi, P. Milin (ed.), International Encyclopedia of Language and Linguistics (pp. 627-630). Elsevier. https://doi.org/10.1016/b978-0-323-95504-1.00845-0