Learner corpora, like other corpora, have mostly been used to generalize about whole populations. Yet, they can be exploited for teaching purposes in a more differentiated and inclusive manner, by showing how learners with a specific profile (are likely to) use the target language. Such an approach can rely on the metadata found in existing learner corpora or on corpus data collected among one’s own students. Findings based on the analysis of these corpora can help develop tailor-made pedagogical materials and activities to meet the needs of particular learner groups or individual learners, including data-driven learning activities through which students make discoveries about their own use of the target language.
Gilquin, G. (2024). Learner corpora to meet learners’ individual needs. Babylonia, 2(1), 14-19. https://doi.org/10.55393/babylonia.v2i.386 (Original work published 2024)