Using corpora to foster L2 construction learning: A data-driven learning experiment
(2021) International Journal of Applied Linguistics — Vol. 31, n° 2, p. 229-247 (2021)
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- Abstract
- This paper adopts a Construction Grammar approach to test the efficiency of data-driven learning (DDL) when applied to constructions. High-intermediate learners of English as a foreign language took part in an experiment consisting, for each construction, in (i) a pre-test, in which the learners had to produce as many sentences as possible illustrating the constructions, (ii) a DDL intervention, which involved various concordance-based activities, and (iii) several post-tests, similar to the pre-test, performed at regular intervals. The analysis looks at the number of (valid and invalid) constructions produced as well as the native-like nature of these constructions, as established through a comparison with native corpus data. The analysis also examines the evolution of these results over the different post-tests. Finally, it considers learners’ attitudes towards the DDL interventions, as evaluated through a questionnaire.
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Citations
Gilquin, G. (2021). Using corpora to foster L2 construction learning: A data-driven learning experiment. International Journal of Applied Linguistics, 31(2), 229-247. https://doi.org/10.1111/ijal.12317 (Original work published 2021)