Prior Knowledge Predicts Early Consolidation in Second Language Learning.
consolidation
individual differences
learning
morphology
second language
Journal
Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902
Informations de publication
Date de publication:
2019
2019
Historique:
received:
09
06
2019
accepted:
27
09
2019
entrez:
5
11
2019
pubmed:
5
11
2019
medline:
5
11
2019
Statut:
epublish
Résumé
Language learning occurs in distinct phases. Whereas some improvement is evident during training, offline memory consolidation processes that take place after the end of training play an important role in learning of linguistic information. The timing of offline consolidation is thought to depend on the type of task, with generalization of implicit knowledge suggested to take more time and sleep to consolidate. The current study aims to investigate individual differences in the timing of consolidation following learning of morphological inflections in a novel language in typical adults. Participants learned to make plural inflections in an artificial language, where inflection was based on morpho-phonological regularities. Participants were trained in the evening, and consolidation was measured after two intervals: 12 h (one night) and 36 h (two nights) post training. We measured both inflection of trained items, which may rely on item-specific learning, and generalization to new untrained items, which requires extraction of morpho-phonological regularities. The results for both trained and un-trained items showed two patterns of consolidation: early versus late, that is while some participants improved during the first night, others, who deteriorated in performance during the first night, improved in the later consolidation interval. Importantly, phonological awareness in L1 predicted
Identifiants
pubmed: 31681106
doi: 10.3389/fpsyg.2019.02312
pmc: PMC6802599
doi:
Types de publication
Journal Article
Langues
eng
Pagination
2312Informations de copyright
Copyright © 2019 Ben Zion, Nevat, Prior and Bitan.
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