Cognitive Predictors of Child Second Language Comprehension and Syntactic Learning

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

This study examined the role of child cognitive abilities for procedural and declarative learning in the earliest stages of second language (L2) exposure. In the context of a computer game, 53 first language Italian monolingual children were aurally trained in a novel miniature language over 3 consecutive days. A mixed effects model analysis of the relationship between cognitive predictors and outcomes in morphosyntax measured via a grammaticality judgment test (GJT) was performed. Relative to adults trained in the same paradigm, children with higher procedural learning ability (measured via an alternate serial reaction time task) showed significantly better learning of word order, although the effect size was small. Modeling accuracy in online sentence comprehension during the game also evidenced that higher procedural learning ability was positively associated with significantly better outcomes as practice progressed. By contrast, a composite measure of verbal and visual declarative learning ability did not predict L2 outcomes in either the GJT or the online measure. © 2021 The Authors. Language Learning published by Wiley Periodicals LLC on behalf of Language Learning Research Club, University of Michigan
Original languageEnglish
JournalLanguage Learning - a journal of research in language studies
Volume71
Issue number3
Pages (from-to)907-945
Number of pages39
ISSN0023-8333
DOIs
Publication statusPublished - 09.2021

Bibliographical note

Funding Information:
The present study is based on an analysis of data from the author's PhD dissertation. I thank the audiences of AAAL 2018 (Chicago) and of the Child Language Symposium 2018 (Reading) for their discussion. I am grateful to Kara Morgan‐Short, Michael Ullman, and Judit Kormos for comments on a previous draft, to Jarrad Lum and Kara Morgan‐Short for generously sharing parts of their experimental paradigms with me, to Michael Ratajczak for discussion on aspects of the data analysis, and to the editor and three anonymous reviewers for their constructive feedback. All errors remain my own. Preparation of the manuscript was supported by an ESRC postdoctoral grant awarded to the author.

Publisher Copyright:
© 2021 The Authors. Language Learning published by Wiley Periodicals LLC on behalf of Language Learning Research Club, University of Michigan

Documents

DOI

Recently viewed

Publications

  1. AGDISTIS - Graph-based disambiguation of named entities using linked data
  2. Model inversion using fuzzy neural network with boosting of the solution
  3. Trait correlation network analysis identifies biomass allocation traits and stem specific length as hub traits in herbaceous perennial plants
  4. Supporting the Decision of the Order Processing Strategy by Using Logistic Models
  5. Using transition management concepts for the evaluation of intersecting policy domains ('grand challenges')
  6. Partitioned beta diversity patterns of plants across sharp and distinct boundaries of quartz habitat islands
  7. Visualizing the Hidden Activity of Artificial Neural Networks
  8. Clustering Hydrological Homogeneous Regions and Neural Network Based Index Flood Estimation for Ungauged Catchments
  9. Global temporal typing patterns in foreign language writing
  10. Implementing ERP systems in multinational projects
  11. Efficient Order Picking Methods in Robotic Mobile Fulfillment Systems
  12. Mathematics in Robot Control for Theoretical and Applied Problems
  13. Linux-based Embedded System for Wavelet Denoising and Monitoring of sEMG Signals using an Axiomatic Seminorm
  14. Sequencing and fading worked examples and collaboration scripts to foster mathematical argumentation - working memory capacity matters for fading
  15. Multi-Parallel Sending Coils for Movable Receivers in Inductive Charging Systems
  16. Data-Driven flood detection using neural networks
  17. OKBQA framework towards an open collaboration for development of natural language question-answering systems over knowledge bases
  18. Optimized neural networks for modeling of loudspeaker directivity diagrams
  19. Model-based logistic controlling of converging material flows
  20. Performance and Comfort when Using Motion-Controlled Tools in Complex Tasks