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16 - Implicit Statistical Learning and Second Language Outcomes

A Bayesian Meta-Analysis

from Part IV - Aptitude–Treatment Interaction (ATI)

Published online by Cambridge University Press:  27 May 2023

By
Daniel O. Jackson  and
Ryo Maie
Edited by
Zhisheng (Edward) Wen ,
Peter Skehan  and
Richard L. Sparks
Zhisheng (Edward) Wen
Affiliation:
Hong Kong Shue Yan University
Peter Skehan
Affiliation:
Institute of Education, University of London
Richard L. Sparks
Affiliation:
Mount St Joseph University
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Summary

Recent theoretical advances viewing language aptitude as multifaceted have led to accumulated evidence on certain constructs beyond the specifications of traditional aptitude tests. In this chapter, we consider the potential role of implicit statistical learning (ISL) mechanisms in second language acquisition (SLA). First, terminological and conceptual issues are examined with the goal of clarifying the processes and knowledge that ISL tasks are claimed to involve. Second, we consider justifications for research into the potential link between ISL and SLA by reviewing the argument for a default implicit processing mode in adult L2 learning. Third, we provide a synthesis of studies assessing the link between ISL and L2 outcomes based on the following research questions: (1) Which studies have examined the association between ISL tasks and L2 outcomes and what are their characteristics? (2) Which measures have been used to investigate the construct of ISL? And (3) What are the accumulated findings of the studies? The overall results of a Bayesian meta-analysis confirmed a positive, albeit weak, link between ISL and SLA (r =.13, [.05,.22]). Moderator analyses and a critical review of ISL tasks suggest avenues for future research.

Keywords

Language aptitudeimplicit/statistical learning (ISL)implicit knowledgeexplicit and implicit learningawarenessnaturalistic adult L2 acquisitionBayesian meta-analysis
Type
Chapter
Information
Language Aptitude Theory and Practice , pp. 414 - 440
Publisher: Cambridge University Press
Print publication year: 2023

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