Cited by 35EFL/ESL Teaching and LearningSecond Language Acquisition and LearningNeurobiology of Language and Bilingualism

IMPLICIT LANGUAGE APTITUDE: CONCEPTUALIZING THE CONSTRUCT, VALIDATING THE MEASURES, AND EXAMINING THE EVIDENCE: INTRODUCTION TO THE SPECIAL ISSUE

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Li, Shaofeng, DeKeyser, Robert·2021·Studies in Second Language Acquisition

Abstract

This article discusses the conceptualization, measurement, and validity of a recently emerged construct in the field of second language acquisition (SLA)—implicit language aptitude (alternatively “implicit aptitude”). Implicit aptitude is a set of cognitive abilities that enable learners to make unconscious computations of the distributional and transitional probabilities of linguistic input. Implicit aptitude is key to an accurate understanding of the cognitive foundation of language learning and contributes significantly to the advancement of SLA theory and pedagogy. The article starts by clarifying the concept and components of implicit aptitude, elaborating its role in SLA theories, identifying its attributes, and discussing its measurement. It then synthesizes the empirical evidence on its divergent, convergent, and predictive validity, which refers to whether it is distinct or separable from explicit aptitude, whether measures of implicit aptitude are correlated, and whether it is predictive of learning outcomes, respectively. Next, the article provides an overview of the seven empirical studies included in this special issue that examined implicit aptitude from various perspectives. The article concludes by identifying future directions.

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  • Because of the lack of correlation between ASRT and SL, data reduction on the procedural learning measures was not attempted.

    “There could be multiple reasons for this (see Li & DeKeyser, 2021, for a recent overview of SLA-focused research, finding similar issues with the construct validity of implicit language aptitude), but because of the lack of correlation, we did not attempt data reduction on the procedural learning measures.”

    From Testing the three-stage model of second language skill acquisition (2025) · cites this paper as Li & DeKeyser, 2021

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  1. Arciuli, J. (2017). The multi-component nature of statistical learning. Philosophical Transactions B, 372, 1-9.
  2. Buffington, J., & Morgan-Short, K. (2019). Declarative and procedural memory as individual differences in second language aptitude. In Z. Wen, P. Skehan, A. Biedron, S. Li, & R. Sparks (Eds.), Language aptitude: Advancing theory, testing, research and practice (pp. 215-237). Routledge.
  3. Carroll, J. B. (1981). Twenty-five years of research on foreign language aptitude. In K. C. Diller (Ed.), Individual differences and universals in language learning aptitude (pp. 83-118). Newbury House.
  4. Conway, C., & Christiansen, M. (2005). Modality constrained statistical learning of tactile, visual, and auditory sequences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31, 24-39.
  5. Ellis, N., & Wulff, S. (2015). Usage-based approaches to SLA. In B. VanPatten & J. Williams (Eds.), Theories of second language acquisition (pp. 75-93). Routledge.
  6. Ellis, R., Skehan, P., Li, S., Shintani, N., & Lambert, C. (2020). Task-based language teaching: Theory and practice. Cambridge University Press.
  7. Gass, S. (2018). Input, interaction, and the second language learner. Routledge.
  8. Gebauer, G. F., & Mackintosh, N. J. (2007). Psychometric intelligence dissociates implicit and explicit learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 33, 34.
  9. Hoffmann, J., & Sebald, A. (2005). When obvious covariations are not even learned implicitly. European Journal of Cognitive Psychology, 17, 449-480.
  10. Jiang, Y., & Chun, M. M. (2001). Selective attention modulates implicit learning. The Quarterly Journal of Experimental Psychology Section A, 54, 1105-1124.
  11. Jiménez, L., & Méndez, C. (1999). Which attention is needed for implicit sequence learning? Journal of Experimental Psychology: Learning, Memory, and Cognition, 25, 236-259.
  12. Jiménez-Fernández, G., Vaquero, J., Jiménez, L., & Defior, S. (2011). Dyslexic children show deficits in implicit sequence learning but not in explicit sequence learning or contextual cueing. Annals of Dyslexia, 61, 85-110.
  13. Knowlton, B., & Greenberg, D. (2008). Implicit learning and memory. In G. Goldenberg & B. Miller (Eds.), Handbook of clinical neurology (pp. 221-236). Elsevier B. V. Krashen, S. (1981). Aptitude and attitude in relation to second language acquisition and learning. In K. Diller, (Ed.), Individual differences and universals in language learning aptitude (pp. 155-175).
  14. Li, S. (2013a). The interactions between the effects of implicit and explicit feedback and individual differences in language analytic ability and working memory. Modern Language Journal, 97, 634-654.
  15. Li, S. (2013b). The differential roles of language analytic ability and working memory in mediating the effects of two types of feedback on the acquisition of an opaque linguistic structure. In C. Sanz & B. Lado (Eds.), Individual differences, L2 development & language program administration: From theory to application (pp. 32-52). Cengage Learning.
  16. Li, S. (2014). Recasts, working memory, and the choice of target structure. In Z. Han (Ed.), Second language acquisition of Chinese: A series of empirical studies (pp. 103-125). Multilingual Matters.
  17. Li, S. (2015). The associations between language aptitude and second language grammar acquisition: A meta- analytic review of five decades of research. Applied Linguistics, 36, 385-408.
  18. Li, S. (2017a). The effects of cognitive aptitudes on the process and product of L2 interaction: A synthetic review. In L. Gurzynski-Weiss (Ed.), Expanding individual difference research in the interaction approach: Investigating learners, instructors and researchers (pp. 41-70).
  19. Li, S. (2017b). Cognitive differences and ISLA. In S. Loewen & M. Sato (Eds.), Handbook of instructed second language learning (pp. 396-417). Routledge.
  20. Li, S. (2018). Language aptitude. In A. Burns & J. Richards (Eds.), The Cambridge guide to learning English as a second language (pp. 63-72). Cambridge University Press.
  21. Li, S. (in press). Language aptitude. In S. Li, P. Hiver, & M. Papi (Eds.), The Routledge handbook of second language acquisition and individual differences. Routledge.
  22. Long, M. H. (1996). The role of the linguistic environment in second language acquisition. In W. C. Ritchie & T. K. Bhatia (Eds.), Handbook of language acquisition. Vol. 2: Second language acquisition (pp. 413-468). Academic Press.
  23. McDonough, K., & Trofimovich, P. (2008). Using priming methods in second language research. Routledge.
  24. McDonough, K., & Trofimovich, P. (2016). The role of statistical learning and working memory in L2 speakers' pattern learning. Modern Language Journal, 100, 1-18.
  25. Perruchet, P. (2008). Implicit learning. In J. Byrne (Ed.), Cognitive psychology of memory. Vol. 2 of learning and memory: A comprehensive reference (pp. 597-621). Elsevier.
  26. Reber, A. S. (1993). Implicit learning and tacit knowledge: An essay on the cognitive unconscious. Oxford University Press.
  27. Reber, A. S., Walkenfeld, F., & Hernstadt, R. (1991). Implicit and explicit learning: Individual differences and IQ. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17, 888.
  28. Rebuschat, P. (2008). Implicit learning of natural language syntax. (Unpublished doctoral dissertation). University of Cambridge.
  29. Saffran, J. (2001). The use of predictive dependencies in language learning. Journal of Memory and Language, 44, 493-515.
  30. Siegelman, N., & Frost, R. (2015). Statistical learning as an individual ability: Theoretical perspectives and empirical evidence. Journal of Memory and Language, 81, 105-120.
  31. Stanovich, K. (2009). Distinguishing the reflective, algorithmic, and autonomous minds: Is it time for a tri- process theory? In J. S. B. T. Evans & K. Frankish (Eds.), In two minds: Dual processes and beyond (pp. 55-88). Oxford University Press.
  32. Wen, Z., Skehan, P., Biedron, A., Li, S., & Sparks, R. (2019). Language aptitude: Advancing theory, testing, research, and practice. Routledge.
  33. Williams, J. N. (2009). Implicit learning in second language acquisition. In W. C. Ritchie & T. K. Bhatia (Eds.), New handbook of second language acquisition (pp. 319-353). Emerald Group Publishing Limited.

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Authors
Li, S., & DeKeyser, R.
Affiliations
  • Florida State University (US)
  • University of Maryland, College Park (US)
Corresponding author
Li, Shaofeng
Venue
Studies in Second Language Acquisition
Published
2021-07
Volume
43
Issue
3
Pages
473-497
ISSN
  • 0272-2631 (ISSN-L)
  • 1470-1545
OpenAlex
W3200136459
Cited by
35
References
5
Citations by year
2026: 8 · 2025: 9 · 2024: 7 · 2023: 4 · 2022: 5 · 2021: 2
FWCI
17.78
Type
journal article
Language
en
Open access
Locations
Studies in Second Language Acquisition (publishedVersion, cc-by)
Topics
  • Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
  • Social Sciences › Psychology › Developmental and Educational Psychology › Second Language Acquisition and Learning
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
Keywords
second language acquisition, construct validity, discriminant validity, convergent validity, predictive validity, language learning

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