IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i3p1877-d744148.html
   My bibliography  Save this article

Visual Implicit Learning Abilities in Infants at Familial Risk for Language and Learning Impairments

Author

Listed:
  • Roberta Bettoni

    (Department of Psychology, Università degli Studi di Milano-Bicocca, 20126 Milano, Italy)

  • Chiara Cantiani

    (Child Psychopathology Unit, Scientific Institute Eugenio Medea, 23842 Bosisio Parini, Italy)

  • Valentina Riva

    (Child Psychopathology Unit, Scientific Institute Eugenio Medea, 23842 Bosisio Parini, Italy)

  • Massimo Molteni

    (Child Psychopathology Unit, Scientific Institute Eugenio Medea, 23842 Bosisio Parini, Italy)

  • Viola Macchi Cassia

    (Department of Psychology, Università degli Studi di Milano-Bicocca, 20126 Milano, Italy)

  • Hermann Bulf

    (Department of Psychology, Università degli Studi di Milano-Bicocca, 20126 Milano, Italy)

Abstract

The ability of infants to track transitional probabilities (Statistical Learning—SL) and to extract and generalize high-order rules (Rule Learning—RL) from sequences of items have been proposed as being pivotal for the acquisition of language and reading skills. Although there is ample evidence of specific associations between SL and RL abilities and, respectively, vocabulary and grammar skills, research exploring SL and RL as early markers of language and learning (dis)abilities is still scarce. Here we investigated the efficiency of visual SL and RL skills in typically developing (TD) seven-month-old infants and in seven-month-old infants at high risk (HR) for language learning impairment. Infants were tested in two visual-habituation tasks aimed to measure their ability to extract transitional probabilities (SL task) or high-order, repetition-based rules (RL task) from sequences of visual shapes. Post-habituation looking time preferences revealed that both TD and HR infants succeeded in learning the statistical structure (SL task), while only TD infants, but not HR infants, were able to learn and generalize the high-order rule (RL task). These findings suggest that SL and RL may contribute differently to the emergence of language learning impairment and support the hypothesis that a mechanism linked to the extraction of grammar structures may contribute to the disorder.

Suggested Citation

  • Roberta Bettoni & Chiara Cantiani & Valentina Riva & Massimo Molteni & Viola Macchi Cassia & Hermann Bulf, 2022. "Visual Implicit Learning Abilities in Infants at Familial Risk for Language and Learning Impairments," IJERPH, MDPI, vol. 19(3), pages 1-17, February.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1877-:d:744148
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/3/1877/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/3/1877/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Helen Shiyang Lu & Toben H Mintz, 2021. "Learning non-adjacent rules and non-adjacent dependencies from human actions in 9-month-old infants," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-23, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1877-:d:744148. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.