IDEAS home Printed from https://ideas.repec.org/a/eee/intell/v86y2021ics016028962100026x.html
   My bibliography  Save this article

Intelligence matters for stochastic feedback processing during sequence learning in adolescents and young adults

Author

Listed:
  • Lange-Küttner, Christiane
  • Averbeck, Bruno B.
  • Hentschel, Maren
  • Baumbach, Jan

Abstract

The ability to effectively handle partly false feedback is an important skill because it can disrupt an already mastered ability. An instant and drastic deterioration occurred in 8- to 11-year-old children's sequence learning of four left-right button presses from close to ceiling performance with 100% deterministic feedback to about 30% accuracy when they encountered stochastic feedback that was only 85% correct and 15% randomly false (Lange-Küttner et al., 2012). However, children's performance recovered in repeated trials, but only after positive feedback even if it was false. The present study investigates whether this deterioration and recovery from partly false feedback still occurs in adolescents and young adults. We tested whether coping with partly false feedback is dependent on intelligence with the Raven Standard Progressive Matrices Test, or rather occurs because of better developed coping and defending in the social domain with the Cognitive Emotional Regulation Questionnaire (CERQ). In a sample of N = 75 adolescents from 13 years onwards until young adulthood, cognitive performance was low when encountering stochastic feedback, at 55.5% accuracy on average, but improved during repetitions. Intelligence was more important than emotional coping for successful processing of stochastic, partly false feedback. Also in adolescence and young adulthood, positive feedback appeared to support perseverance as it yielded significantly more recovery than negative feedback. Coping was not needed for recovery from partly false or negative feedback, but there were some rare cases of high intelligence and low positive coping skills with exceptionally low sequencing performance.

Suggested Citation

  • Lange-Küttner, Christiane & Averbeck, Bruno B. & Hentschel, Maren & Baumbach, Jan, 2021. "Intelligence matters for stochastic feedback processing during sequence learning in adolescents and young adults," Intelligence, Elsevier, vol. 86(C).
  • Handle: RePEc:eee:intell:v:86:y:2021:i:c:s016028962100026x
    DOI: 10.1016/j.intell.2021.101542
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S016028962100026X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.intell.2021.101542?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Karpinski, Ruth I. & Kinase Kolb, Audrey M. & Tetreault, Nicole A. & Borowski, Thomas B., 2018. "High intelligence: A risk factor for psychological and physiological overexcitabilities," Intelligence, Elsevier, vol. 66(C), pages 8-23.
    2. Jastrzębski, Jan & Ociepka, Michał & Chuderski, Adam, 2020. "Fluid reasoning is equivalent to relation processing," Intelligence, Elsevier, vol. 82(C).
    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.
    1. Cornoldi, Cesare & Giofrè, David & Toffalini, Enrico, 2023. "Cognitive characteristics of intellectually gifted children with a diagnosis of ADHD," Intelligence, Elsevier, vol. 97(C).
    2. Guez, Ava & Peyre, Hugo & Le Cam, Marion & Gauvrit, Nicolas & Ramus, Franck, 2018. "Are high-IQ students more at risk of school failure?," Intelligence, Elsevier, vol. 71(C), pages 32-40.
    3. Mark Anderson, D. & Diris, Ron & Montizaan, Raymond & Rees, Daniel I., 2023. "The effects of becoming a physician on prescription drug use and mental health treatment," Journal of Health Economics, Elsevier, vol. 91(C).
    4. Demetriou, Andreas & Mougi, Antigoni & Spanoudis, George & Makris, Nicolaos, 2022. "Changing developmental priorities between executive functions, working memory, and reasoning in the formation of g from 6 to 12 years," Intelligence, Elsevier, vol. 90(C).
    5. Simone Balestra & Aurélien Sallin & Stefan C. Wolter, 2023. "High-Ability Influencers? The Heterogeneous Effects of Gifted Classmates," Journal of Human Resources, University of Wisconsin Press, vol. 58(2), pages 633-665.
    6. Demetriou, Andreas & Golino, Hudson & Spanoudis, George & Makris, Nikolaos & Greiff, Samuel, 2021. "The future of intelligence: The central meaning-making unit of intelligence in the mind, the brain, and artificial intelligence," Intelligence, Elsevier, vol. 87(C).
    7. Shevchenko, Victoria & Labouret, Ghislaine & Guez, Ava & Côté, Sylvana & Heude, Barbara & Peyre, Hugo & Ramus, Franck, 2023. "Relations between intelligence index score discrepancies and psychopathology symptoms in the EDEN mother-child birth cohort," Intelligence, Elsevier, vol. 98(C).
    8. Bruton, Oliver J., 2021. "Is there a “g-neuron”? Establishing a systematic link between general intelligence (g) and the von Economo neuron," Intelligence, Elsevier, vol. 86(C).
    9. Aniel Jessica Leticia Brambila-Tapia & Aris Judit Miranda-Lavastida & Nancy Araceli Vázquez-Sánchez & Nancy Lizbeth Franco-López & Martha Catalina Pérez-González & Gonzalo Nava-Bustos & Francisco José, 2022. "Association of Health and Psychological Factors with Academic Achievement and Non-Verbal Intelligence in University Students with Low Academic Performance: The Influence of Sex," IJERPH, MDPI, vol. 19(8), pages 1-12, April.

    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:eee:intell:v:86:y:2021:i:c:s016028962100026x. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    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.