IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i2p711-d720747.html
   My bibliography  Save this article

Always Pay Attention to Which Model of Motor Learning You Are Using

Author

Listed:
  • Wolfgang I. Schöllhorn

    (Department of Training and Movement Science, Institute of Sport Science, Johannes Gutenberg-University Mainz, 55099 Mainz, Germany)

  • Nikolas Rizzi

    (Department of Training and Movement Science, Institute of Sport Science, Johannes Gutenberg-University Mainz, 55099 Mainz, Germany)

  • Agnė Slapšinskaitė-Dackevičienė

    (Department of Sports Medicine, Faculty of Nursing, Medical Academy, Lithuanian University of Health Sciences, Tilžės g. 18, 47181 Kaunas, Lithuania)

  • Nuno Leite

    (Reseach Center in Sports Sciences, Health Sciences and Human Development (CIDESD), Department of Sport Sciences, Exercise and Health, University of Trás-os-Montes and Alto Douro, 5001-801 Vila Real, Portugal)

Abstract

This critical review considers the epistemological and historical background of the theoretical construct of motor learning for a more differentiated understanding. More than simply reflecting critically on the models that are used to solve problems—whether they are applied in therapy, physical education, or training practice—this review seeks to respond constructively to the recent discussion caused by the replication crisis in life sciences. To this end, an in-depth review of contemporary motor learning approaches is provided, with a pragmatism-oriented clarification of the researcher’s intentions on fundamentals (what?), subjects (for whom?), time intervals (when?), and purpose (for what?). The complexity in which the processes of movement acquisition, learning, and refinement take place removes their predictable and linear character and therefore, from an applied point of view, invites a great deal of caution when trying to make generalization claims. Particularly when we attempt to understand and study these phenomena in unpredictable and dynamic contexts, it is recommended that scientists and practitioners seek to better understand the central role that the individual and their situatedness plays in the system. In this way, we will be closer to making a meaningful and authentic contribution to the advancement of knowledge, and not merely for the sake of renaming inventions.

Suggested Citation

  • Wolfgang I. Schöllhorn & Nikolas Rizzi & Agnė Slapšinskaitė-Dackevičienė & Nuno Leite, 2022. "Always Pay Attention to Which Model of Motor Learning You Are Using," IJERPH, MDPI, vol. 19(2), pages 1-36, January.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:2:p:711-:d:720747
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/2/711/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/2/711/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jörg M. J♀ger & Jürgen Perl & I. Wolfgang Schöllhorn, 2007. "Analysis of players’ configurations by means of artificial neural networks," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 7(3), pages 90-105, October.
    2. Sogand Poureghbali & Jorge Arede & Kathrin Rehfeld & Wolfgang Schöllhorn & Nuno Leite, 2020. "Want to Impact Physical, Technical, and Tactical Performance during Basketball Small-Sided Games in Youth Athletes? Try Differential Learning Beforehand," IJERPH, MDPI, vol. 17(24), pages 1-12, December.
    3. Rollin McCraty & Mike Atkinson & Viktor Stolc & Abdullah A. Alabdulgader & Alfonsas Vainoras & Minvydas Ragulskis, 2017. "Synchronization of Human Autonomic Nervous System Rhythms with Geomagnetic Activity in Human Subjects," IJERPH, MDPI, vol. 14(7), pages 1-18, July.
    4. Christopher J Hasson & Zhaoran Zhang & Masaki O Abe & Dagmar Sternad, 2016. "Neuromotor Noise Is Malleable by Amplifying Perceived Errors," PLOS Computational Biology, Public Library of Science, vol. 12(8), pages 1-28, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Johannes Burdack & Wolfgang I. Schöllhorn, 2022. "Cognitive Enhancement through Differential Rope Skipping after Math Lesson," IJERPH, MDPI, vol. 20(1), pages 1-20, December.
    2. Miguel Valença & Diogo Coutinho & Wolfgang Schöllhorn & Nélson Ribeiro & Sara Santos, 2022. "Investigating the Effects of Differential Learning on Golfers’ Pitching Performance as a Function of Handicap," IJERPH, MDPI, vol. 19(19), pages 1-18, October.
    3. Julius B. Apidogo & Johannes Burdack & Wolfgang I. Schöllhorn, 2022. "Learning Multiple Movements in Parallel—Accurately and in Random Order, or Each with Added Noise?," IJERPH, MDPI, vol. 19(17), pages 1-20, September.
    4. Alejandro Gutiérrez-Capote & Iker Madinabeitia & Elisa Torre & Francisco Alarcón & Jesús Jiménez-Martínez & David Cárdenas, 2023. "Changes in Perceived Mental Load and Motor Performance during Practice-to-Learn and Practice-to-Maintain in Basketball," IJERPH, MDPI, vol. 20(5), pages 1-20, March.
    5. Hadi Abbaszadeh Ghanati & Amir Letafatkar & Sadredin Shojaedin & Malihe Hadadnezhad & Wolfgang I. Schöllhorn, 2022. "Comparing the Effects of Differential Learning, Self-Controlled Feedback, and External Focus of Attention Training on Biomechanical Risk Factors of Anterior Cruciate Ligament (ACL) in Athletes: A Rand," IJERPH, MDPI, vol. 19(16), pages 1-15, August.

    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. Jack Brookes & Faisal Mushtaq & Earle Jamieson & Aaron J Fath & Geoffrey Bingham & Peter Culmer & Richard M Wilkie & Mark Mon-Williams, 2020. "Exploring disturbance as a force for good in motor learning," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-21, May.
    2. Stephen D. Edwards, 2019. "Empirical and Heuristic Phenomenological Case Study of the HeartMath Global Coherence Initiative," IJERPH, MDPI, vol. 16(7), pages 1-16, April.
    3. Miguel Valença & Diogo Coutinho & Wolfgang Schöllhorn & Nélson Ribeiro & Sara Santos, 2022. "Investigating the Effects of Differential Learning on Golfers’ Pitching Performance as a Function of Handicap," IJERPH, MDPI, vol. 19(19), pages 1-18, October.
    4. Gediminas Jaruševičius & Tautvydas Rugelis & Rollin McCraty & Mantas Landauskas & Kristina Berškienė & Alfonsas Vainoras, 2018. "Correlation between Changes in Local Earth’s Magnetic Field and Cases of Acute Myocardial Infarction," IJERPH, MDPI, vol. 15(3), pages 1-12, February.
    5. Inga Timofejeva & Rollin McCraty & Mike Atkinson & Roza Joffe & Alfonsas Vainoras & Abdullah A. Alabdulgader & Minvydas Ragulskis, 2017. "Identification of a Group’s Physiological Synchronization with Earth’s Magnetic Field," IJERPH, MDPI, vol. 14(9), pages 1-22, September.
    6. Germaine Cornelissen Guillaume & Denis Gubin & Larry A Beaty & Kuniaki Otsuka, 2020. "Some Near- and Far-Environmental Effects on Human Health and Disease with a Focus on the Cardiovascular System," IJERPH, MDPI, vol. 17(9), pages 1-16, April.
    7. Julius B. Apidogo & Johannes Burdack & Wolfgang I. Schöllhorn, 2021. "Repetition without Repetition or Differential Learning of Multiple Techniques in Volleyball?," IJERPH, MDPI, vol. 18(19), pages 1-17, October.

    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:2:p:711-:d:720747. 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.