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Diversity, Individualization, and Enhancement in Motor Learning: Current Challenges and Future Directions From the First Theoretical and Applied Advances in Motor Learning Conference

  • Russell W. Chan*
  • , Elger Abrahamse
  • , Klaus Blischke
  • , Raoul M. Bongers
  • , Arnaud Boutin
  • , Friedhelm C. Hummel
  • , Maarten A. Immink
  • , Katja Kornysheva
  • , Rob H.J. van der Lubbe
  • , Pablo Maceira
  • , Stefan Panzer
  • , Marit F.L. Ruitenberg
  • , Andreea I. Sburlea
  • , Rachael Seidler
  • , Jordan A. Taylor
  • , David L. Wright
  • , Willem B. Verwey
  • *Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

Abstract

The field of motor learning faces a critical gap between foundational theory and real-world application. This editorial synthesizes expert discussions from the First Theoretical and Applied Advances in Motor Learning Conference to address key issues impeding further progress. We are hampered by the science of “averages,” characterized by an overreliance on data from homogenous, Western, educated, industrialized, rich, and democratic populations and a flawed assumption of cognitive uniformity. This approach masks critical individual differences, limiting the translational potential of our science and leading to one-size-fits-all enhancement strategies. We propose a multitiered roadmap for the maturation of our field. The foundational priorities are structural: embracing co-creation with diverse communities; moving beyond Western, Educated, Industrialized, Rich, and Democratic science; and implementing structured mentorship and active sponsorship to empower a new generation of scholars. Building on this, we advocate for technology-driven individualization like using advanced Mobile Brain/Body Imaging techniques for the development of neurophenotypes, to fulfill the potential of Brain–Computer Interfaces. Finally, we call for a precision-enhancement framework, shifting from “learning boosters” to a diagnostic-to-prescriptive model that targets specific, identified bottlenecks. This roadmap allows our field to build upon its foundational principles to create a more effective, accessible, and equitable motor learning science for all.

Original languageEnglish
Article numberjmld.2025-0133
Number of pages5
JournalJournal of Motor Learning and Development
Volume14
Issue number1
Early online date30 Dec 2025
DOIs
Publication statusPublished - Jan 2026

Keywords

  • 2026 OA procedure
  • Co-creation
  • Precision rehabilitation
  • Ecological validity
  • Brain-computer interface
  • Neurophenotyping

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