Literature DB >> 26872396

Invited commentary: Differential learning is different from contextual interference learning.

Wolfgang Immanuel Schöllhorn1.   

Abstract

There has been renewed interest in the detailed structure of what is learned and the boundary conditions that foster motor learning. The accompanying article by Hossner et al. (2016), particularly their findings about augmented feedback in the context of different levels of additional noise, is consistent with this focus. Unfortunately, the findings from Hossner and colleagues appear to be based on incorrect interpretations of the differential learning (DL) approach. Essential discrepancies in the experimental conditions suggest the basis for the deviating results obtained in comparison to those of the original DL experiments. In this comment, it is also shown that the author's assumptions and interpretations underlying CI and the DL approaches obscure crucial problems and contradictions of classical learning theory.
Copyright © 2016. Published by Elsevier B.V.

Mesh:

Year:  2016        PMID: 26872396     DOI: 10.1016/j.humov.2015.11.018

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  6 in total

1.  Learning a specific, individual and generalizable coordination function: evaluating the variability of practice hypothesis in motor learning.

Authors:  Matheus M Pacheco; Karl M Newell
Journal:  Exp Brain Res       Date:  2018-09-22       Impact factor: 1.972

2.  Post-task Effects on EEG Brain Activity Differ for Various Differential Learning and Contextual Interference Protocols.

Authors:  Diana Henz; Alexander John; Christian Merz; Wolfgang I Schöllhorn
Journal:  Front Hum Neurosci       Date:  2018-01-31       Impact factor: 3.169

3.  The Effect of Differential Repeated Sprint Training on Physical Performance in Female Basketball Players: A Pilot Study.

Authors:  Jorge Arede; Sogand Poureghbali; Tomás Freitas; John Fernandes; Wolfgang I Schöllhorn; Nuno Leite
Journal:  Int J Environ Res Public Health       Date:  2021-11-30       Impact factor: 3.390

4.  Acute Effects of Various Movement Noise in Differential Learning of Rope Skipping on Brain and Heart Recovery Analyzed by Means of Multiscale Fuzzy Measure Entropy.

Authors:  Alexander Thomas John; Anna Barthel; Johanna Wind; Nikolas Rizzi; Wolfgang Immanuel Schöllhorn
Journal:  Front Behav Neurosci       Date:  2022-02-25       Impact factor: 3.558

5.  Learning Multiple Movements in Parallel-Accurately and in Random Order, or Each with Added Noise?

Authors:  Julius B Apidogo; Johannes Burdack; Wolfgang I Schöllhorn
Journal:  Int J Environ Res Public Health       Date:  2022-09-02       Impact factor: 4.614

Review 6.  Always Pay Attention to Which Model of Motor Learning You Are Using.

Authors:  Wolfgang I Schöllhorn; Nikolas Rizzi; Agnė Slapšinskaitė-Dackevičienė; Nuno Leite
Journal:  Int J Environ Res Public Health       Date:  2022-01-09       Impact factor: 3.390

  6 in total

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