Literature DB >> 16558681

Brain-compatible learning: principles and applications in athletic training.

Debbie I Craig1.   

Abstract

OBJECTIVE: To discuss the principles of brain-compatible learning research and provide insights into how this research may be applied in athletic training education to benefit the profession.
BACKGROUND: In the past decade, new brain-imaging techniques have allowed us to observe the brain while it is learning. The field of neuroscience has produced a body of empirical data that provides a new understanding of how we learn. This body of data has implications in education, although the direct study of these implications is in its infancy. DESCRIPTION: An overview of how the brain learns at a cellular level is provided, followed by a discussion of the principles of brain-compatible learning. Applications of these principles and implications for the field of athletic training education are also offered. APPLICATION: Many educational-reform fads have garnered attention in the past. Brain-compatible learning will not likely be one of those, as its origin is in neuroscience, not education. Brain-compatible learning is not an educational-reform movement. It does not prescribe how to run your classroom or offer specific techniques to use. Rather, it provides empirical data about how the brain learns and suggests guidelines to be considered while preparing lessons for your students. These guidelines may be incorporated into every educational setting, with every type of curriculum and every age group. The field of athletic training lends itself well to many of the basic principles of brain-compatible learning.

Year:  2003        PMID: 16558681      PMCID: PMC314395     

Source DB:  PubMed          Journal:  J Athl Train        ISSN: 1062-6050            Impact factor:   2.860


  11 in total

1.  Evidence-based education: development of an instrument to critically appraise reports of educational interventions.

Authors:  J M Morrison; F Sullivan; E Murray; B Jolly
Journal:  Med Educ       Date:  1999-12       Impact factor: 6.251

2.  Effective neuronal learning with ineffective Hebbian learning rules.

Authors:  G Chechik; I Meilijson; E Ruppin
Journal:  Neural Comput       Date:  2001-04       Impact factor: 2.026

3.  Differential learning-stage dependent patterns of c-Fos protein expression in brain regions during the acquisition and memory consolidation of an operant task in mice.

Authors:  V Bertaina-Anglade; G Tramu; C Destrade
Journal:  Eur J Neurosci       Date:  2000-10       Impact factor: 3.386

4.  Integration of neuroscience and endocrinology in hybrid PBL curriculum.

Authors:  J T Cunningham; R H Freeman; M C Hosokawa
Journal:  Adv Physiol Educ       Date:  2001-12       Impact factor: 2.288

5.  Effects of practice on executive control investigated with fMRI.

Authors:  D H Weissman; M G Woldorff; C J Hazlett; G R Mangun
Journal:  Brain Res Cogn Brain Res       Date:  2002-12

6.  Development of the cerebral cortex: XIV. Stress impairs prefrontal cortical function.

Authors:  A F Arnsten
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  1999-02       Impact factor: 8.829

Review 7.  Development of the cerebral cortex: XII. Stress and brain development: I.

Authors:  P J Lombroso; R Sapolsky
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  1998-12       Impact factor: 8.829

8.  An outline of the role of brain in human cognitive development.

Authors:  H T Epstein
Journal:  Brain Cogn       Date:  2001-02       Impact factor: 2.310

9.  Contrasting cortical and subcortical activations produced by attentional-set shifting and reversal learning in humans.

Authors:  R D Rogers; T C Andrews; P M Grasby; D J Brooks; T W Robbins
Journal:  J Cogn Neurosci       Date:  2000-01       Impact factor: 3.225

Review 10.  Imaging cognition II: An empirical review of 275 PET and fMRI studies.

Authors:  R Cabeza; L Nyberg
Journal:  J Cogn Neurosci       Date:  2000-01       Impact factor: 3.225

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.