Recent neuroscience data underpin the "Brain-Based Learning" method
Keywords:
Neurosciences, Learning, Brain-based learningAbstract
Neuroscience is essential for understanding learning and memory, but little is known about its application in education. The Brain-Based Learning methods present brain based technics used in order to improve learning, but this approach has not been appropriately divulgated in the Pedagogy and Psychopedagogy areas. Here, we revise the principles of Brain-Based Learning and correlate to recent data of Neuroscience. The principal aim of this review article is present the Neuroscience new insights and correlate to the pedagogic praxis. In this work, we show that the neural plasticity is crucial for the learning and it occurs in all ages of humans. Here, the motivation, including molecular studies of the effect of reward and reinforcement, is related to the learning. This article shows studies about stress, where moderate stress improves learning, in opposition to the current opinion. In school lessons, the use of technics with various sensory accesses, for example, audio, visual and textual presentations, is very common. This approach has been confirmed by scientific studies, which show that multisensory congruent stimulus improve the learning. The basic principles of the Brain-Based Learning are related to the most recent data in neuroscience, as shown here. The expected outcome of this work is to contribute for the modus operandi of the Pedagogy in such way that the students and their cerebral functioning are the principal point in order to learning become more pleasant and efficient.
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References
Hart LA. Human brain and human learning. 3rd ed. Covington: Books for Educators; 2002.
Griz MGS. Psicopedagogia: um conhecimento em contínuo processo de construção. São Paulo: Casa do Psicólogo; 2009.
Guyton AC, Hall JE. Fisiologia médica. 11a ed. Rio de Janeiro: Elsevier; 2006.
Squire LR. Memory and brain systems: 1969-2009. J Neurosci. 2009;29(41):12711-6.
Barrett K, Brooks H, Boitano S, Barman S. Ganong’s review of medical Physiology. 23rd ed. New York: McGraw Hill Lange; 2010.
Kandel ER. The biology of memory: a forty-year perspective. J Neurosci. 2009;29(41):12748-56.
Gelbard-Sagiv H, Mukamel R, Harel M, Malach R, Fried I. Internally generated reactivation of single neurons in human hippocampus during free recall. Science. 2008;322:96-101.
Mayford M, Siegelbaum SAE, Kandel ER. Synapses and memory storage. Cold Spring Harb Perspect Biol. 2012;4(6). Disponível em: http://cshperspectives.cshlp.org/. Acesso em: 23/9/2014.
Cavallini E, Bottiroli S, Capotosto E, Beni R, Pavan G, Vecchi T, et al. Self-help memory training for healthy older adults in a residential care center: specific and transfer effects on performance and beliefs. Int J Geriatr Psychiatry. 2014. doi: 10.1002/gps.4230.
Weiss MLL. Psicopedagogia clínica: uma visão diagnóstica dos problemas de aprendizagem escolar. 14ª Edição. Ed. Lamparina. 2012.
Fields HL, Hjelmstad GO, Margolis EB, Nicola SM. Ventral tegmental area neurons in learned appetitive behavior and positive reinforcement. Annu Rev Neurosci. 2007;30:289-316.
Rebola N, Srikumar BN, Mulle C. Activity-dependent synaptic plasticity of NMDA receptors. J Physiol. 2010;588(1):93-9.
Shigemune Y, Abe N, Suzuki M, Ueno A, Mori E, Tashiro M, et al. Effects of emotion and reward motivation on neural correlates of episodic memory encoding: a PET study. Neurosci Res. 2010;67:72-9.
Frank LM, Stanleu GB, Brown EN. Hippocampal plasticity across multiple days of exposure to novel environments. J. Neurosci. 2004;24(35):7681-9.
Miller JF, Neufang M, Solway A, Brandt A, Trippel M, Mader I, et al. Neural activity in human hippocampal formation reveals the spatial context of retrieved memories. Science. 2013;342(6162):1111-4.
Roozendaal B, Mcewen BS, Chattarji S. Stress, memory and the amygdala. Nat Rev Neurosci. 2009;10(6):423-33.
Qin S, Hermans EJ, van Marle HJF, Fernández G. Understanding low reliability of memories for neutral information encoded under stress: alterations in memory-related activation in the hippocampus and midbrain. J Neurosci. 2012;32(12):4032-41.
Bos MGN, Schuijer J, Lodestijn F, Beckers T, Kindt M. Stress enhances reconsolidation of declarative memory. Psychoneuroendocrinology. 2014;46:102-3.
Tubon TC Jr., Zhang J, Friedman EL, Jin H, Gonzales ED, Zhou H, et al. dCREB2-mediated enhancement of memory formation. J Neurosci. 2013;33(17):7475-87.
Alberini CM. Transcription factors in long-term memory and synaptic plasticity. Physiol Rev. 2009;89:121-45.
Heikkilä J, Alho K, Hyvönen H, Tiippana K. Audiovisual semantic congruency during encoding enhances memory performance. Exp Psychol. 2014;10:1-8.
Thelen A, Murray MM. The efficacy of single-trial multisensory memories. Multisens Res. 2013;26(5):483-502.
Wilson L. Brain-based education: an overview. Disponível em: http://thesecondprinciple.com/optimal-learning/brainbased-education-an-overview/ Acesso em: 23/9/2014.
Caine G, Nummela-Caine R, Crowell S. Mind shifts: a brain-based process for restructuring schools and renewing education. 2nd ed. Tucson: Zephyr Press; 1999.
Caine RN, Caine G, Mcclintic CE, Klimek K. 12 brain/mind learning principles in action: developing executive functions of the human brain. 2nd ed. Thousand Oaks: Corwin Press; 2009.
Raij T, Karhu J, Kicić D, Lioumis P, Julkunen P, Lin FH, et al. Parallel input makes the brain run faster. Neuroimage. 2008;40(4):1792-7.
Leal SL, Tighe SK, Yassa MA. Asymmetric effects of emotion on mnemonic interference. Neurobiol Learn Mem. 2014;111:41-8.
Thelen A, Murray MM. The efficacy of single-trial multisensory memories. Multisens Res. 2013;26(5):483-502.
Miller JF, Neufang M, Solway A, Brandt A, Trippel M, Mader I, et al. Neural activity in human hippocampal formation reveals the spatial context of retrieved memories. Science. 2013;342(6162):1111-4.
Bahar AS, Shapiro ML. Remembering to learn: independent place and journey coding mechanisms contribute to memory transfer. J Neurosci. 2012;32(6):2191-203.
Schacher S, Hu J-Y. The less things change, the more they are different: contributions of long-term synaptic plasticity and homeostasis to memory. Learn Mem. 2014;21(3):128-34.
Gandini D, Lemaire P, Anton JL, Nazarian B. Neural correlates of approximate quantification strategies in young and older adults: an fMRI study. Brain Res. 2008;1246:144-57.
Pedreira C, Mormann F, Kraskov A, Cerf M, Fried I, Koch CE, et al. Responses of human medial temporal lobe neurons are modulated by stimulus repetition. J Neurophysiol. 2010;103:97-107.
Mittner M, Behrendt J, Menge U, Titz C, Hasselhorn M. Response-retrieval in identity negative priming is modulated by temporal discriminability. Front Psychol. 2014;20(5): doi: 10.3389/fpsyg.2014.00621.
Morais S. Planejamento educativo. E-Book publicado online pela Cognare: Disponível em: http://cognareconsulting.wix.com/instituto-cognare. Acesso em: 27/9/2014.
Friedlander MJ, Andrews L, Armstrong EG, Aschenbrenner C, Kass JS, Ogden P, et al. What can medical education learn from the neurobiology of learning? Academic Medicine. 2011;86(4):415-20.
Vidyasagar R, Stancak A, Parkes LM. A multimodal brain imaging study of repetition suppression in the human visual cortex. Neuroimage. 2010;49:1612-21.
Kawamichi H, Kikuchi Y, Noriuchi M, Senoo A, Ueno S. Distinct neural correlates underlying two- and three-dimensional mental rotations using three-dimensional objects. Brain Res. 2007;1144:117-26.
Baumann O, Chan E, Mattingley JB. Dissociable neural circuits for encoding and retrieval of object locations during active navigation in humans. Neuroimage. 2010;49:2816-25.
Diekelmann S, Born J. The memory function of sleep. Nat Rev Neurosci. 2010;11:114-26.
Mishra J, Zanto T, Nilakantan A, Gazzaley A. Comparable mechanisms of working memory interference by auditory and visual motion in youth and aging. Neuropsychol. 2013;51(10):1896-906.
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Copyright (c) 2014 Angela Souza da Fonseca Ramos
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