The Mathematical Brain, Neuro-Didactic Strategies to Learn Mathematics
Abstract
This descriptive research paper analyzes the neuro-didactic strategies employed by both teachers and students in the process of learning and teaching mathematics. The teacher's perspective focuses on the act of teaching, while the student's perspective revolves around the act of learning. Strategies are derived from insights into learning and development drawn from neuroscience and the brain's capacity for learning, incorporating four learning theories— Guildford, Thurstone, Gardner, and Stanislas—which intertwine to shape the mathematical brain. Moreover, the theories are elucidated, and strategies for problem-solving and teaching are extracted to enhance the effectiveness of learning in students' minds.
References
Ansari, D. (2016). The neural roots of mathematical expertise. PNAS, 113(18), 4887-4889.
Araya, P. et al. (2019). Pensamiento matematico creativo en aulas de ensenanza primaria: entornos didacticos que posibilitan su desarrollo (Creative Mathematical Thinking in Elementary Classrooms: Didactic Environments That Enable Its Development). Calidad en la Educación, 50, 319-356.
Boscan, A. (2011). Modelo didactico basado en las neurociencias para la ensenanza de las ciencias naturales (Didactic Model Based on Neurosciences for the Teaching of Natural Sciences). Venezuela.
Carlota, G. & Benavides, J. (2020) Estrategias neurodidacticas en el proceso ensenanza aprendizaje de educacion basica (Neurodidactic Strategies in the Teaching and Learning Process of Elementary Education). ReHuSo: Revista de Ciencias Humanísticas y Sociales, 6(1), 72-81.
Carrasco, M. (2015). ¿Como aprendemos desde la neurociencia? La neuro-pedagogia y el impacto en el aula de clase (How Do We Learn from Neuroscience? Neuro-Pedagogy and the Impact on the Classroom). Education, 21, 20-24. Retrieved from http://revistas.unife.edu.pe/index.php/educacion/article/download/1048/961
Castillo, M. (2013). Fracaso escolar en matematicas en el primer ciclo de educacion basica. (School Failure in Mathematics in the First Cycle of Elementary Education). Proyect FES/ Education.
Dehaene, S. (2016). El cerebro matematico: Como nacen, viven y a veces mueren los numeros en nuestra mente (The Mathematical Brain: How Numbers are Born, Live, and Sometimes Die in Our Minds). Buenos Aires: Siglo Veintiuno.
Díaz-Pinzón, J. E. (2021). Taxonomías para la evaluación (Taxonomies for evaluation). Revista de Investigaciones Universidad del Quindío, 33(2), 248-253.
Dominguez-Lara, S. & Campos-Uscanga, Y. (2017). Influencia de la satisfaccion con los estudios sobre la procrastinacion academica en estudiantes de psicologia: un estudio preliminar (Influence of Study Satisfaction on Academic Procrastination Among Psychology Students: A Preliminary Study). Liberabit, 23(1), 123-135. doi:10.24265/liberabit.2017.v23n1.09
Ekuatio (2020), La creatividad para fomentar en pensamiento matematico en los ninos (Fostering Mathematical Thinking in Children Through Creativity). Universidad de Barcelona, Spain.
Fernandez, C. (2013). Principales dificultades en el aprendizaje de las Matematicas. Pautas para maestros de Educacion Primaria (Main difficulties in the learning of Mathematics. Guidelines for teachers of Elementary Education) Thesis. Universidad Internacional de la Rioja.
Gardner, H. (2006). Multiple Intelligences: New Horizons in Theory and Practice. Basic Books.
Gonzalez, J., Nunz, J., Alvares, L., et al. (2003). ¿Como explicar tanto fracaso en el aprendizaje de las matematicas? Psicologia y Educacion (Explaining the Prevalence of Mathematics Learning Failure: Insights from Psychology and Education). Revista Galego-Portuguesa de Psicoloxía e Educación, 8(10), 349-358.
Guilford, J.P. (1977). La naturaleza de la inteligencia humana (The Nature of Human Intelligence). Buenos Aires, Paidos.
Hernan Gomez, L. & Fernandez, C. (2012). Psicologia de la personalidad y diferencial (Personality and Differential Psychology). Manual CEDE de Preparacion PIR, 07. CEDE: Madrid.
Lugo, J., Vilchez, O. & Romero, L. (2019) Didactica y desarrollo del pensamiento logico matematico. Un abordaje hermeneutico desde el escenario de la educacion inicial (Didactics and Mathematical-Logical Thinking Development: A Hermeneutic Approach in Early Education Settings). Logos, Ciencia y tecnologia, 11, 18-29.
Machicado, M. (2015). Neurodidactica como estrategia para mejorar el aprendizaje de los estudiantes de las sedes academicas de la carrera de ciencias de la educacion de la U.P.E.A (Neurodidactics as a Strategy to Enhance Students' Learning in the Academic Fields of Educational Sciences at U.P.E.A.) (Master’s Thesis). Retrieved from: https://repositorio.umsa.bo/bitstream/handle/123456789/14138/TM172.pdf?sequence=4_is Allowed
Mora, F. (2021). Neuro-educacion, solo se puede aprender lo que se ama (Neuroeducation: Learning What You Love and the Role of Passion) Adit. Alianza, Madrid, Spain.
Nadel, L. et al. (2012). Memory formation, consolidation, and transformation. Neuroscience & Biobehavioral Reviews, 36(7), 1640-1645.
Orrantia, J. (2006). Dificultades en el aprendizaje de las matematicas una perspectiva evolutiva (Difficulties in Learning Mathematics from a Developmental Perspective). Psychopedagogy Journal, 23(71), 158-180.
Santiago, H., Maroto, A. & Palacios, A. (2004). ¿Por que se rechazan las matematicas? ¿Analisis evolutivo y multivariante de actitudes relevantes hacia las matematicas? (Why are Mathematics Rejected: An Evolutionary and Multivariate Analysis of Attitudes toward Mathematics). Revista de educación, 334, 75-95.
Thurstone, L. L. (1938). Primary mental abilities. Chicago: University of Chicago Press.
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