Neuroeducación infantil temprana: integrando la neurociencia al proceso de aprendizaje en la primera infancia: una revisión sistemática
DOI:
https://doi.org/10.35756/educaumch.202424.294Palabras clave:
Neurociencias, proceso de enseñanza, aprendizajeResumen
El objetivo del estudio fue analizarla importancia de la neurociencia en Iberoamérica para el proceso de la enseñanza-aprendizaje en la etapa preescolar. Se realizó una revisión sistemática narrativa en las bases de datos SciELO, Redalyc, Dialnet, REDIB y la revista Latinoamericana de Educación Infantil (RELAdEI), utilizando como criterio de búsqueda las palabras neurociencia, proceso de aprendizaje, neuroeducación desde 2018hasta2023. La revisión se centró principalmente en artículos publicados entre 2019 y 2023 (94%), reflejando un enfoque muy actualizado sobre la neuroeducación infantil. El año con más aportes fue 2019 (26%), seguido de cerca por 2021 (24%). Este conjunto de datos permite analizar el estado del arte reciente sobre la integración de neurociencia en el proceso de enseñanza-aprendizaje temprano en América Latina. Se evidencia el creciente interés investigativo en esta síntesis emergente de disciplinas para potenciar la pedagogía. Se concluyó la integración progresiva de la neurociencia a las prácticas pedagógicas de la primera infancia. El análisis de la producción científica reciente a partir de 2019 constata el vertiginoso incremento de investigaciones sobre la aplicación de conocimientos neurobiológicos para transformar y potenciar los procesos de enseñanza-aprendizaje temprano.Descargas
Referencias
Aubin, S. (2021). Musical perception and teaching-learning of French language-culture: Some acoustic and neuroscientific elements for the French music teacher. XL inguae, 14(4), 51-64. https://doi.org/10.18355/XL.2021.14.04.04
Brockington, G. (2018). From the laboratory to the classroom: The potential of functional near-infrared spectroscopy in educational neuroscience. Frontiers in Psychology, 9, Article 1840. https://doi.org/10.3389/fpsyg.2018.01840
Butavand, D. (2020). Novelty Improves the Formation and Persistence of Memory in a Naturalistic School Scenario. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.00048
Chang, Z. (2021). Neuroscience Concepts Changed Teachers’ Views of Pedagogy and Students. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.685856
Davidesco, I. (2021). Neuroscience Research in the Classroom: Portable Brain Technologies in Education Research. Educational Researcher, 50(9), 649-656. https://doi.org/10.3102/0013189X211031563
Díaz, M. (2021). Fundamentals of universal design for learning from an international perspective. Revista Brasileira de Educacao Especial, 27, 269-284. https://doi.org/10.1590/1980-54702021v27e0065
Doukakis, S. (2021). Exploring educational practices in emergency remote teaching. The role of educational neuroscience. IEEE Global Engineering Education Conference, EDUCON, 2021, 1026-1034. https://doi.org/10.1109/EDUCON46332.2021.-9454143
Ellis, G. (2021). Neuroscience and literacy: an integrative view. Transactions of the Royal Society of South Africa, 76(2), 157-188. https://doi.org/10.1080/-0035919X.2021.1912848
Ferrés, J. (2018). Three paradoxes in the approach to educational technology in the education studies of the Spanish universities. International Journal of Educational Technology in Higher Education, 15(1). https://doi.org/10.1186/s41239-018-0097-y
Flogie, A. (2019). The impact of innovative learning environments on social competences of youth. Research in Learning Technology, 27. https://doi.org/10.25304/rlt.v27.2214
Fragkaki, M. (2022). Higher Education Faculty Perceptions and Needs on Neuroeducation in Teaching and Learning. Education Sciences, 12(10). https://doi.org/10.3390/-educsci12100707
Ghanbari, S. (2020). A systematized review of cognitive load theory in health sciences education and a perspective from cognitive neuroscience. Journal of Education and Health Promotion, 9(1). https://doi.org/10.4103/jehp.jehp_643_19
Ginarte, M.J. (2022). Visibility and impact of the scientific production on cranial nerve teaching and learning published in Scopus. Data and Metadata, 1. https://doi.org/10.56294/dm20224
Goswami, U. (2019). Cognitive Development and Cognitive Neuroscience: The Learning Brain. https://doi.org/10.4324/9781315684734
Gutiérrez-Fresneda, R. (2022). Initial learning of reading through the contributions of neuroscience to the educational field. Literatura y Lingüística, 45, 281-298. https://doi.org/10.29344/0717621X.45.2212
Hassan, S.S. (2022). A constructivist approach to teach neuroanatomy lab: Students’ perceptions of an active learning environment. Scottish Medical Journal, 67(3), 80-86. https://doi.org/10.1177/00369330221107101
Hoof, T.J. (2021). Science of Learning Strategy Series: Article 1, Distributed Practice. Journal of Continuing Education in the Health Professions, 41(1), 59-62. https://doi.org/10.1097/CEH.0000000000000315
Hung, B.P. (2019). Meaningful learning and its implications for language education in Vietnam. Journal of Language and Education, 5(1), 98-102. https://doi.org/10.17323/2411-7390-2019-5-1-98-102
Jamil, N. (2021). Cognitive and affective brain-computer interfaces for improving learning strategies and enhancing student capabilities: A systematic literature review. IEEE Access, 9, 134122-134147. https://doi.org/10.1109/ACCESS.2021.3115263
Jolles, J. (2021). On Neuroeducation: Why and How to Improve Neuroscientific Literacy in Educational Professionals. Frontiers in Psychology, 12. https://doi.org/10.3389/-fpsyg.2021.752151
Li, X. (2021). Exploring Spatial Cognitive Process Among STEM Students and Its Role in STEM Education: A Cognitive Neuroscience Perspective. Science and Education, 30(1), 121-145. https://doi.org/10.1007/s11191-020-00167-x
Lucas-Oliva, I. (2022). From Neurodidactics to Language Teaching and Learning: The Emotional Approach. Theory and Practice in Language Studies, 12(8), 1457-1467. https://doi.org/10.17507/tpls.1208.01
Luk, G. (2020). Brain changes associated with language development and learning: A primer on methodology and applications. System, 89. https://doi.org/10.1016/-j.system.2020.102209
Larison, K.D. (2022). On Beyond Constructivism: Using Intersubjective Approaches to Promote Learning in the Science Classroom. Science and Education, 31(1), 213-239. https://doi.org/10.1007/s11191-021-00237-8
Maras, N. (2018). Constructivist didactics and neurodidactics in discourse of the reform pedagogy. Theoretical premises, dilemmas and comparison. Nova Prisutnost, 16(3), 561-577. https://doi.org/10.31192/np.16.3.9
Martínez-González, A.E. (2018). Neuroeducation: Contributions of neuroscience to curricular competences. Publicaciones de la Facultad de Educación y Humanidades del Campus de Melilla, 48(2), 23-34. https://doi.org/10.30827/-PUBLICACIONES.V48I2.8331
Nicolosi, F. (2021). New neuroanatomy learning paradigms for the next generation of trainees: A novel literature-based 3D methodology. Clinical Neurology and Neurosurgery, 210. https://doi.org/10.1016/j.clineuro.2021.106948
Nicolson, R. (2019). Development of dyslexia: The delayed neural commitment framework. Frontiers in Behavioral Neuroscience, 13, Article 112. https://doi.org/10.3389/fnbeh.2019.00112
Oku, A.Y.A. (2021). Predicting Student Performance Using Machine Learning in fNIRS Data. Frontiers in Human Neuroscience, 15. https://doi.org/10.3389/fnhum.2021.622224
Olaya, P.A. (2018). Learning strategies and creativity: A relationship that favors the processing of information. Espacios, 39(17).
Ott, A. (2018). A pedagogical approach to solar energy education. Solar Energy, 173, 740-743. https://doi.org/10.1016/j.solener.2018.07.060
Owen, R. (2021). Using Mindfulness to Promote Transformative Learning in Implicit Racial Bias Training. Adult Learning, 32(3), 125-131. https://doi.org/10.1177/1045159520981165
Penalver-Andres, J. (2021). Providing Task Instructions During Motor Training Enhances Performance and Modulates Attentional Brain Networks. Frontiers in Neuroscience, 15. https://doi.org/10.3389/fnins.2021.755721
Richaud, M. C. (2018). Bridging Cognitive, Affective, and Social Neuroscience with Education. In Psychiatry and Neuroscience Update: From Translational Research to a Humanistic Approach, 3, 287-297. https://doi.org/10.1007/978-3-319-95360-1_23
Romero, L.D.C. (2022). Neuroscience and its applications in Education: a bibliometric review. Revista Venezolana de Gerencia, 27(98), 512-529. https://doi.org/10.52080/rvgluz.27.98.9
Robinson, K.M. (2023). Mathematical Cognition and Understanding: Perspectives on Mathematical Minds in the Elementary and Middle School Years. https://doi.org/10.1007/978-3-031-29195-1
Spinillo, A.G. (2021). Mathematical Reasoning of Children and Adults: Teaching and Learning from an Interdisciplinary Perspective. https://doi.org/10.1007/978-3-030-69657-3
Schei, E. (2019). Reflection in medical education: intellectual humility, discovery, and know-how. Medicine, Health Care and Philosophy, 22(2), 167-178. https://doi.org/10.1007/s11019-018-9878-2
Sosa, T. (2022). Cognitive learning driver of self-regulation in the construction of knowledge. Revista de Ciencias Sociales, 28, 172-183. https://doi.org/10.31876/rcs.v28i.38154
Stewart, M. (2021). Understanding learning: Theories and critique. University Teaching in Focus: A Learning-centred Approach.
Tennant, M. (2019). Psychology and adult learning: The role of theory in informing practice. https://doi.org/10.4324/9780429023255
Vázquez-Medel, M.A. (2020). Creative writing and cognitive neuroscience. Arbor, 196(798), 1-11. https://doi.org/10.3989/arbor.2020.798n4001
Wang, Y. (2021). Artificial intelligence in educational leadership: a symbiotic role of human-artificial intelligence decision-making. Journal of Educational Administration, 59(3), 256-270. https://doi.org/10.1108/JEA-10-2020-0216
Wertz, R.E.H. (2020). How Do i Understand Them? Integrating Empathy into Course Design through Personas. In Proceedings - Frontiers in Education Conference, FIE, 2020. https://doi.org/10.1109/FIE44824.2020.9274152
Youdell, D. (2018). Biosocial education: The social and biological entanglements of learning. https://doi.org/10.4324/9781315226408
Wang, Y. (2021). Artificial intelligence in educational leadership: a symbiotic role of human-artificial intelligence decision-making. Journal of Educational Administration, 59(3), 256-270. https://doi.org/10.1108/JEA-10-2020-0216
Whittaker, J. y Whittsker, S. (1989). Psicología (4.ª ed.). Editorial Interamericana.
Descargas
Publicado
Número
Sección
Licencia
Derechos de autor 2024 Ingrid del Pilar Llatance Ruiz

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.











