CURRICULAR NEUROPLASTICITY: A NETWORK-BASED LEARNING APPROACH
Abstract
The educational curriculum, traditionally conceived as a rigid and linear structure, must evolve toward a dynamic and flexible model, capable of adapting to environmental changes and student needs. Inspired by brain neuroplasticity, curricular neuroplasticity proposes a new way of understanding learning where knowledge self-organizes based on experience, interaction, and interdisciplinarity. Just as the brain strengthens its synaptic connections to improve information processing, the curriculum must promote the integration of knowledge and methodologies to enhance knowledge construction. In this context, the curricular connectome emerges as a key tool for visualizing and structuring the interactions between disciplines, pedagogical strategies, and educational technologies. A neuroplastic curriculum is not based on isolated subjects, but on learning networks that enable personalized trajectories and meaningful experiences. Interdisciplinary projects represent a concrete manifestation of this flexibility, promoting curricular synapses—the active connection between different areas of knowledge to generate deeper, more applicable learning. However, the implementation of a neuroplastic curriculum faces significant challenges, such as resistance to change in traditional educational models, a lack of teacher training in neuroeducational approaches, and technological and structural barriers. Nevertheless, the opportunities are vast: the use of artificial intelligence and data analytics can facilitate personalized learning, interdisciplinarity can generate innovative solutions to complex problems, and neuroscience offers tools to improve the educational experience. In conclusion, understanding the curriculum as a living system implies a paradigm shift in education. Flexibility, interconnectedness, and the capacity for continuous learning must become principles of a new curricular conception that prepares students not only to face the challenges of the present but also to actively build the future. Abandoning rigidity and standardization in favor of adaptive structures will allow education to evolve at the pace of social and technological change, providing tools for the comprehensive development of students in a constantly changing world.
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References
Brusilovsky, P., & Peylo, C. (2003). Adaptive and Intelligent Web-based Educational Sys-tems.
Cardozo, S. (2023). Una aproximación a la interdisciplinariedad como estrategia de enseñanza-aprendizaje desde la perspecti¬va de docentes universitarios. Revista cien¬tífica en ciencias sociales, 5(1), 35-43.
Chacón Corzo, M. A., Chacón, C. T., & Alcedo S., Y. A. (2012). Los proyectos de aprendizaje interdisciplinarios en la formación docente. Revista mexicana de investigación educati¬va, 17(54), 877-902.
Davis, B., Sumara, Dennis, & Luce-Kapler Rebecca. (2015). Engaging Minds Cultu¬res of Education and Practices of Teaching. https://www.taylorfrancis.com/books/ mono/10.4324/9781315695891/enga¬ging-minds-brent-davis-dennis-sumara-re¬becca-luce-kapler
Davis, B., & Sumara, Dennis. (2006). Com¬plexity and Education Inquiries Into Lear¬ning, Teaching, and Research (1st Edition). https://www.taylorfrancis.com/books/ mono/10.4324/9780203764015/complexi¬ty-education-brent-davis-dennis-sumara
De BONO, E. (1992). El Pensamiento Creati¬vo Edward de Bono. https://www.academia. edu/45568249/El_Pensamiento_Creativo_ Edward_de_Bono
Delgado R., E. O. (2018). ROBOTICA MAKER: Una Estrategia Sintética de Aprendizaje des¬de las Ciencias de la Complejidad. REPOSITO¬RIO DE TESIS DE LA MAESTRÍA EN ESTUDIOS INTERDISCIPLINARIOS DE LA COMPLEJIDAD. https://repositoriotesiscomplejidad.blogs¬pot.com/2022/03/robotica-maker-una-es¬trategia-sintetica.html
Delgado R., E. O., CHIAPPE LAVERDE, AN¬DRES, & VERA SAGREDO, ANGELICA. (2025). Cybernetics of self-regulation, homeos¬tasis, and fuzzy logic: Foundational triad for assessing learning using artificial inte¬lligence. https://www.researchgate.net/ publication/388441874_Cybernetics_of_ self-regulation_homeostasis_and_fuzzy_lo-gic_foundational_triad_for_assessing_lear¬ning_using_artificial_intelligence
Doll, W. E. (with Internet Archive). (1993). A post-modern perspective on curriculum. New York : Teachers College Press. http:// archive.org/details/postmodernperspe¬0000doll
EDS/ROBOTICS. (2020, junio 9). Tecnología 4.0: Beneficios y Aplicaciones en la industria 2022. EDS Robotics. https://www.edsrobo¬tics.com/blog/tecnologia-4-0/
Galeana, L. (2006). Aprendizaje basado en proyectos. Revista Ceupromed, 1(27), 1-17.
Giuseppe, T., Perasso, G., Mazzeo°, C., Macu¬lan, A., Vianello, F., Paoletti, P., & Paoletti, F. (2022). Envisioning the future: A neuropsy¬cho-pedagogical intervention on resilience predictors among inmates during the pan¬demic. RICERCHE DI PSICOLOGIA, 45. https:// doi.org/10.3280/rip2022oa14724
Hodgkin, A. L., & Huxley, A. F. (1952). A
quantitative description of membrane cu¬rrent and its application to conduction and excitation in nerve. The Journal of Physiolo¬gy, 117(4), 500-544. https://doi.org/10.1113/ jphysiol.1952.sp004764
Holland, J. H. (2005). El Orden Oculto. Fondo de Cultura Economica USA.
Holland, J., J. H. (1992). Adaptation in Natu¬ral and Artificial Systems: An Introductory Analysis with Applications to Biology, Con¬trol, and Artificial Intelligence. https://doi. org/10.7551/mitpress/1090.001.0001
Izhikevich, E. M. (2007). Dynamical systems in neuroscience: The geometry of excitabili¬ty and bursting. MIT Press.
Jurado V., F. (2016). Hacia la renovación de la formación de los docentes en Colombia: Ruta tradicional y ruta polivalente. Pedago¬gía y saberes, 45, 11-22.
Kolb, B., Muhammad, A., & Gibb, R. (2011). Searching for factors underlying cerebral plasticity in the normal and injured brain. Journal of Communication Disorders, 44(5), 503-514. https://doi.org/10.1016/j.jcom¬dis.2011.04.007
L. Stenhouse. (1975). An Introduction To Cu¬rriculum Research And Development. http:// archive.org/details/stenhouseanintroduc¬tiontocurriculumresearchanddevelopment
Maldonado, C. (2017). Educación comple¬ja: Indisciplinar la sociedad. https://www. researchgate.net/publication/320719357_ Educacion_compleja_Indisciplinar_la_socie¬dad
Maldonado, C. (2023). ¿Qué significa el pen¬samiento crítico en la era de la inteligencia artificial? XXI, 10-11.
Maldonado, C. E. (2015). Pensar la compleji¬dad, pensar como síntesis. Cinta de moebio, 54, 313-324. https://doi.org/10.4067/S0717- 554X2015000300008
Maldonado, C. E. (2016). Pensar como la na¬turaleza. Una idea radical. Uni-pluriversidad, 16(2), 41-51.
Marron, E. M., Adrover-Roig, D., sanchez-cu¬billo, I., Miranda, R., & Periáñez, J. (2013). Bases neuroanatómicas del aprendizaje y la memoria (pp. 63-94).
Mayer, E. A. (2011). Gut feelings: The emer¬ging biology of gut–brain communication. Nature Reviews Neuroscience, 12(8), 453- 466. https://doi.org/10.1038/nrn3071
Meneses, A. L. T., Novay, E. G. Z., & Meneses, S. P. T. (2023). Las herramientas tecnológicas en el desarrollo de habilidades y destrezas en la asignatura de Emprendimiento y Ges¬tión. Revista Imaginario Social, 6(1), Article 1. https://revista-imaginariosocial.com/in¬dex.php/es/article/view/92
Orbe, A. (2011, diciembre 11). Breve Historia de la Neurociencia. Sinapsis. https://sinap¬sis-aom.blogspot.com/2011/12/breve-histo¬ria-de-la-neurociencia.html
Pherez, G., Vargas, S., & Jerez, J. (2018). Neu¬roaprendizaje, una propuesta educativa: He¬rramientas para mejorar la praxis del docen¬te1. Civilizar Ciencias Sociales y Humanas, 18(34), 149-166.
Ramírez Montoya, M. S., García Peñalvo, F. J., Navarro Parra, S., & Jerónimo Montes, J.
A. (2023). Estrategias de innovación para ambientes de aprendizaje. Innovación e in-vestigación educativa. https://hdl.handle. net/11285/650037
Tapia, V. O. (2022). Innovación educati¬va: Propuesta conceptual, paradigmática y dimensiones de acción. Revista Ensayos Pedagógicos, 17(2), Article 2. https://doi. org/10.15359/rep.17-2.5
Teran-Pazmiño, E. M., Cadena-Morales, L. S., González-González, L. P., Guamán-Sán-chez, N. de J., & León-Flores, M. C. (2024). Tecnología y Personalización del Aprendi¬zaje. Revista Científica Retos de la Ciencia, 1(4), Article 4. https://doi.org/10.53877/ rc.8.19e.202409.10
Tyler, R. W., Gagné, R. M., & Scriven, M. (1967). Perspectives of curriculum evalua¬tion. Rand McNally.
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