School Coexistence as a Complex Dynamic System: a Theoretical Proposal from Mathematical Modeling
DOI:
https://doi.org/10.70577/asce.v5i1.657Keywords:
Classroom Environment; Mathematical Models; Social Dynamics; School Climate; Social InteractionAbstract
School coexistence has traditionally been addressed through approaches focused on individual variables or static descriptions of behavior, which limits the understanding of its collective, nonlinear, and path-dependent dynamics. Therefore, the objective of this study is to propose and analyze a mathematical model based on nonlinear differential equations to conceptualize school coexistence as a complex dynamic system, considering the interaction between the natural drift toward disorder, the intensity of external reinforcements, and the group’s tolerance capacity for order. Consequently, a theoretical study was conducted through the conceptual adaptation of a phase-transition model widely used in dynamical systems theory, which was analyzed by identifying critical points, stability conditions, and bifurcations. The results reveal the existence of critical thresholds and regions of bistability that determine transitions between bad and good behaviour in the classroom, as well as the presence of hysteresis, indicating that classroom dynamics depend on the system’s prior trajectory. It is concluded that school coexistence can be understood as a nonlinear dynamic system in which pedagogical interventions must be sustained, with sufficient intensity to overcome critical thresholds and consolidate stable states of coexistence, providing a conceptual framework to inform the design of more effective pedagogical strategies and future empirical research.
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Alkhadim, G. (2024). The detrimental effects of student-disordered behavior at school: evidence from using the cusp catastrophe. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1346232 DOI: https://doi.org/10.3389/fpsyg.2023.1346232
Blikstein, P., Abrahamson, D., & Wilensky, U. (2008). The classroom as a complex adaptive system: an agent-based framework to investigate students’ emergent collective behaviors. In P. A. Kirschner, J. J. G. van Merriënboer, & T. de Jong (Eds.), Cre8ing a learning world: Proceedings of the 8th International Conference for the Learning Sciences, ICLS 2008, Utrecht, The Netherlands, June 23-28, 2008, Volume 3 (pp. 12–13). International Society of the Learning Sciences. https://repository.isls.org/handle/1/3216
Brandi Simonsen, Sarah Fairbanks, Amy Briesch, Diane Myers, & George Sugai. (2008). Evidence-based Practices in Classroom Management: Considerations for Research to Practice. Education and Treatment of Children, 31(1), 351–380. https://doi.org/10.1353/etc.0.0007 DOI: https://doi.org/10.1353/etc.0.0007
Burns, A., & Knox, J. (2011). Classrooms as Complex Adaptive Systems: A Relational Model. The Electronic Journal for English as a Second Language, 15.
Cárdenas Messa, G. A. (2019). De la entropía social a la entropía educativa. Una reflexión en el contexto colombiano. Revista Educación, 12. https://doi.org/10.15517/revedu.v44i1.37100 DOI: https://doi.org/10.15517/revedu.v44i1.37100
Centola, D., Becker, J., Brackbill, D., & Baronchelli, A. (2018). Experimental evidence for tipping points in social convention. Science, 360(6393), 1116–1119. https://doi.org/10.1126/science.aas8827 DOI: https://doi.org/10.1126/science.aas8827
Durlak, J. A., Weissberg, R. P., Dymnicki, A. B., Taylor, R. D., & Schellinger, K. B. (2011). The Impact of Enhancing Students’ Social and Emotional Learning: A Meta-Analysis of School-Based Universal Interventions. Child Development, 82(1), 405–432. https://doi.org/10.1111/j.1467-8624.2010.01564.x DOI: https://doi.org/10.1111/j.1467-8624.2010.01564.x
Flores, J. C. (2015). A phase-transition model for the rise and collapse of ancient civilizations: A pre-ceramic Andean case study. Physica A: Statistical Mechanics and Its Applications, 440, 155–160. https://doi.org/10.1016/j.physa.2015.08.025 DOI: https://doi.org/10.1016/j.physa.2015.08.025
Flores, J., & Izquierdo-Egea, P. (2018). UNA COMPARACIÓN ENTRE TRANSICIONES DE FASE Y CONFLICTOS SOCIALES APLICADA A LAS ANTIGUAS CIVILIZACIONES MESOAMERICANAS (A Comparison between Phase Transitions and Social Conflicts Applied to the Ancient Mesoamerican Civilizations). Arqueologia Iberoamericana, 38, 50–54.
Hardy, I., Meschede, N., & Mannel, S. (2022). Measuring adaptive teaching in classroom discourse: Effects on student learning in elementary science education. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.1041316 DOI: https://doi.org/10.3389/feduc.2022.1041316
Jones, R. T., & Kazdin, A. E. (1975). Programming response maintenance after withdrawing token reinforcement. Behavior Therapy, 6(2), 153–164. https://doi.org/10.1016/S0005-7894(75)80136-5 DOI: https://doi.org/10.1016/S0005-7894(75)80136-5
Kiefer, K. (2006). Complexity, class dynamics, and distance learning. Computers and Composition, 23, 125–138. https://doi.org/10.1016/j.compcom.2005.12.003 DOI: https://doi.org/10.1016/j.compcom.2005.12.003
Knight, B. (2021). Classroom as Complex Adaptive System and the Emergence of Learning. https://doi.org/10.5772/intechopen.101699
Knight, B. (2022). The classroom as a complex adaptive system (CAS): Credible framing, useful metaphor or mis-designation? International Journal of Complexity in Education, 3(1). https://uwe-repository.worktribe.com/output/8809354 DOI: https://doi.org/10.5772/intechopen.101699
Marzano, R. J., Marzano, J. S., & Pickering, D. (2003). Classroom Management that Works: Research-based Strategies for Every Teacher. Association for Supervision and Curriculum Development. https://books.google.cl/books?id=BVM2ml2Q-QgC
Murray, J. D. (2004). Mathematical biology: I & II (3rd ed.). Springer.
O’Brennan, L. M., Bradshaw, C. P., & Furlong, M. J. (2014). Influence of Classroom and School Climate on Teacher Perceptions of Student Problem Behavior. School Mental Health, 6(2), 125–136. https://doi.org/10.1007/s12310-014-9118-8 DOI: https://doi.org/10.1007/s12310-014-9118-8
Oliver, R., Wehby, J., & Reschly, D. (2011). Teacher classroom management practices: Effects on disruptive or aggressive student behavior. Campbell Systematic Reviews, 4, 1–55. https://doi.org/10.4073/csr.2011.4 DOI: https://doi.org/10.4073/csr.2011.4
Puu, T. (2003). Attractors, Bifurcations, & Chaos: Nonlinear Phenomena in Economics. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-24699-2 DOI: https://doi.org/10.1007/978-3-540-24699-2
Quezada, A., & Canessa, E. (2008). La complejidad de los procesos educativos en el aula de clases. Educar Em Revista, (32), 103–119. https://doi.org/10.1590/S0104-40602008000200009 DOI: https://doi.org/10.1590/S0104-40602008000200009
Slough, N. M., & McMahon, R. J. (2008). Preventing Serious Conduct Problems in School-Age Youth: The Fast Track Program. Cognitive and Behavioral Practice, 15(1), 3–17. https://doi.org/10.1016/j.cbpra.2007.04.002 DOI: https://doi.org/10.1016/j.cbpra.2007.04.002
Stamovlasis, D. (2014). Bifurcation and Hysteresis Effects in Student Performance: The Signature of Complexity and Chaos in Educational Research. Complicity: An International Journal of Complexity and Education, 11(2). https://doi.org/10.29173/cmplct22964 DOI: https://doi.org/10.29173/cmplct22964
Videla Reyes, R., Leyton, G., & Rossel, S. (2017). El aula como sistema complejo: hacia una formalización de la organización de la vida del aula. Innoeduca. International Journal of Technology and Educational Innovation, 3, 109. https://doi.org/10.24310/innoeduca.2017.v3i2.3062 DOI: https://doi.org/10.24310/innoeduca.2017.v3i2.3062
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