Complexity in curricular networks: Agronomic Engineering curriculum, Universidad Nacional de Córdoba (Argentina)

Main Article Content

Marcos Sebastián Karlin
Ulf Ola Karlin
Claudia del Huerto Romero de Gelonch
Mariana Martinelli

Abstract

Network theory is beginning to be discussed in the framework of educational sciences. Network analysis can help visualize the curricular hidden structure of different university careers,  recognizing weak links or disconnections.  However, currently there are few precedents of  practical applications in the curricular diagnosis of university degrees. This work studies the curricular relationships between curricular spaces of an agronomic engineering degree, applying the network theory. Relationships were quantified between curricular spaces, identifying the  trength of the links between them at a horizontal and  vertical axis, in spaces of knowledge axes and  knowledge cycles, analyzing the extent of  recursivity of the contents based on their programs. The curricular spaces from the superior cycles are better interrelated than those from the lower cycles.  The nodal curricular spaces are those with the largest number of internal and external links. Consolidation areas tend, in  eneral, to the integration of knowledge. It is suggested to  strengthen horizontal and vertical links among curricular spaces, especially in the basic cycles, either directly or through nodal curricular spaces, incorporating common activities or linking common practical contents. 

Downloads

Download data is not yet available.

Article Details

How to Cite
Karlin, M. S., Karlin, U. O., Romero de Gelonch, C. del H., & Martinelli, M. (2023). Complexity in curricular networks: Agronomic Engineering curriculum, Universidad Nacional de Córdoba (Argentina). AgriScientia, 40(1), 1–16. https://doi.org/10.31047/1668.298x.v40.n1.40261
Section
Articles

References

Aldrich, P. (2015). The curriculum prerequisite network: Modeling the curriculum as a complex system. Biochemistry and Molecular Biology Education, 43(3), 168-180. https://doi.org/10.1002/bmb.20861 DOI: https://doi.org/10.1002/bmb.20861

Alhadeff-Jones, M. (2009). Revisiting educational research through Morin’s paradigm of complexity. Complicity: An International Journal of Complexity and Education, 6(1), 61-70. https://doi.org/10.29173/cmplct8807 DOI: https://doi.org/10.29173/cmplct8807

Borgatti, S., Everett, M., & Freeman, L. (2002). Ucinet 6 for Windows: Software for Social Network Analysis. Harvard: Analytic Technologies. https://pages.uoregon.edu/vburris/hc431/Ucinet_Guide.pdf

Conrero, J. M. (coord.). (2013). Planificación Estratégica Participativa 2013. Informe final. Córdoba: Universidad Nacional de Córdoba, Facultad de Ciencias Agropecuarias. http://www.agro.unc.edu.ar/~copep/wp-content/uploads/2013/10/PEP_2013_2018_FCA_UNC.pdf

Dawson, S., & Hubball, H. (2014). Curriculum analytics: Application of social network analysis for improving strategic curriculum decision-making in a research-intensive university. Teaching and Learning Inquiry, 2(2), 59-74. https://doi.org/10.2979/teachlearninqu.2.2.59 DOI: https://doi.org/10.20343/teachlearninqu.2.2.59

Di Rienzo, J, Casanoves, F., González, L., Tablada, M., Robledo, C., & Balzarini, M. (2020) InfoStat. Córdoba: Grupo InfoStat, FCA, Universidad Nacional de Córdoba. http://www.infostat.com.ar

FCA-UNC. (2004). Plan de Estudios 2004. Texto ordenado. Córdoba: Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. http://www.agro.unc.edu.ar/~alumnos/wp-content/uploads/2021/05/PLAN-DE-ESTUDIOS-2004-TEXTO-corregido2008.pdf

Fenwick, T., & Edwards, R. (Eds.). (2012). Researching education through actor-network theory. New Jersey: John Wiley & Sons. DOI: https://doi.org/10.1002/9781118275825

Maldonado, C. E. (2014). ¿Qué es eso de pedagogía y educación en complejidad? Intersticios Sociales, 7, 1-23. https://doi.org/10.55555/IS.7.51 DOI: https://doi.org/10.55555/IS.7.51

Mederos Machado, M. C., Balmaceda Espinosa, C. E., & Balmaceda Mederos, M. (2017). Perspectivas epistemológicas curriculares de la ingeniería agropecuaria. Revista Ciencias Pedagógicas e Innovación, 5(1), 123-127. https://doi.org/10.26423/rcpi.v5i1.163 DOI: https://doi.org/10.26423/rcpi.v5i1.163

Morin, E. (1998). Introducción al pensamiento complejo. Barcelona: Gedisa.

Mystakidis, S. (2021). Deep Meaningful Learning. Encyclopedia, 1(3), 988-997. https://doi.org/10.3390/encyclopedia1030075 DOI: https://doi.org/10.3390/encyclopedia1030075

O’Meara, J., & Vaidya, A. (2021). A network theory approach to curriculum design. Entropy, 23, (10), 1346. https://doi.org/10.3390/e23101346 DOI: https://doi.org/10.3390/e23101346