Construction and Evaluation of Scenarios as a Learning Strategy through Modelling-Simulation

Juan Luis Peñaloza Figueroa, Carmen Vargas Perez


From a systemic perspective and in the context of an increasing generalization in the use of new technologies and the change in the educational paradigm -which emphasizes guided and autonomous learning-, the learning strategy should be routed to join logical reasoning and instrumental skills (software). The inclusion of new computing and communication resources to the learning process turns them into teaching tools, which makes it possible to organize the teaching and learning process in a different way. The design of these new scenarios of study has important implications to the way information is processed, to the different levels of learning (descriptive, explanatory or analytical ones) and to the way knowledge is acquired and evaluated. In addition, that design takes into account the greater student-content, student-student and student-teacher interactivities, always emphasizing guided independent learning. Thus, the construction, analysis and evaluation of scenarios through models and simulation are the strategy that best suits the current learning style followed by students.


New technologies; Paradigm; Logical reasoning; Instrumental skills; Scenarios; Interactivity; Modelling and simulation

Full Text:



Acero, V., et. al. (2011). ¿Cualitativo o cuantitativo? Esa no es la cuestión: un método para el desarrollo de hipótesis dinámicas. IX Congreso Latinoamericano de Dinámica de Sistemas and II Congreso Brasileño de Dinámica de Sistemas.

Andaloro, G., et al (1991). Modelling in physics teaching: the role of computer simulation. Int. J. Science Education, No. 13(3), pp. 243-254.

Andrade, H., et. al. (2009). Framework para el desarrollo de ambientes software de aprendizaje y toma de decisiones con modelos en dinámica de sistemas. XIII Congreso de Informática en la Educación. InforEdu 2009. Habana (Cuba).

Bertrand de Jouvenel (1967). The Art of conjecture. Editor Basic Books. Michigan University.

Blomhφj, M. (2004). Modelización matemática: una teoría para la práctica. Revista de Matemáticas Vol. 23. 2. pp. 20-35, Universidad Nacional de Córdoba.

Bouciguez, M.J. et. al. (2010). Ambientes virtuales altamente interactivos para el aprendizaje de ciencias en contextos educativos. WICC 2010 – XII Workshop de Investigación en Ciencias de la Computación.

Braun, W. (2002). The system archetypes. The Systems Modeling Workbook, W. Braun, Ed.

Coyle, G. (2000). Qualitative and quantitative modelling in system dynamics: some research questions. System Dynamics Review, vol. 16, pp. 225-244.<225::AID-SDR195>3.0.CO;2-D

Forrester, Nathan (1983). Eigenvalue analysis of dominant feedback loops. 1st International Conference of the System Dynamics Society, Chestnut Hill, United States.

Gilbert, J.K. (2004). Models and modelling: routes to more authentic science education. International Journal of Science and Mathematics Education, 2(2), pp.115-130.

Godet, M. (1991). From anticipation to action. A handbook of strategic prospective. Unesco Publishing. Spanish version: De la anticipación a la acción. Manual de prospectiva estratégica. Barcelona. Editorial Marcombo S.A. Spain. 1993.

Godet, M. and Durance, P. (2011). La Prospectiva estratégica: para las empresas y los territorios. Dunod and UNESCO 2011.

Gómez, D., et. al. (2009). Definición sistémica y simulación dinámica de escenarios: aplicación a la economía colombiana 2002-2007. Resource document.

Guilhou, X. and Lagadec, P. (2002). La fin du risque zero. Eyrolles, Editions d'Organisation. France.

Hadad, G. D. S. (2007). Uso de escenarios en la derivación de software. PhD. Dissertation. Facultad de Ciencias Exactas. Universidad Nacional de La Plata. Argentina (November).

Hestenes, D (1987). How the brain works: the next great scientific revolution. In: C.R. Smith and G.J. Erickson (eds.), Maximum Entropy and Bayesian Spectral Analysis and Estimation Problems (Reidel: Dordrecht/Boston). p. 173–205.

Huang, J. et al. (2010). An extension of loop deactivation in the behavioural method. 28th International Conference of the System Dynamics Society, Seoul, Korea.

Kahn, H. and Wiener, A. (1967). The year 2000: a framework for speculation on the next thirty-three years. MacMillan. ISBN 0-02-560440-6.

Krajcik, J., et. al. (2000). Un andamiaje de herramientas tecnológicas para promover la enseñanza y el aprendizaje de ciencias. In C. Dede (Comp.). Aprendiendo con tecnologías. Editorial Paidós. Buenos Aires, Argentina.

Lakatos, I. (1976). Proofs and refutations. Cambridge: Cambridge University Press. ISBN 0-521-29038-4

Lakatos, I. (1978). The methodology of scientific research programmes. Philosophical Papers Volume 1. Cambridge: Cambridge University Press.

Law, A. M. and W. D. Kelton. (1999). Simulation modeling and analysis. Third Edition, McGraw-Hill, New York (December).

Medina Vásquez, J. and Ortegón, E. (1997). Prospectiva: construcción social del futuro, Instituto Latinoamericano de Planificación Económica y Social (ILPES). Universidad del Valle, Cali, Colombia.

Peñaloza Figueroa J.L. and Vargas Pérez, C. (2006). ( and ¿Qué debe cambiar en el aprendizaje de la estadística en las ciencias del comportamiento? XIV Taller y II Encuentro Internacional de la Asociación Española de Profesores Universitarios de Matemáticas para la Economía y la Empresa. ASEPUMA.

Peñaloza Figueroa J.L. and Vargas Pérez, C. (2009). ( and Acquisition of skills and supervised and unsupervised learning of inferential statistics. 1st International Conference on Education and New Learning Technologies. EDULEARN09 Proceedings Barcelona, Spain. 6-8 July. Publisher: IATED. ISBN: 978-84-612-9801-3 / ISSN: 2340-1117.

Peñaloza Figueroa J.L. and Vargas Pérez, C. (2010) ( and Numeric indicators for competence-based evaluation in statistical learning. 4th International Technology, Education and Development Conference. INTED2010 Proceedings. Valencia, Spain. 8-10 March, 2010. Publisher: IATED. ISBN: 978-84-613-5538-9 / ISSN: 2340-1079.

Peñaloza Figueroa J.L. and Vargas Pérez, C. (2013). ( and Modeling and simulation workshops as a learning tool and conceptual and relational consolidation. 7th international technology, Education and Development Conference. INTED2013 Proceedings. Valencia, Spain. 4-5 March, 2013. Publisher: IATED. ISBN: 978-84-616-2661-8 / ISSN: 2340-1079.

Prigogyne, LL. (1997). El fin de las certidumbres, Taurus. Madrid.

Popper, K R, (1972). Objective knowledge: an evolutionary approach, Oxford-Clarendon Press.

Popper, K.(1934). The logic of scientific discovery. New York: Routledge, 2009. ISBN 10 0-415-27843-0.

Popper, K. (1934). La lógica de la investigación científica. Translated by Víctor Sánchez de Zavala (1ª edición). Madrid: Editorial Tecnos, 1962. ISBN 84-309-0711-4.

Schoemaker. Paul J.H. (1995), “Scenario planning: a tool for strategic thinking”, in: Sloan Management Review, Winter

Sterman, J. (2000). Business dynamics. Systems thinking and modeling for a complex World. Boston, MA, USA.

Stewart, James, Lothar Redlin. y Saleem, Watson (2007). Precálculo, Matemáticas para el cálculo. 5th. Ed., Cengage Learning.

Vargas Pérez, C. and Peñaloza Figueroa J.L. (2013). ( and Modeling and simulation workshops as a learning tool and conceptual and relational consolidation. 7th international technology, Education and Development Conference. INTED2013 Proceedings. Valencia, Spain. 4-5 March, 2013. Publisher: IATED. ISBN: 978-84-616-2661-8 / ISSN: 2340-1079.

Villa O., et. al. (2007). El proceso de modelación matemática en las aulas escolares. A propósito de los 10 años de su inclusión en los lineamientos curriculares colombianos. Octavo Encuentro colombiano de Matemática educativa. Resource document. Grupo de Investigación en Educación Matemática e Historia (UdeA, Eat), University of Antioquia.

Abstract Views

Metrics Loading ...

Metrics powered by PLOS ALM


Cited-By (articles included in Crossref)

This journal is a Crossref Cited-by Linking member. This list shows the references that citing the article automatically, if there are. For more information about the system please visit Crossref site

1. BIG-DATA and the Challenges for Statistical Inference and Economics Teaching and Learning
J.L. Peñaloza Figueroa, C. Vargas Perez
Multidisciplinary Journal for Education, Social and Technological Sciences  vol: 4  issue: 1  first page: 64  year: 2017  
doi: 10.4995/muse.2017.6350

This journal is distributed under a Creative Commons Attribution-NonCommercial-NonDerivs 4.0 Internacional License.

Universitat Politècnica de València

e-ISSN: 2341-2593