Publication: MACRO-SYS: An Interactive Macroeconomics Simulator for Advanced Learning.
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2010
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SPRINGER-VERLAG BERLIN
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Abstract
In this paper it is presented the features and behavior of the tutoring-training system MACRO-SYS. This system allows students to simulate experiments with complex macroeconomic environments. Users have to show their knowledge level by solving the proposed exercises. These exercises represent different economist behaviours. A big advantage of our system is that it allows students to be part of the simulation interacting and modifying the behavior (parameters), both in the short and long-term, of a real scale economy. If MACRO-SYS detects that the simulated values are strongly deviating from the expected pattern, it will provide hints to the student so that she can change some parameters and bring the economy to the correct (according to the assignment) behavior. Finally, let us remark that, in contrast with most economic models,
our system takes into account a huge amount of parameters in order to compute the current state of the economy.
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2nd Asian Conference on Intelligent Information and Database Systems (ACIIDS). Hue City, VIETNAM. MAR 24-26, 2010.
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Cheng, J.Q., Wellman, M.P.: The WALRAS algorithm: A convergent distributed implementation of general equilibrium outcomes. Computational Economics 12, 1– 24 (1998)
Dumblekar, V.: Management simulations: Tests of effectiveness. An interdisciplinary Journal of Theory, Practice and Research (2004)
Entwistle, N., Peterson, E.: Conceptions of learning and knowledge in higher education: Relationships with study behaviour and influences of learning environments. International Journal of Educational Research 41(6), 407–428 (2004)
Frolova, J., Korobitsin, V.: Simulation of gender artificial society: Multi-agent models of subject-object interactions. In: Sloot, P.M.A., Tan, C.J.K., Dongarra, J., Hoekstra, A.G. (eds.) ICCS-ComputSci 2002. LNCS, vol. 2329, pp. 226–235. Springer, Heidelberg (2002)
Laurillard, D.: Modelling benefits-oriented costs for technology enhanced learning. Higher Education 54, 21–39 (2007)
Shute, V.J., Towle, B.: Adaptive e-learning. Educational Psychologist 38(2), 105–114 (2003)
Suppi, R., Munt, P., Luque, E.: Using PDES to simulate individual-oriented models in ecology: A case study. In: Sloot, P.M.A., Tan, C.J.K., Dongarra, J., Hoekstra, A.G. (eds.) ICCS-ComputSci 2002. LNCS, vol. 2329, pp. 107–116. Springer, Heidelberg (2002)
Whitehouse, K.: Web-enabled simulations: Exploring the learning process. Educause Quarterly 28(3), 20–29 (2005)