4.7 Article Proceedings Paper

Models and simulations for learning in complex domains: using causal loop diagrams for assessment and evaluation

期刊

COMPUTERS IN HUMAN BEHAVIOR
卷 17, 期 5-6, 页码 517-545

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0747-5632(01)00025-5

关键词

causal loop mapping; cognitive mapping; complex learning; evaluation; interactivity; simulation-based learning; system dynamics

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The aim of this paper is to describe issues related to interactivity and access to underlying models and representations in learning environments for complex domains. There is some evidence to suggest that system dynamics can be effectively used to promote understanding in complex domains [e.g. Davidsen, P. I. (1994a). Implementing elements of system dynamics approach to organisational learning. Proceedings of ESS '94, SCS. Ghent, Belgium; Davidsen, P. I. (1994b). The systems dynamics approach to computer-based management learning environments: implications and their implementations in Powersim, In J. D. W. Morecroft, & J. D. Sterman (Eds.), Modeling for learning organizations, (pp. 301-316). Portland: Productivity Press., Davidsen, P. 1. (1996). Educational features of the system dynamics approach to modelling and simulation. Journal of Structured Learning, 12(4), 269-290; Sterman, J. D. (1988). People express management flight simulator. Cambridge, MA: Sloan School of Management; Sterman, J. D. (1994). Learning in and about complex systems. System Dynamics Review 10(2/3), 291-300.]. However, there is insufficient evidence to establish whether or not this is in fact the case. Moreover, there has been little effort to address strategic design issues pertaining to the effective use of system dynamics in promoting learning in and about complex systems. This paper is an attempt to review the relevant conceptual issues in promoting learner engagement with appropriate and relevant representations for complex domains. A specific approach will be presented and defended, an elaboration example will be discussed, and early evaluation results will be reported. Finally, a method for evaluating these environments and assessing individual progress will be defended. (C) 2001 Elsevier Science Ltd. All rights reserved.

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