The What and Why of Scenario-Based Learning
This bit is right: "Simulations are just a model of the way a part of the world works. They can be in any valid state, and taken to any other valid state." As such, they place learning into a context, which supports meaningful practice. However, the best simulations are not 'stories' and they are not the 'branching scenarios' described in this article. Rather, they are open-ended, and working with such a scenario doesn't involve a series of 'decisions' but rather an adjustment (or non-adjustment) of parameters. Instead of being based on a pre-structured decision tree, they are based on data models. These models may consist of simple rules and connections between different types of data (as in the old Sim City games) or they may be based on dynamic relations that change and shape themselves as they adapt to your input.
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