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developments:matthewhudson:modelling:purpose [14/12/2016 13:50] – [Purpose of Emergent Modelling] admindevelopments:matthewhudson:modelling:purpose [24/09/2017 22:05] – external edit 127.0.0.1
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 =====Some Basic Discoveries===== =====Some Basic Discoveries=====
  
-The closer the model is to the original thing being demonstrated, including size, the more understanding of the issue is imparted. If the model is too small the reality of what is being demonstrated reduces, leading to less understanding of the issue at hand. Therefore the model should be rather large, for example clay people are expected to be bigger than 2 inches high.+The closer the model is to the original thing being demonstrated, including size, the more understanding of the issue is imparted. If the model is too small the reality of what is being demonstrated reduces, leading to less understanding of the issue at hand. Therefore the model should be rather large, for example, clay people are expected to be bigger than 2 inches high.
  
-The clients model has to fully demonstrate their issue or problem. The important thing is that the demonstration shows the structure, and separates the form from the significance – through this the client understands and resolves their problem.+The clients model has to fully demonstrate their issue or problem. The important thing is that the representation shows the structure, and separates the form from the significance – through this, the client understands and resolves their problem.
  
-Therefore we can state that the client must learn the difference between form and significance. In order to achieve this every object is labelled as it is made.+Therefore we can state that the client must learn the difference between form and significance. In order to achieve this, every object is labelled as it is made.
  
 This learning creates within the client, a balance of form and significance. And vice versa we have discovered that optimum learning and understanding requires an equal balance of form and significance, and that too much of one without the other can interfere with a client's progress. This learning creates within the client, a balance of form and significance. And vice versa we have discovered that optimum learning and understanding requires an equal balance of form and significance, and that too much of one without the other can interfere with a client's progress.
  
 Just like in EK, the client is not bound by the spatial limits of the table itself, they can place their objects anywhere, in or outside the room, do not limit the client to just the table where they are working. Just like in EK, the client is not bound by the spatial limits of the table itself, they can place their objects anywhere, in or outside the room, do not limit the client to just the table where they are working.
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