Sunday, February 21, 2016

Hestenes Vs NGSS

In my reading of  Hestenes I see quality research done.  He begins is argument in a strong way stating that modeling is the name of the game and an base layer for science and technology. This I can definitely agree with.  The first and easiest way we remembered  science was through a lab. The labs are examples of conceptual models. They take our  learned knowledge and reinforce them with application. Therefore creating a sort of scientific knowledge. He then goes onto  elaborate on the importance of intrinsic vs. interactive values in the models. These both play  significant roles; intrinsic values are set values or constants while interactive values allow us to see the ebbs and flows of the model and allow it to  grow and change. Hestenes then began to talk about the laws of change and natural laws which further solidified his basis for the intrinsic vs. interactive models. This brings to mind my genetics class where we saw how bacteria live and in full effect were cultured in an agar and left to incubate. The natural law told us that these bacteria would grow and could be seen in front of our eyes. While the law of change showed us that the bacteria would become different shapes, colors, have a wide range of dispersion or small depending on how they were handled.
The next 3 sections spoke on how to incorporate these models with your students. While NGSS statutes have taken a while to hold on. Improved test scores (as we all know data driven schools seem to succeed more) have proven that these two schools of thought can be mixed and are needed for successful thinking and teaching.

1 comment:

  1. I like your example of a lab for a type of model to allow for real application of learned information. Labs also follow most, if not all the NGSS practices too if you think about it. They start off by asking questions, then develop and use a model by planning and carrying out investigations. Labs even use mathematics and computational thinking most times to analyze and interpreting data. Also they construct explanations through obtaining, evaluating, and communicating information and sometimes even provide an opportunity to engage in argument from found evidence.

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