The term “computational thinking” incorporates all the points you brought up. 

Ed
_______________________

Ed Angel

Founding Director, Art, Research, Technology and Science Laboratory (ARTS Lab)
Professor Emeritus of Computer Science, University of New Mexico

1017 Sierra Pinon
Santa Fe, NM 87501
505-984-0136 (home)                     an...@cs.unm.edu 
<mailto:an...@cs.unm.edu>
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<http://www.cs.unm.edu/~angel>

> On Jan 29, 2021, at 3:49 PM, Tom Johnson <t...@jtjohnson.com> wrote:
> 
> And I would gently suggest (not argue) that before ""algorithmic thinking" we 
> should teach systems thinking/analysis: what will be the system in question 
> and its defined boundaries, what the variables/agents within the system, the 
> input/output relationships between those variables under what 
> context/conditions, how do we measure change in the system and is the system 
> capable of "learning," i.e. adapting to internal and external changes in its 
> environment.  
> 
> With these steps we can start to discuss algorithms.  So there!  Harump!
> TJ
> 
> 
> ============================================
> Tom Johnson - t...@jtjohnson.com 
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> 
> On Fri, Jan 29, 2021 at 3:00 PM George Duncan <gtdun...@gmail.com 
> <mailto:gtdun...@gmail.com>> wrote:
> I certainly agree with Ed. Coding does indeed suggest the final stage for a 
> particular language--should that colon instead be on a semi-colon. I would, 
> though, argue for  "algorithmic thinking" rather than "computational 
> thinking".
> 
> George Duncan
> Emeritus Professor of Statistics, Carnegie Mellon University
> georgeduncanart.com <http://georgeduncanart.com/>
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> My art theme: Dynamic exposition of the tension between matrix order and 
> luminous chaos.
> 
> "Attempt what is not certain. Certainty may or may not come later. It may 
> then be a valuable delusion."
> From "Notes to myself on beginning a painting" by Richard Diebenkorn. 
> "It's that knife-edge of uncertainty where we come alive to our truest 
> power." Joanna Macy.
> 
> 
> 
> 
> 
> On Wed, Jan 27, 2021 at 2:53 PM Edward Angel <an...@cs.unm.edu 
> <mailto:an...@cs.unm.edu>> wrote:
> Going back to Dave’s original post, to me a big part of the issue is what is 
> meant by “coding.” Unfortunately for manys in CS education, coding has come 
> to refer only to the very last step in a complex process; namely, converting 
> a final detailed set of instructions into computer code for a particular 
> computer language. This is especially true of what as happened in the schools 
> with programs that claim to teach coding and STEM. It’s why many of us prefer 
> to use the term “computational thinking” when dealing with CS education.
> 
> If coding is just the final step (which could be replaced by a machine, if 
> not now but soon) then it would be orthogonal to all these other skills.
> 
> Ed
> _______________________
> 
> Ed Angel
> 
> Founding Director, Art, Research, Technology and Science Laboratory (ARTS Lab)
> Professor Emeritus of Computer Science, University of New Mexico
> 
> 1017 Sierra Pinon
> Santa Fe, NM 87501
> 505-984-0136 (home)                   an...@cs.unm.edu 
> <mailto:an...@cs.unm.edu>
> 505-453-4944 (cell)                           http://www.cs.unm.edu/~angel 
> <http://www.cs.unm.edu/~angel>
> 
>> On Jan 27, 2021, at 10:41 AM, Prof David West <profw...@fastmail.fm 
>> <mailto:profw...@fastmail.fm>> wrote:
>> 
>> For a while now there has been a huge push to teach kids how to code. 
>> Ostensibly because it enhances skills like language, logic, and math; plus, 
>> "computer literacy" is essential in a world filled with computers.
>> 
>> A study at MIT suggests that coding skill is orthogonal to reading skill and 
>> has little, if any, influence on development of logic/math skills.
>> 
>> An article in the Journal of Neuroscience argues that if you want to 
>> increase the "skills and brainpower" of kids you should teach them music.
>> 
>> I came across this information peripherally and have not read the specific 
>> research reported on. I want the reports to be accurate representation of 
>> the research because it confirms long held biases against the value of 
>> "computational thinking" and computer science as a fundamental knowledge 
>> domain.
>> 
>> dave west
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