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Fireside Chat with Sarah Aslanifar

Panelat DevOpsDays Chicago 2020 · on Tuesday, 2020-09-01· [machine-learning]
links:none on file
slides:none on file

Argues that computational thinking is a practical cognitive tool not a CS-only skill and demonstrates it with two concrete experiments: built a model of a mosh pit to study collective behavior and a classroom exercise where 20 kids sort cards in five minutes by bucketing then recombining, which the children reuse the next day for their writing assignments. Recommends lightweight tooling for rapid tests, e.g. Jupyter notebooks for quick experiments, and warns that story points and crude metrics often mislead unless paired with models and observable validation.

AI-written summary · about

  1. 0:00Welcome and introduction
  2. 1:06Mosh pits as complex systems
  3. 3:13Complex vs complicated systems
  4. 5:39Human brains and pattern recognition
  5. 6:43Computational thinking and predictions
  6. 8:54Story points and measurement pitfalls
  7. 11:19Learning from failure in projects
  8. 12:21Software engineering responsibility
  9. 13:02Computational thinking vs scientific method
  10. 15:49Teaching computational thinking
  11. 17:33Surprises in computational thinking
  12. 19:40Closing remarks
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