Computational thinking
Last updated: Saturday, 29 June 2024
A way of looking at problems and systems so that a computer can be used to help solve or understand them.
May involve, e.g., decomposition, pattern recognition, abstraction, and algorithmic thinking.
There are almost always multiple ways of solving a given problem, which may vary stylistically or semantically. A lot of computational thinking is about working through these trade-offs. (cf. Tim Cowlishaw)
Computational thinking often involves iterative refinement and feedback, where traditional problem-solving is linear and sequential.
- [?] Is computational thinking a distinct way of thinking, or is it simply applying general problem-solving techniques to computational problems? What sets it apart from other forms of analysis?
- [?] Is computational thinking primarily a tool for solving well-defined problems, or can it also be applied to ill-structured, open-ended challenges?
- [?] Examine the potential biases or limitations inherent to computational thinking. Are there types of problems or contexts where it may be less effective or appropriate?
Tags: epistemics
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