Computational Thinking
Computational Thinking
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The KM district has a vision to develop our Graduate Profile where we strive to instill skills for our graduates to be continuous learners, communicators, collaborators, engaged citizens, and creative & critical thinkers.
The KM district has a vision to develop our Graduate Profile where we strive to instill skills for our graduates to be continuous learners, communicators, collaborators, engaged citizens, and creative & critical thinkers.
Compuational Thinking is a specific strategy to developing solutions for real world problems by: 1) decomposition, 2) pattern recognition, 3) abstraction, and 4) algorithm design. Computational Thinking can be applied in any content area and does not require a device.
Compuational Thinking is a specific strategy to developing solutions for real world problems by: 1) decomposition, 2) pattern recognition, 3) abstraction, and 4) algorithm design. Computational Thinking can be applied in any content area and does not require a device.
Decomposition: breaking a problem into smaller components
Decomposition: breaking a problem into smaller components
Pattern Recognition: finding patterns in the data by sorting, grouping and filtering
Pattern Recognition: finding patterns in the data by sorting, grouping and filtering
Abstraction: getting rid of data that is not needed
Abstraction: getting rid of data that is not needed
Algorithm Design: creating rules and steps to solve the problem
Algorithm Design: creating rules and steps to solve the problem
Poster of Key Terms
Poster of Key Terms
in all K-5 KM Classrooms
in all K-5 KM Classrooms
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