Computational thinking is the process of breaking down challenging questions and problems into easy to understand parts. It helps us create solutions by solving in smaller pieces. The process of computational thinking is broken down into 4 components.
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What is the big problem students are trying to solve, and how many components does this problem have? Decomposition means breaking down complex problems and working on one component at a time.
Patter recognition is key to solve difficult problems through analyzing data and looking for similarities. What similarities do you see within the big problem and it's components? Use your analysis to determine a solution.
What information is relevant to solving the problem? With abstraction, students will begin to ignore what's unimportant and solely focus on what is important. This allows the big problem to be easily understood and solved.
It's important to communicate how this bigger problem is solved. Create step-by-step instructions or a set of rules to follow when solving the big problem.
Share these routines with your students! Download the PDF now.
Join daily webinars aligned to West Virgina CS Standards.
This virtual 5-day PD opportunity explores West Virginia CS standards and includes hands-on training. Join us to create simple programs using the Python programming language.
Attendees will be given access to an online course and asked to join daily webinars. The daily webinars are offered to review important concepts, troubleshoot common misconceptions, and discuss challenges of teaching CS.
Dates: August 10-14, 2020 / Daily 30-minute Webinars at 12:30 PM EST
Can't make it? We'll send you the recording. Registrants will also receive a calendar invite after enrolling in the course.