Computational Thinking in Real-Life Projects

Isn't it surprising that with all the technology available to our students, fewer and fewer of them are pursuing education and careers that will have them inventing technologies? The U.S. talent pool from which the next innovations spring is shrinking and NCWIT By the Numbers (pdf) tells the story.
In the interest of changing this trend, Computer Science Education Week was born. From December 5-11 folks around the country are mobilizing to:

• Eliminate misperceptions about computer science and computing careers
• Communicate the endless opportunities for which computer science education prepares students within K-12, and into their higher education and careers
• Provide information and activities for students, educators, parents, and IT professionals to advocate for computer science education at all levels

Visit the site and make a pledge to raise awareness of the role computing plays in all our lives and to promote computer science education for all students.

Here's where PBL comes in. All teachers (not just CS teachers!) have a role in developing the computational thinking patterns that are foundational to computer science.

"Computational thinking is a way of solving problems, designing systems, and understanding human behavior that draws on concepts fundamental to computer science. To flourish in today's world, computational thinking has to be a fundamental part of the way people think and understand the world."

-Carnegie Mellon University Center for Computational Thinking

The right learning opportunity combined with accessible technologies -from spreadsheets to Scratch to modeling software- can encourage the exploration of computational concepts during real-life problem solving. With more "computational thinking" experiences under their belts, it's likely more kids will see how harnessing the power of computer science can help them invent and improve their world.

One example? Middle school students in Ohio became concerned about broken city sidewalks that hampered mobility for senior and disabled citizens. By making an inventory of sidewalk quality and studying foot traffic patterns students were able to create a model that they presented to the city council in support of their recommendations for sidewalk repair. Identifying the problem so it could be studied through data inventory and analysis was just the start of the computational thinking involved in the sidewalk project. Determining how to associate foot traffic patterns and sidewalk quality was another computational challenge, as was how to best represent the problem in an infographic.

What aspects of your projects could be amped up to draw on and develop computational thinking?

Learn more about CT from Jeanette Wing: