Google for Education: Exploring Computational Thinking Lessons and Examples

Northwestern University frames lessons which bring computational thinking enhanced activities into STEM classrooms.

Some example problems where learners model biological phenomena with computational thinking in order to make predictions and better understand their world.

In this demonstration, students see how they can model the phenomenon of projectiile motion with computational thinking in order to make predictions and better understand the concepts.

With this demonstration, students will learn to use computational thinking to better understand how the atomic number of an element affects how its electrons are configured.

By using Microsoft Excel, students collect, decompose, and re-aggregate class data. Students use computational thinking skills by decomposing long lists of information and writing basic algorithms to help analyze data.

Learners learn how to use and analyze data to draw conclusions about information collected from classmates. Then they use computational thinking by collecting and aggregating data onto a spreadsheet, identifying patterns in their data,...

In this lesson, students are introduced to methods used to create random numbers as well as ways in which they can be used in scientific experiments.

The second of two similar lessons where students learn how a Python program can organize and sort data. When taught in conjunction with Sorting the World's Cities with Excel, students make the connection between writing a program and...

Find out how Google street view engineers use computational thinking to solve problems. [3:44]

The head of the Computer Science Department at Carnegie Mellon University, Jeannette M. Wing, presents her vision that computational thinking will be a fundamental skill used by everyone in the world by the middle of the 21st Century.