by J. Wing. The most recent Operational Definition of Computational Thinking by the CSTA is:

Computational thinking (CT) is a problem-solving process that includes (but is not limited

to) the following characteristics: - Formulating problems in a way that enables

us to use a computer and other tools to help solve them.

- Logically organizing and analyzing data - Representing data through abstractions such

as models and simulations - Automating solutions through algorithmic

thinking (a series of ordered steps) - Identifying, analyzing, and implementing

possible solutions with the goal of achieving the most efficient and effective combination

of steps and resources - Generalizing and transferring this problem

solving process to a wide variety of problems

According the CSTA, these skills are supported and enhanced by a number of dispositions or

attitudes that are essential dimensions of CT. These dispositions or attitudes include:

- Confidence in dealing with complexity - Persistence in working with difficult problems

- Tolerance for ambiguity - The ability to deal with open ended problems

- The ability to communicate and work with others to achieve a common goal or solution

Additionally, one could add the ability to be creative here

Therefore once students have successfully mastered this kind of thinking they are in

a much better position to master a safe and successful life in our digital society.