Computer Science

Computational algorithmic thinking (CAT) is the ability to design, implement, and assess the implementation of algorithms to solve a range of problems. Supporting Computational Algorithmic Thinking (SCAT) is a longitudinal project that explores the development of CAT capabilities by guiding African American middle-school girls through the iterative game design cycle, resulting in a set of complex games around broad themes.

Computational algorithmic thinking (CAT) is the ability to design, implement, and assess the implementation of algorithms to solve a range of problems. It involves identifying and understanding a problem, articulating an algorithm or set of algorithms in the form of a solution to the problem, implementing that solution in such a way that it solves the problem, and evaluating the solution based on some set of criteria. CAT has roots in Mathematics, through problem solving and algorithmic thinking. CAT lies at the heart of Computer Science, which is defined as the study of algorithms.

Many organizations are seeking to address the need for greater numbers of computer scientists in the US, and in particular, more women and underrepresented minorities. It is not uncommon to develop curriculum that relies heavily on cutting edge technology and computing tools designed to make computing more compelling. Many curriculum developers are seeking to promote creativity as a part of computing, and often do so using STEAM (science, technology, engineering, arts, and mathematics) based interventions where the arts play a prominent role in the classroom.

McKlin, T., Magerko, B., Lee, T., Wanzer, D., Edwards, D., & Freeman, J. (2018). Authenticity and personal creativity: How EarSketch affects student persistence. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education (SIGCSE 2018). New York, NY: ACM Publications.