Learning Computational Thinking (CT) is implicitly contextual, requiring the opportunity for practice. In gameplay, interest and learning are a self-perpetuating result of practice and competitive engagement. 

CyberWhist is a web-based adaptation of the gameplay rules and mechanics of a set of Classic Whist derived card games, such as Bridge, Euchre, Spades, and BidWhist. It is a simulation purposed to leverage the Whist games’ universal appeal and cognitive elements, for use as a field (domain) for Learners to practice Computational Thinking (CT).

Most significant is a novel game presentation that infuses mathematical data representations into the gameplay, while mitigating issues related to the acceptance of traditional playing cards for learning. The result incorporates the functionality required to accentuate the game’s cognitive elements while retaining the aspects of the game mechanics that motivate gameplay.

Whist games consist of four players, two in partnership. In CyberWhist, the web app simulates three of the four players, and the Learner’s manual play or submitted code serves as the fourth player. The Leaner’s CT practice/challenge is to iteratively use manual gameplay to develop game-winning strategies and to encode the results to automate/replicate the Learner’s manual gameplay.