Selective hiding for improved algorithmic visualization

Abstract

In order to benefit most from algorithm visualization (AV) technology students have to be meaningfully involved in the algorithm visualisation process. This may imply that they are invited to predict and implement (using an interactive visual learning environment) the operation-sequence of the studied algorithm. In such learning environments users become active players in the AV process. Students are invited to process algorithms (in terms of their high-level operations) created to be processed by computers. The study we have performed reveals latent deficiencies such AV systems might have. Compared to humans, computers are blind in many ways. Visualizing information that has extra meanings for human viewers can obstruct them in following strict computer algorithms. Research results show that wisely applied hiding may result in more effective algorithm visualization due to its higher epistemic fidelity.