Organizers / Panelists: Jonathan Roberts, James Jackson, Christopher Headleand, Panagiotis Ritsos
Abstract: Visualizations have been used to explain algorithms to learners, in order to help them understand complex processes. These `explanatory visualizations' can help learners understand computer algorithms and data-structures. But most are created by an educator and merely watched by the learner. In this paper, we explain how we get learners to plan and develop their own explanatory visualizations of algorithms. By actively developing their own visualizations learners gain a deeper insight of the algorithms that they are explaining. These depictions can also help other learners understand the algorithm.