Creating explanatory visualizations of algorithms for active learning

Roberts, Jonathan C., Jackson, J. R., Headleand, Chris and Ritsos, Panagiotis D. (2016) Creating explanatory visualizations of algorithms for active learning. In: IEEE Conference on Visualization (IEEE VIS 2016), 23 - 28 October 2016, Baltimore, MD, USA.

Roberts-et-al-Poster-VIS2016.pdf - Whole Document

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


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.

Keywords:Visualisations, Data Visualisation, Education (General), Computer Science Education
Subjects:X Education > X900 Others in Education
G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
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ID Code:30419
Deposited On:19 Jan 2018 14:55

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