The Explanatory Visualization Framework: An active learning framework for teaching creative computing using explanatory visualizations

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Visualizations are nowadays appearing in popular media and are used everyday in the workplace. This democratisation of visualization challenges educators to develop effective learning strategies, in order to train the next generation of creative visualization specialists. There is high demand for skilled individuals who can analyse a problem, consider alternative designs, develop new visualizations, and be creative and innovative. Our three-stage framework, leads the learner through a series of tasks, each designed to develop different skills necessary for coming up with creative, innovative, effective, and purposeful visualizations. For that, we get the learners to create an explanatory visualization of an algorithm of their choice. By making an algorithm choice, and by following an active-learning and project-based strategy, the learners take ownership of a particular visualization challenge. They become enthusiastic to develop good results and learn different creative skills on their learning journey.

Keywords

  • Algorithm design and analysis, Computational modeling, Creativity, Data visualization, Education, Visualization, Explanatory visualization, Information Visualization, Learning Support, Teaching visualization
Original languageEnglish
Pages (from-to)971-801
Number of pages1
JournalIEEE Transactions on visualization and computer graphics
Volume24
Issue number1
Early online date29 Aug 2017
DOIs
StatePublished - Jan 2018

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