TY - JOUR

T1 - The Explanatory Visualization Framework: An active learning framework for teaching creative computing using explanatory visualizations

AU - Roberts, J. C.

AU - Ritsos, P. D.

AU - Jackson, J. R.

AU - Headleand, C.

PY - 2018/1

Y1 - 2018/1

N2 - 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.

AB - 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.

KW - Algorithm design and analysis

KW - Computational modeling

KW - Creativity

KW - Data visualization

KW - Education

KW - Visualization

KW - Explanatory visualization

KW - Information Visualization

KW - Learning Support

KW - Teaching visualization

U2 - 10.1109/TVCG.2017.2745878

DO - 10.1109/TVCG.2017.2745878

M3 - Article

VL - 24

SP - 971

EP - 801

JO - IEEE Transactions on visualization and computer graphics

JF - IEEE Transactions on visualization and computer graphics

SN - 1077-2626

IS - 1

ER -