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Teaching related areas such as Information Visualization, Scientific Visualization,
Visual Analytics,
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Designing and teaching online and hybrid courses: novel teaching methods,
curriculum design, teaching to diverse audiences, tools and platforms for teaching, assessment techniques for evaluating learning outcomes,
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Enabling and exploiting visualization tools and techniques to teach in other
disciplines.
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Classroom challenges in visualization, e.g. innovative and effective assessment,
engaging student interest, managing diverse student backgrounds, teaching mathematical foundations,
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Incorporating modern technology in visualization courses (e.g. VR, AR, 3D
printing, gaming, etc),
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Bringing visualization research into the classroom,
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Promoting undergraduate research in visualization,
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Visualization Literacy
- models and frameworks for evaluating data visualization literacy, strategies to enhance data visualization literacy in the classroom or with general audiences, case studies of data visualization literacy initiatives.