In this workshop, we will continue to sustain a community of practice that provides a structured medium to learn data visualization teaching strategies from each other. The focus is on sharing innovations in the classroom when teaching data visualization. The half-day interactive workshop that will include lightning talks/demonstrations followed by breakout sessions focused on topics related to teaching large classes, teaching at a liberal arts college, teaching a professional masters' course, and so on.
Important Dates
All deadlines are at 11:59pm PDT.
Topics
The workshop submissions will be submitted for archival to the IEEE Digital Library as well as made available on the conference USB drive and the workshop website. The workshop welcomes short paper submissions (4 +1 for references) on a variety of topics, including, but not limited to the following:
- Model assignments highlighting innovative, ready-to-adopt materials
- Pedagogical strategies targeted towards large classrooms (active learning, peer grading, etc.)
- Approaches to effectively teach in a liberal arts / small college setting
- Software that assists the teaching/learning process and how it was used in the classroom
- Resources and strategies for teaching specific datavis sub-areas or topics: perceptual issues, data cleaning, visualization literacy, geovisualization, etc.
- Innovative means for integrating research as part of coursework
- Material for teaching ethical considerations with regard to data visualization
- Flipped classrooms, alternative lecture formats, and other pedagogical strategies
- Material for teaching ethical considerations with regard to data visualization
- Demonstrations of in-class exercises and technologies for facilitating learning
Submissions to the workshop should describe ideas and/or pedagogical examples that have been tried and tested in the classroom.
Schedule
- Lightning talks (~5 minutes) - Authors of the accepted submissions will be invited to give a lightning talk at the workshop
- Breakout sessions - Based on the received submissions we plan to have smaller breakout sessions discussing topics such as teaching large classes, teaching
at a liberal arts college, teaching a short-form courses, strategies to attract new students into data visualization, and so on.
Submission
Submissions should be between 2 to 4 pages. One extra page of references is allowed (for a maximum of 5 pages with the last page containing only references). Submissions should follow the VGTC Conference formatting guidelines at:
http://junctionpublishing.org/vgtc/Tasks/camera.html
Abstracts may be submitted via PCS at:
https://precisionconference.com/~vgtc