August 11th (8:30 am – 6:00 pm) and August 12th (9:00 am – 3:30 pm)
University of California, Berkeley – School of Information (South Hall)
(Note: Breakfast and Lunch will be provided both days)
Thursday, August 11th
8:30 – 9:10 Registration
9:10 – 9:30 Opening Remarks from Organizers
9:30 – 11:00 PANEL: Education Research. How Did We Get Here, What Do We Know?
Introductions by Joseph Polman
Andee Rubin, Dani Ben-Zvi, Rogers Hall; Janet Kolodner discussant
11:00 – 11:30 Introductions/Icebreakers
11:30 – 1:00 Jigsaw Activity Part 1
The goal of this activity is for people from different fields and areas of focus to form mixed groups.This is a chance to learn from others: What does data literacy in today’s world look like? How does this differ between citizens and professionals? To concretize these questions, each group will work together to envision what would be an ideal intro to data science at the K-12 level – in terms of a syllabus, activity, set of experiences or curriculum. Our goals are to identify the major concepts, themes, vocabularies, findings, and questions for diverse participants that all identify as Data Science Educators.
1:00 – 2:30 Lunch + KEYNOTE: Computer Science / Infoviz. What Is the Field?
Introduction by Tapan Parikh
Maneesh Agrawala is a Professor of Computer Science and Director of the Brown Institute for Media Innovation at Stanford University. He works on computer graphics, human computer interaction and visualization. His focus is on investigating how cognitive design principles can be used to improve the effectiveness of audio/visual media.
2:45 – 3:00 Pitch “Next Steps” Working Group Sessions
During Day 2, time is reserved for people to form groups to explore collaborations, identify specific themes and questions of interest for the emerging field of Data Science Education, and/or work on community-advancing deliverables such as reports, resource websites, or thematic conference/journal submissions. This session will introduce ideas for working groups, and allow space for participants to put forth their own suggestions.
3:00 – 4:00 Jigsaw Activity Part 2
Second phase of Jigsaw activity. Participants gather in new mixed groups and present their vision, questions, vocabulary, and issues related to Data Science Education to others. What stands out in terms of similarities/ differences across the group? How can we work to develop a shared language re: Data Science Education? What are points of contact and disconnect across fields that should be addressed by our community?
4:00 – 4:30 Break / Set up for demo/poster/artifact sharing session
4:30 – 6:00 Demo/Poster/Artifact Sharing Session
Get to know what we are all working on! All participants are invited to bring projects, tools, student work, fliers, or other artifacts to share in a small demo session. There are plenty of tables and outlets, but let us know if you have another other material or support needs.
Friday, August 12th
9:00 – 9:20 Reminder/Addition of “Next Steps” Working Groups
Remind participants of the working groups that will form, and allow participants interested in forming their own groups to announce their intentions.
9:20 – 10:30 Next Steps Working Group Session
10:30 – 12:00 PANEL: Formal and Informal Educators. How to Move Forward?
Introduction by Victor Lee
Lissa Soep, Kristin Fontichiaro, Catherine Cramer; David Custer discussant
12:00 – 2:00 Lunch Next Steps Working Group Session
2:00 – 3:00 Big Picture Session
Led by Tapan Parikh. Facilitated discussion to extract and synthesize themes, common questions, needs for the emerging Data Science Education research community.
3:00 – 3:30 Wrap Up, Next Steps, Goodbyes