Program

This program is a work in progress and is subject to change. We reserve the right to add more fabulous sessions!

Objectives

  • To connect educators, curriculum developers, and software developers around the topic of bringing about more data science education.
  • To put forward suggestions for needed technology and curriculum innovations to encourage learners to work with data.
  • To form and strengthen collaborations, leading to new proposals and projects that bring about more learner engagement with data.

Conference strands

The conference has two strands, Teaching & Learning, and Technology, described below. Focus on a specific area of interest or explore the two different strands throughout the conference. We encourage mixing and matching!

Teaching & Learning

Designed for those thinking about curriculum development, this strand addresses the pedagogical challenges and opportunities associated with making use of data technologies in educational settings. Sessions will include data-driven learning experiences, discussion of lessons learned by curriculum designers, and hearing perspectives on how to apply these experiences and lessons.

Technology

Designed especially for those with programming experience, this strand focuses on software development. You’ll build relevant, timely skills that can be leveraged immediately for creating a web app and make your work more efficient. Together, we’ll share expertise, discuss methods for collaborating on open-source software, and review technologies for making all kinds of data more accessible to learners.

Wednesday, February 15
5:00 pm – 6:00 pm

Registration and Socializing

6:00 pm – 7:00 pm

Dinner

7:00 pm – 8:30 pm

Panel Presentation and Discussion with Participants.

Panelists will present perspectives on issues confronting educators wishing to increase learner engagement with data. How do we integrate acquisition of data science knowledge and skills with curricula in grades K–14 and in informal learning situations? What are the most important experiences for learners to have with data? What are characteristics of the technology learners need for this to take place?

  • Deborah Nolan, Professor of Statistics, University of California at Berkeley
  • Ruth Krumhansl, Principal Scientist, Education Development Center
  • Tim Erickson, Game Developer, Epistemological Engineering
  • Chad Dorsey, President and CEO, The Concord Consortium
  • Moderated by William Finzer, Senior Scientist, The Concord Consortium
Thursday, February 16

 

Teaching & Learning

Technology

8:00 – 8:30 am

Registration and Socializing

  • Tamalpais Room
8:30 – 9:00 am Welcome and Overview of Conference

  • Tamalpais Room
9:00 – 10:15 am Illustrations of Data Science Integration in Subject Matter Teaching.
Try out online materials from projects that have integrated technology for data exploration and analysis into learning STEM content. Join a discussion group led by one of the developers to experience the results of their work and learn about issues they faced relating to pedagogy, content development, and working with teachers.

  • Amy Busey, Research Associate, Education Development Center, Inc.
  • Molly Schauffler, Assistant Research Professor, Tuva & University of Maine
  • Daniel Damelin, Technology and Curriculum Developer, The Concord Consortium
  • Daniel Edelson, Executive Director, BSCS
  • Facilitated by Chad Dorsey, President and CEO, The Concord Consortium
Connecting Technologies I.
Data comes from somewhere, whether it’s a text file, a large database, a simulation, or collaborative data gathering. In workshop format you’ll learn how to use CODAP to visualize data from a source technology of your choice, working with other participants to plan and execute a demonstration of a new CODAP plugin. Novices will work by modifying a simple example while those with software development expertise can start from scratch or from an existing data source application.

  • Jonathan Sandoe, Software Developer, The Concord Consortium
  • Kirk Swenson, Senior Software Engineer, The Concord Consortium
  • Evangeline Ireland, Software Test Engineer, The Concord Consortium
  • Facilitated by Tim Erickson, Epistemological Engineering
10:15 – 10:45 am Software demos and networking opportunities
Demos from 10:20 – 10:40

  • What is CODAP?: William Finzer, Senior Scientist, The Concord Consortium
  • iNZight: Stephanie Budgett, Senior Lecturer, University of Auckland
  • Terra Populus: Tracy Kugler, Research Project Manager, University of Minnesota
10:45 am – 12:00 pm Innovations Needed to Support Data Intensive Curriculum Development I.

In this two-part session you will help develop suggestions for innovations needed to bring about effective data science education. The focus will be on data intensive curriculum development and use of technology. The results of this work will become part of the conference report and will be presented at an NSF Cadre webinar soon after the conference.

  • Pip Arnold, Principal Consultant, Cognition Education Limited
  • Cliff Konold, Director, SRRI, UMass, Amherst
  • Randy Kochevar, Senior Research Scientist, Educational Development Center, Inc.
  • Facilitated by Ruth Krumhansl, Principal Scientist, Education Development Center, Inc. and Andee Rubin, Senior Scientist, TERC, Inc.
Data Technology Integration with Online Curricula
Learners’ interactions with data can be integrated with learning subject matter concepts. View and experience different ways to bring this about. Discuss technological hurdles and user experience issues. Develop wish lists of desired capabilities.

  • Steven Rasmussen, Senior Associate, SR Education Associates
  • Jason Merrill, Lead Calculator Engineer, Desmos, Inc.
  • Daniel Damelin, Technology and Curriculum Developer, The Concord Consortium
  • Jaimin Patel, Engineering, Tuva & University of Maine
  • Facilitated by William Finzer, Senior Scientist, The Concord Consortium
12:00 pm – 1:30 pm Lunch

  • Tamalpais Room
1:45 – 3:00 pm Reports from the Trenches.
Sample work from projects that are currently developing data intensive curriculum materials including Building Models from the Concord Consortium, ESTEEM from North Carolina State University (NCSU), Zoom In Science from EDC, Terra Populus from the Minnesota Population Center, and Ocean Tracks from EDC.

  • Steven Roderick, Consultant, The Concord Consortium
  • Hollylynne Lee, Professor, NC State University
  • Bill Tally, Senior Researcher and Designer, Education Development Center (EDC)
  • Tracy Kugler, Research Project Manager, University of Minnesota
  • Amy Busey, Research Associate, Education Development Center, Inc.
  • Facilitated by Daniel Damelin, Technology and Curriculum Developer, The Concord Consortium
Connecting Technologies II.
Continuation of morning session with special attention to how CODAP lets a plugin know that the user has done something of interest such as select data.

  • Jonathan Sandoe, The Concord Consortium
  • Kirk Swenson, The Concord Consortium
  • Evangeline Ireland, The Concord Consortium
  • Facilitated by Tim Erickson, Epistemological Engineering
3:00 – 3:45 pm Software demos and networking opportunities
Demos from 3:10 to 3:30

  • SageModeler: Daniel Damelin, Technology and Curriculum Developer, The Concord Consortium
  • OceanTracks: Randy Kochevar, Senior Research Scientist, Educational Development Center, Inc.
3:45 – 5:00 pm Innovations Needed in Data Intensive Curriculum Development II.
This session continues the morning session. The goal is to have a publishable list of suggested innovations.

  • Pip Arnold, Principal Consultant, Cognition Education Limited
  • Randy Kochevar, Senior Research Scientist, Educational Development Center, Inc.
  • Cliff Konold, Director, SRRI, UMass, Amherst
  • Facilitated by Ruth Krumhansl, Principal Scientist, Education Development Center, Inc. and Andee Rubin, Senior Scientist, TERC, Inc.
Using Simulations and Modeling Environments as Data Sources.
Learn from developers of NetLogo, Molecular Workbench, Sage Modeler, Desmos, and statistical simulation scenarios how to integrate them into data intensive scenarios, including with CODAP. Discuss technological issues such as performance, data structure, saving state, and degree of integration.

  • Daniel Damelin, Technology and Curriculum Developer, The Concord Consortium
  • Desmos: Jason Merrill, Lead Calculator Engineer, Desmos, Inc.
  • Andrew Zieffler, Senior Lecturer, University of Minnesota
  • Hollylynne Lee, Professor, NC State University
  • Facilitated by Frieda Reichsman, Senior Research Scientist, The Concord Consortium
5:00 – 6:00 pm

Socializing

Unconference Preparation

Come up with your own ideas for the next morning’s unconference. At an unconference participants collaboratively decide on breakout session topics, volunteer to moderate a session, self-assemble panels of experts, serve as recorders and report back in wrap-up sessions. Descriptions of session topics are presented aloud and posted for sign-up.

  • Facilitated by Natalya St. Clair, Research Associate / Project Coordinator, The Concord Consortium
Evening

Self-organized dinner groups.

  • Use the conference Slack channel #dinner-groups to get connected and organize parties. To request a Slack invitation, email dset@concord.org
Friday, February 17

 

Teaching & Learning

Technology

8:30 – 9:45 am

Unconference

Participant-organized small-group sessions. Proposals for sessions will be announced at the end the day on Thursday.

  • Facilitated by Natalya St. Clair, Research Associate / Project Coordinator, The Concord Consortium
9:45 – 10:30 am Software demos and networking opportunities
Demos from 10:00 to 10:20

  • InquirySpace: Daniel Damelin, Technology and Curriculum Developer, The Concord Consortium
  • ZISci: Amy Busey, Research Associate, Education Development Center, Inc.
  • NetLogoWeb
10:30 – 11:45 am Data Games and Data Science Games.
Play data games and data science games, hear short presentations of the creation process, and discuss strategies for using this genre of game in curriculum materials.

  • Tim Erickson, Game Developer, Epistemological Engineering
  • Frieda Reichsman, Senior Research Scientist, The Concord Consortium
  • Lina Chopra Haldar, Research Associate, Heller Research Associates
  • Facilitated by Michelle Wilkerson, Assistant Professor, UC Berkeley Graduate School of Education
Open-Source Opportunities.
In what ways can Data Science Education Technology developers collaborate as a community, leveraging open source software such as CODAP to dramatically enhance learners’ experiences working with data?

  • Virgil Zetterlind, Manager, Protected Seas, Anthropocene Institute
  • Chad Dorsey, President and CEO, The Concord Consortium
  • Kirk Swenson, Senior Software Engineer, The Concord Consortium
  • Daniel Edelson, Executive Director, BSCS
  • Moderated by William Finzer, Senior Scientist, The Concord Consortium
11:45 am – 1:15 pm Lunch

  • Tamalpais Room
1:45 – 3:00 pm The Future of Data Intensive Learning.
Participate in small group discussions. How will learners become adept with data? How will students gain the data science skills and understanding they need to thrive amidst the changes being brought about by the data revolution? What are our roles in bringing this about?

  • Michelle Wilkerson, Assistant Professor, UC Berkeley Graduate School of Education
  • Randy Kochevar, Senior Research Scientist, Education Development Center
  • Jan Mokros, Senior Research Scientist, Maine Mathematics and Science Alliance
  • Sherry Hsi, Senior Research Scientist, The Concord Consortium
  • Facilitated by Cliff Konold, Director, SRRI, UMass, Amherst
DSET Design.
Brainstorm plans for the technologies necessary for data science education, what it looks like, and how to get it developed.

  • Jim Hammerman, Director STEM Education Evaluation Center (SEEC), TERC, Inc.
  • Hollylynne Lee, Professor, NC State University
  • Pip Arnold, Principal Consultant, Cognition Education Limited
  • Facilitated by Tim Erickson, Epistemological Engineering
3:00 – 3:45 pm Software demos and networking opportunities
Demos from 3:10 to 3:30

  • Tuva: Harshil Parikh, Co-Founder, Tuva
  • Data-to-Music API: Takahiko Tsuchiya, Ph.D student in Music Technology, Georgia Institute of Technology
  • FieldScope: Daniel Edelson, Executive Director, BSCS
3:45 – 5:00 pm

Final Session for All—DSET Community Building

DSET Community Building.
What are our shared goals and how can we collaborate? What is the role of technologies like CODAP and others we have seen at this conference?

  • Facilitated by William Finzer, Senior Scientist, The Concord Consortium and Daniel Damelin, Technology and Curriculum Developer, The Concord Consortium
  • Presentations
    Technology strand participants demo their creations. Curriculum strand participants share their suggestions for needed innovations in technology and curriculum.

    • Facilitated by Natalya St. Clair, Research Associate / Project Coordinator, The Concord Consortium
5:00 pm

Conference ends