Program

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
  • Randy Kochevar, Director, Oceans of Data Institute, Educational Development Center, Inc.
  • 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

  • All Teaching & Learning Sessions will meet in the Tamalpais Room

Technology

  • All Technology Sessions will meet in the Kinzie Room
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
  • Kit Martin, Graduate Student, Northwestern University
  • 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.

This first of a two-part session will focus on the question: “What does it mean to be data literate in the age of big data?” Sub-questions might be: What are the overlaps and differences between “traditional” statistics and data science? What kinds of thinking skills are critical to data science/data literacy?

  • Pip Arnold, Principal Consultant, Cognition Education Limited
  • Cliff Konold, Director, SRRI, UMass, Amherst
  • Randy Kochevar, Director, Oceans of Data Institute, Educational Development Center, Inc.
  • Facilitated by Randy Kochevar, Director, Oceans of Data Institute, Educational 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
  • 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
  • Kit Martin, Graduate Student, Northwestern University
  • 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, Director, Oceans of Data Institute, Educational Development Center, Inc.
  • StarLogo: Eli Kosminsky, Software Engineer, The Concord Consortium
3:45 – 5:00 pm Innovations Needed in Data Intensive Curriculum Development II.
This session will build on our “answers” to the first question in Session 1 and will focus on the follow-up question: “How can we support students in becoming data literate?” A sub-question might be: In what ways can/should data science be integrated into a variety of disciplinary topics?

  • Pip Arnold, Principal Consultant, Cognition Education Limited
  • Randy Kochevar, Director, Oceans of Data Institute, Educational Development Center, Inc.
  • Cliff Konold, Director, SRRI, UMass, Amherst
  • Facilitated by Randy Kochevar, Director, Oceans of Data Institute, Educational Development Center, Inc. and Andee Rubin, Senior Scientist, TERC, Inc.
Using Simulations and Modeling Environments as Data Sources.
Discuss the unique challenges of using simulated and model-based data sources with data analysis platforms. These challenges can be both technical and pedagogical. How do the technical demands on the system interfere with or support an activity’s learning goals? Discuss obstacles that exist from a design perspective (user facing) and performance perspective (underlying computational limitation). Developers of the Molecular Workbench, Sage Modeler, Desmos, and statistical simulation scenarios, as well as learning scientists and designers of learning environments will facilitate discussions around these issues.

  • Daniel Damelin, Technology and Curriculum Developer, The Concord Consortium
  • 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

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

Socializing

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

  • All Teaching & Learning Sessions will meet in the Tamalpais Room

Technology

  • All Technology Sessions will meet in the Kinzie Room
8:30 – 9:45 am

Unconference

Participant-organized small-group rounds, 25 minutes each round. Proposals for sessions will be announced at the end the day on Thursday.

  • 8:30-8:35: Go over unconference norms
  • 8:35-9:00 Round 1
  • 9:05-9:30 Round 2
  • 9:30-9:45 Show&Tell
    • 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
  • Mobilize: Rob Gould, Vice Chair of Undergraduate Studies, UCLA
  • NetLogoWeb: Kit Martin, Graduate Student, Northwestern University
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 this session we’ll be talking about all kinds of open source scenarios as they relate to Data Science Education Technology. We’ll look at open data, open source software, and open educational resources and think together about how they can be used well for data science education. Our goal will to be to come up with “guiding beacons” to help build communities, encourage collaboration and 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 Novel Educational Opportunities for Data Exploration.
Join a small group discussion. What untapped opportunities exist for accessing compelling data? What are the characteristics of a data set that make it suitable and accessible for relative novices? How can we work together—in schools, in informal educational settings, in our communities—to build a data literate society?

  • Michelle Wilkerson, Assistant Professor, UC Berkeley Graduate School of Education
  • Randy Kochevar, Director, Oceans of Data Institute, 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
  • Rob Gould, Vice Chair of Undergraduate Studies, UCLA
  • 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

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

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
5:00 pm

Conference ends