NSF Education Data Analytics Collaborative Workshop

Welcome to NSF Education Data Analytics Collaborative Workshop!

Currently across K-12 education, schools and districts are investing in Instructional Data Warehouses (IDW) and School Information Systems (SIS) in an effort to provide actionable information for educators to inform evidence-based practice and decision-making. Yet, across research and practice, much work remains to understand the types of data to display that are most helpful to teacher, principal, and central office decision making, as well as what types of data dashboards, visualizations, and UX best serve the needs of schooling communities. This work requires insights from both educators in schools as well as the current work of education data scientists working at the intersection of research and practice. As part of a larger National Science Foundation funded project, we are gathering educators and education data scientists together for an exciting interactive two-day event to learn together through a datasprint design-based collaborative workshop. The goal of the event is to work to understand the needs of educators around education data and data dashboards, and then iteratively build prototype visualizations and code together to help address educator data use needs across the system. The event will be held on December 5 and 6, 2019, at Teachers College, Columbia University’s state-of-the-art 21^st century collaborative learning space, the Smith Learning Theater. This NSF funded project is part of a larger Building Community and Capacity (BCC) collaboration with the 56 school districts of Nassau County Long Island, New York.

This event is the final phase of the collaborative National Science Foundation (NSF) funded research project (NSF #1560720) "Building Community and Capacity for Data-Intensive Evidence-Based Decision Making in Schools and Districts" which is a collaborative partnership on data use and evidence-based improvement cycles in collaboration with Nassau County Long Island New York Board of Cooperative Educational Services (BOCES), and their 56 school districts. [https://www.nsf.gov/awardsearch/showAward?AWD_ID=1560720]

Registration has closed.

Please contact Seulgi Kang <sk4652@tc.columbia.edu> for more information.

Poster

Agenda

December 5th (THURS), 2019

8:30-9:30 Registration, check-in, and breakfast

9:30-10:00 Pre-event activities for those who arrive early (soft start)

10:00-10:10 Welcome

Speaker : Dr. Jeffrey Young
Professor of Practice in Education Leadership; Director of Programs in Education Leadership and Co-Director Urban Education Leaders Program Teachers College, Columbia University; and former Superintendent of Schools, Cambridge, MA

10:10-11:00 Data and evidence use perspectives through building a datasprint team

11:00-12:00 Leading with Evidence in Schools. Examining how research and theory apply (or not) to practice in your schools.

Speaker: Dr. Alex J. Bowers
Associate Professor of Education Leadership, Teachers College, Columbia University; Director of the Education Leadership Data Analytics (ELDA) Research Group

12:00-1:00 Lunch provided

Speaker : Professor Richard Halverson
Associate Dean for Innovation and Partnerships; Co-Director, Wisconsin Collaborative Education Research Network; Professor Educational Leadership & Policy Analysis; Co-author of the recent book "Rethinking Education in the Age of Technology: The Digital Revolution and Schooling in America"

1:00-1:15 Quick break for work, life, and email checks

1:15-2:30 National-level education data scientists present their most recent findings and datasprint teams work to discuss and incorporate new ideas to inform evidence use practice in schools.

2:30-2:45 Coffee break

2:45-3:45 Datasprint teams collaboratively and iteratively integrate multiple ideas and perspectives learned throughout the day and informed by their practice to generate the central questions around evidence use and visual data displays for schools that you work with.

3:45-4:15 Organization and preparation for Friday session

4:15-4:30 Coffee Break.

End-of-day for attendees with long commutes (such as to Long Island).

4:30-5:30 (Optional) Data scientist data visualization code and dataset workshop.

15 minute quick training sessions on shared data science visualizations from expert attendees from across the field to prep for Friday datasprint.

December 6th (FRI), 2019

8:30-9:15 Registration, check-in, and breakfast

9:15-10:00 Pre-event activities for those who arrive early (soft start)

10:00-10:45 Data visualization and Dashboard Expo

National experts and organizations present current school-focused examples of data visualizations and dashboards.

10:45-11:00 Introduction of datasets for datasprints

11:00-11:15 Discussion of Thursday (Day 1) data use priority questions created by the teams

11:15-12:00 Datasprint working session

Data scientists and educators work iteratively in a structured format to draft and build visualizations with data that addresses the priority questions of the teams.

12:00-1:00 Working Lunch (Lunch provided)

1:00-1:15 Quickbreak for work, life, and email checks

1:15-2:15 Datasprint continues

Additional protocol for individuals to visit, discuss, and share with other teams ideas, visualizations, and solutions to specific problems.

2:15-2:30 Coffee break

2:30-3:45 Final shared discussion and viewing of datasprint

3:45-4:15 Conclusion and next steps

Location

Smith Learning Theater (4th fl of Russell Hall), 525 W 120th St., New York, NY 10027

Link to: Smith Learning Theater

[Directions to Smith Learning Theater, Teachers College]

By Subway

The subway station serving Teachers College is the 116th Street stop of the No. 1 subway train (red line). Be sure that you are on (or transfer to) the 1 train at the 96th Street Station. The express lines (No. 2 or No. 3 trains) do not serve Columbia University.

At Penn Station & the Port Authority Bus Terminal: Find Subway Entrance and Take line 1.
At Grand Central Station: the Shuttle (S) goes to "Times Square" 42nd Street, offering access to the No. 1 trains going Northbound/Uptown.

2. By Train

Trains to New York arrive at Grand Central Station or Pennsylvania Station. Visitors arriving at these stations can take either public transportation or a taxi north to the campus.

3. By Car

Parking

While West 120th Street offers metered parking on both sides of the street, parking on New York City streets in the Columbia University area is limited.

Nearby off-street parking facilities include (Please call garages directly for current prices and reservations):

Morningside Garage, 3100 Broadway (at 123rd Street), (212) 864-9877
E & B Operating Corp., 137 West 108th Street (between Amsterdam and Columbus Avenues), (212) 865-8315
Park Yorkshire Garage, 151 West 108th Street (between Amsterdam and Columbus Avenues), (212) 865-2314
Upper Westside Parking Garage, 234 West 108th Street (between Amsterdam Avenue and Broadway), (212) 222-8800
Riverside Church Garage, 120th Street (between Riverside Drive and Claremont Avenue), (212) 870-6736
Evening parking is available at Riverside Church (call (212) 866-1000

For More Information, Visit Teacher College Website: https://www.tc.columbia.edu/about/visit/