STATS-DC

9–A: Bite Off As Much As You Can Chew: Choose a Priority Use Case and Run with It

Sean Casey, Ed-Fi Alliance
John Watson, San Diego County Office of Education

Solid, real-time, and comprehensive data can go a long way in solving a myriad of education challenges, and sometimes it's hard to pick just one! After years of helping ed agencies implement interoperability, we've learned that targeting one to start is the biggest predictor of success. Join this session as we explore and explain how we are approaching problem solving with data one high priority educational use-case at a time in the Ed-Fi Community, with step-by-step guidance for technical and program leaders, and real field use, validation, and iteration to drive maximum value and impact.

Topic: Data Use
Complexity: Entry Level

9–B: Pandemic Readiness Through Data Interoperability in Wisconsin

Elise Hawthorne, Project Unicorn, InnovateEDU
Dan Retzlaff, Wisconsin Department of Public Instruction
Melissa Straw, Wisconsin Department of Public Instruction

Accessing vaccination records, identifying students without internet access, and responsive validation processes that ensure data accuracy: even before knowing how crucial the need for this would be in 2020 and 2021, the Wisconsin Department of Public Instruction was ready. Attendees to this session will learn how data interoperability enabled Wisconsin to meet critical data needs during the pandemic across the state, and will leave this session with a greater understanding of the gains that data interoperability can unlock in education.

Topic: Data Standards
Complexity: Intermediate Level

9–C: What is a Modernized Statewide Student Information System and Data Collection Architecture?

Aziz Elia, CPSI, Ltd.
Erik Friend, Oklahoma State Department of Education
John Paul, Wyoming Department of Education

Join Erik Friend from the Oklahoma State Department of Education and John Paul from the Wyoming Department of Education as they discuss modernizing their statewide data collections and student information systems. They will discuss how their states have automated the real-time collection of data from their districts and how the data is being prepared to populate Generate and build towards a CEDS-Based SLDS. Erik and John discuss the issues and how they are each building modernized, cost-effective, and reliable data stores for Generate/CEDS through the use of readily available toolsets.

Topic: Data Collection
Complexity: Entry Level

9–D: Creating "Win-Win-Win" Scenarios in Establishing Common Data Privacy Expectations: A Case Study for Schools, States, and Marketplace Providers

Andy Bloom, McGraw Hill
Larry Fruth, Access 4 Learning
Libbi Garrett
Steve Smith, Cambridge Public Schools
Chris Wherley, Learning Technology Center of Illinois

The Student Data Privacy Consortium (SDPC) has 32 Statewide Alliances addressing data stewardship issues for schools, states and marketplace providers. This session focuses on why the SDPC is successfully growing by establishing clear expectations for all data players and the various collaborations driving its success.

Topic: Data Privacy
Complexity: Intermediate Level

9–E: Developing a Common Approach to Reporting Postsecondary Earnings Outcomes

Bill Hurwitch, SLDS State Support Team
Hunter Morancy, Center for Workforce Research and Information at the Maine Department of Labor
Ryan Murphy, Iowa Workforce Development
Paula Nissen, Iowa Department of Education
Kristin Wolff, Social Policy Research Associates

States involved with the SLDS and WDQI grant programs have been reporting postsecondary employment outcomes and earnings for a number of years, but without consistent data standards and measures. Members of the SLDS and WDQI state support teams along with a panel of state experts will discuss approaches to providing postsecondary wage reporting and outcomes based on common definitions and data standards.

Topic: Data Linking Beyond K-12
Complexity: Intermediate Level