8–A: Visualizations with a Purpose: Working with Program Offices to Facilitate Data Driven Decisions
Michelle Rogers, Washington State Office of Superintendent of Public Instruction
Learn how a team of data analysts in Washington state intentionally collaborate with program offices, creating visualizations that are informative and actionable. This session covers how our data team works with program offices, guiding them through multiple structured collaborative learning sessions during which all participants deepen their understanding of data availability and how to use it effectively. Through this process, program supervisors receive valuable data-informed insights and data analysts gain a better understanding of the needs of the people that they serve. This session is designed for data analysts, program supervisors, and anyone interested in learning about effective collaboration between the two.
Topic: Data Use
Complexity: Entry Level
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8–B: Interoperability Benchmarking with the Modernization and Future Readiness Initiative
Tricia
Farris, AEM Corporation
Nicholas
Handville, Georgia Department of Education
Dean
Folkers, Council of Chief State School Officers
If you are interested in learning about what a modernization benchmarking assessment can do for you and your organization, join us at this session! We'll be introducing you to the Modernization and Future Readiness Initiative maturity model and rubric, including the newly developed web application that can help you leverage this modernization support in your own work. You will also learn about the progress of one of the twelve states that have gone through this process. Come hear about Georgia's focus areas, their related growth, and lessons learned.
Topic: Other
Complexity: Entry Level
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8–C: A Tour of the MI School Data Web Portal
Roderick
Bernosky, State of Michigan/CEPI
Kristi Martin, Michigan School Data ISD Partner
MI School Data is the state of Michigan's official public portal for education data to help citizens, educators, and policy makers make informed decisions that can lead to improved success for our students. The site offers multiple levels and views for statewide, intermediate school district, district, school, and college level information. During this concurrent session, we will take you on a tour of the MI School Data website and discuss how the site evolved and significant factors that determine our content and design.
Topic: Data Use
Complexity: Entry Level
8–D: Contextualizing Pacific Data Culture: A Community of Practice with REL Pacific
Natasha
Saelua, REL Pacific at McREL International
Christina
Tydeman, REL Pacific at McREL International
REL Pacific staff will share information about a community of practice (CoP) convened with educators in the U.S. Pacific jurisdictions on the topic of data use. Monthly, the CoP reviews U.S. federal resources supporting data use cultures, discusses common characteristics about the culture of data use in Pacific education systems, and shares strategies and practices for working with Pacific educators. Through this presentation, REL Pacific will share how the CoP increases knowledge about existing resources to support education system data use, promotes dialogue about how those resources relate to the regional context, and builds community across Pacific region entities.
Topic: Data Use
Complexity: Entry Level
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8–E: Midwest Road Trip: Successful Data Architectures in Indiana, Michigan and Wisconsin
Eric
Jansson, Ed-Fi Alliance
Debbie
Dailey, Indiana Department of Education
Tammy
Evans, Michigan DataHub
Audrey
Shay, Wisconsin Department of Public Instruction
No state journey is the same and neither is the roadmap for interoperability. Each of these states crafted their own journey to modernizing data infrastructure in their state and in developing services to raise the overall capacity for data use within the state. Join this session to learn more about the interoperability journeys of the Big 10 states of Michigan, Indiana, and Wisconsin.
Topic: Data Standards
Complexity: Intermediate Level
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8–F: Interoperability's Role in Modernization of the SEA
Jay Pennington, Iowa Department of Education
Iowa has taken many steps to modernize our infrastructure, with interoperability at the center of that effort. Learn how we've leveraged SIF, PESC, and CEDS standards to create a connected, secure, and cloud-based ecosystem. As new challenges arise, barriers to getting projects off the ground are greatly reduced due to our investment in SIF's standard REST API. We'll highlight a project-sharing transcript data across secondary and post-secondary institutions, show how our flexible toolset helped solve P-EBT reporting challenges, and walk through our system's architecture. We'll discuss future goals and how our approach to interoperability will help us meet them.
Topic: Data Standards
Complexity: Intermediate Level
8–G: Knowledge Graphs and Survey Studies: Lessons from the NPSAS Knowledge Graph
Nestor
Ramirez, RTI International
Naraya
Price, RTI International
Andy
Kawabata, RTI International
Tracy
Hunt-White, National Center for Education Statistics
Knowledge graphs provide a way to map complex data relationships for rich, emergent querying and knowledge gathering. Many of our long-running surveys and data collection efforts have decades of information and metadata that can be better leveraged using knowledge graphs, allowing for more informed decision-making when planning new iterations of data tasks. This presentation will showcase how graph databases and knowledge graphs can be utilized to inform teams working on long-running studies. The presentation will include examples created using RTI International's prototype for the National Postsecondary Student Aid Study Knowledge Graph.
Topic: Data Management
Complexity: Intermediate Levell
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8–H: NCES: Managing Data Highways to Help Students on the Road to Recovery
Ebony
Walton, National Center for Education Statistics
Josh De La Rosa, National Center for Education Statistics
NCES has long played the role of transportation planner for the nation's data highways, with foresight and flexibility. The latter became necessary when the COVID-19 pandemic required both alternate routes for the National Assessment of Educational Progress (NAEP) and immediate construction of brand-new data collections—such as the Monthly School Survey and School Pulse Panel—to understand the impact on education. Now that our students are on the road to recovery, join us to learn about how NCES has been enhancing the data collections and analyzing/reporting the findings to ensure they continue to be informative for research and practice well into the future.
Topic: Data Collection
Complexity: Entry Level
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8–J: Bridging the Gap in Educational Records for Students in Foster Care: Leveraging Longitudinal Data to Inform Services Decision-Making
Xianxuan
Xu, Virginia Department of Education
Susan
Williams, Virginia Department of Education
For children and youth in foster care, a change in foster home placement sometimes results in school transfers. The lag in records transfer and the delay caused by gathering information on students' educational background from disparate sources can compromise the optimal decisions in identifying needs and providing appropriate educational/social services. The Virginia Department of Education (VDOE), in partnership with the Virginia Department of Social Services (VDSS), has leveraged Virginia's State Longitudinal Data System (SLDS) federal grant to develop a longitudinal data tool to make educational data of student in foster care more accessible to authorized practitioners who assist in determining students' educational placements and enrollment. The data tool, called "The Student Longitudinal Schedule and Couse Record (SLSCR) Query Tool," will be available to local school divisions and local departments of social services in Virginia in 2023. This session will review the development process of the tool, its major functionalities, and the stakeholder engagement plan that is currently undergoing to facilitate a state-wide rollout of the tool.
Topic: Data Collection
Complexity: Entry Level
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8–K: Expanding Your SLDS to Include Special Populations
Ginger
Elliott-Teague, Center for IDEA Early Childhood Data Systems (DaSy), at SRI
Kathi
Gillaspy, Statewide Longitudinal Data Systems at AnLar
Leah
Piatt, Statewide Longitudinal Data Systems and DaSy, at AnLar
Erik
Friend, Oklahoma State Dept of Education
Improving child outcomes often requires access to data elements that teams do not own or manage directly. The DaSy and SLDS teams will discuss data integration terminology, implementation methods, and the varieties of technical assistance available to data users. The presenters will also share and discuss tools and guidance that can be used to frame their implementation of the various methods while highlighting successful models, including a specific state example. The session will have a Part C/B 619 focus, but the concepts will be applicable to all education data programs. A portion of the session will be devoted to audience engagement.
Topic: Data Linking Beyond K-12
Complexity: Intermediate Level
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