IX–A Easing the Data Burden: California's Practical Use of Common Education Data Standards (CEDS)
Sonya Edwards, California Department of Education
Nancy Copa, Common Education Data Standards, AEM Corporation
Are you stressed from analyzing new or changing reporting requirements to determine what data might be missing from your source systems? Would you like to minimize the time it takes you to identify what might be impacted if you change the data you collect? Come learn how California used Common Education Data Standards (CEDS) to execute practical use cases and the lessons it learned. In this interactive session, participants will have an opportunity to explore how they might adapt California's approach to meet their organization's data management challenges.Complexity: Intermediate Level
IX–B Using Data to Feed Children: Improving Accuracy in Identifying Eligible Students for Direct Certification
Rebecca Lamury, Louisiana Department of Education
Juan Guerrero, eScholar
States face a challenging task when finding students who are eligible for free or reduced-price meals. For Louisiana, this is further complicated by the legal restrictions that prevent the Louisiana Department of Education from receiving or accessing student personally identifiable information (PII). Participants will learn from Louisiana's approach to using an identity-matching application to improve their direct certification systems. The presenters will discuss matching and identifying approaches that are district driven, identifying students attending private schools, resolving near matches within the identity matching application, using files from multiple sources (e.g., governance and building trust across data partners. Specifically, the presenters will discuss their first SLDS research project, a math preparedness study that examines issues of math placement and credit transfer across institutions. They will include early examples of how Iowa high schools and colleges have changed practices to improve student success.Complexity: Intermediate Level
IX–C Privacy Technical Assistance Center (PTAC): Updates on Recent Guidance
Tracy Koumare and Ben Ferraro, U.S. Department of Education
Ross Lemke, AEM Corporation
Are you aware of the Privacy Technical Assistance Center's (PTAC's) latest guidance, videos, and brand new website? PTAC has had a busy year, with new videos, new documents, and a new public face. Its new website, studentprivacy.ed.gov, combines the resources from ptac.ed.gov and familypolicy.ed.gov and presents all of the Department's resources on privacy in a single, easy-to- navigate place. PTAC has also released new guidance on using financial aid data for research and the privacy implications for Integrated Data Systems. At this session, PTAC will discuss these resources along with the various types of technical assistance available, including data breach exercises, security policy reviews, district trainings, and much more!Complexity: Entry Level
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IX–D Using Survey Data to Align Policy and Practice: How State Partnerships Can Support This Work
Abigail Cohen, Data Quality Campaign
Amber Taylor, Project Tomorrow
Valerie Emrich, Maryland State Department of Education
Survey data can help states better understand their stakeholders' unique needs and create more responsive policy. But the work can be time intensive and seem impractical for states that are already stretched on time and resources. Partnerships with external organizations, however, can help address these capacity challenges by connecting states with researchers and advocates who can support the work from start to finish. Join the Data Quality Campaign, Project Tomorrow, and a representative from Maryland to hear how states can leverage partnerships to collect the data they need and use it to inform policy and practice at all levels.Complexity: Entry Level
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IX–E Fostering Connections in Education
Dean Folkers and Michele Borg, Nebraska Department of Education
Ed Comer, Certica Solutions
Timely, appropriate cross-systems information sharing is crucial to improving school stability and education outcomes for students involved in the child welfare, juvenile/criminal justice, and behavioral health systems. While these systems are all deeply committed to the safety, well-being, growth, and achievement of children, each operates independently based on its own policies, regulations, terminology, and data technology. This session will highlight a proposed statewide infrastructure of cross-systems information-sharing processes and privacy protections supported through secure data linkages between the schools and involved systems, with each maintaining direct control over access and use of its data.Complexity: Intermediate Level
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IX–F Ensuring Data Quality for a Combined Measure of Teacher Effectiveness
Tara Tucci, Pittsburgh Public Schools (PA)
Matthew Johnson, Mathematica Policy Research
Since 2012, Pittsburgh Public Schools (Pennsylvania) has implemented a combined teacher-effectiveness measure using data from classroom observations, value added, student learning objectives, and student surveys. Although extensive research exists on the statistical properties of these measures, districts and states have far less guidance about combining these data for teacher evaluation purposes and ensuring integrity of the resulting measure. This session will describe Pittsburgh's data assurance process, conducted in collaboration with Mathematica Policy Research, which includes comparing score distributions across teacher groups and over time, and rescaling value-added measures to permit fair comparison with teachers in nontested grades and subjects.Complexity: Intermediate Level
IX–G Together Everyone Achieves More
Maureen Wentworth and Sean Casey, Ed-Fi Alliance
Kimberly Gondwe, Council of Chief State School Officers
It is often said that “if you want to go fast, go alone. If you want to go far, go together.” This is never truer than when taking on large-scale systems change and supporting education reform. This session will address lessons learned in developing and supporting networked improvement communities. The presenters will discuss implementation and improvement science and reflect on ways they can go farther together.Complexity: Entry Level
IX–H Big Data in Texas: Linking Beyond K–12
Celeste Alexander, The University of Texas at Austin
Julie Eklund, Texas Higher Education Coordinating Board
Texas educates approximately 5.2 million PK–12 students, 1.6 million postsecondary students, most of whom enter the Texas workforce. Through legislation, Texas created three Education Research Centers (ERCs) to serve as data repositories that allow researchers to examine partially deidentified data from across the public education, higher education, and workforce systems to analyze education policy and program effectiveness. This presentation will explore the policy context and the resulting collaboration between the universities hosting the ERC and the state agencies collecting the data. It includes a discussion of experiences and policy development from both the state and ERCs' perspective, from state law to implementation.Complexity: Entry Level
IX–I The Road to Data Consolidation: Persuasion, Frustration, and INTEGRATION
Shiyloh Duncan-Becerril and Brandi Jauregui, California Department of Education
This workshop details California's ongoing efforts to merge a state-level data system for students with disabilities into the larger statewide longitudinal student data system, the California Longitudinal Pupil Achievement Data System (CALPADS). This workshop will provide attendees with strategies to integrate two fully developed data systems at the state and local education agency levels. Topics include initial stakeholder engagement; gap analysis and evaluation; data restructuring and architecture; outreach and training; empowering local education agencies (LEAs) to collaborate and develop data governance; and obstacles and pitfalls.Complexity: Entry Level
IX–J Using Data Dashboards to Assist With Instruction, Planning
Jennifer Koester and Caitlin Gleason, Delaware Department of Education
All Delaware kindergartens are required to assess incoming students. The Delaware Department of Education has created several tools and drafted best practices to assist with reliability and utility of assessment results. One such tool, the Excel-created data dashboard for each district, helps schools use results for planning, accountability, and drafting plans for Individualized Education Programs (IEPs). It also allows schools to track student (and teacher) progress and compare data year to year. This session will describe the data dashboards that Delaware's school districts use and share details of their effectiveness.Complexity: Intermediate Level
Room | Location | |
---|---|---|
A | Palm Court Ballroom | Lobby Level |
B | State Ballroom | Lobby Level |
C | East Ballroom | Lobby Level |
D | Chinese Ballroom | Lobby Level |
E | Virginia | Second Level |
F | South Carolina | Second Level |
G | Rhode Island | Second Level |
H | Pennsylvania | Second Level |
I | Massachusetts | Second Level |
J | New York | Second Level |