2-A: Here's How the New School-by-School Spending Data is Changing the Landscape of Financial Decisions
Jessica
Swanson, Edunomics Lab, Georgetown University
Sonja
Robertson, Mississippi Department of Education
Anne Marie
Gordon, San Francisco Unified School District
Harold
Border, Orange County Public Schools
States and districts now have access to several years of ESSA-mandated school-by-school spending figures. This session will document the different ways that practitioners are using the data to inform spending, equity, and school improvement. Leaders from different levels in the system will share their data displays alongside their experiences and the challenges that come with using these new data. Presenters will also offer concrete ways that the data can inform the intense financial decisions coming ahead as budgets tighten. Finally, presenters will offer their views on what's ahead with these game-changing data for equity and financial decision making.
Topic: Fiscal Data
Complexity: Intermediate Level
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2–B: A Fork in the Road: Data Use and Research that Promotes Evidence-Based Decision-Making in Pennsylvania.
Candy
Miller, Pennsylvania Department of Education
Rhonda Johnson, Pennsylvania Department of Education
Megan
McGinley, Pennsylvania Department of Education
Rosemary
Riccardo, Pennsylvania Department of Education
This session will provide an overview of research at the Pennsylvania Department of Education (PDE) and present findings from multiple studies completed over the last year by the PDE Research Team to address high priority questions from the state Research Agenda. The studies are specific to work-based learning for CTE and non-CTE students, postsecondary enrollment trends for high school graduates during the Covid-19 pandemic, and postsecondary education achievements for different populations in Pennsylvania. This session will include information on the questions addressed, how multiple sources of data were utilized, methods, major findings, and potential implications for policy and practice.
Topic: Data Use
Complexity: Intermediate Level
2–C: Education Paths for Special Student Populations
Heather McCabe, Office of Financial Management
Using data from the Education Research and Data Center P20W data warehouse, this study looks at a cohort of Washington public school students expected to graduate high school in 2015 and follows the cohort until 2021 (six years). It explores long-term post-secondary education enrollment and completion, employment, income, work hours, and apprenticeship outcomes for students receiving special education services, multilingual learners, and participants in alternative learning experiences.
Topic: Data Use
Complexity: Entry Level
2–D: Artificial Intelligence and Data Science for SEAs – A Framework and Roadmap
Nicholas Handville, Georgia Department of Education
As part of GaDOE's Data Modernization Initiative, the agency is developing an AI and data science framework and roadmap focused on how an SEA should leverage artificial intelligence and data science to support stakeholders and improve agency operations and outcomes. In this session, GaDOE will present version 1.0 of its framework and roadmap, along with a tool to support other SEAs in mapping out a state-specific roadmap for AI success. Session attendees will have an opportunity to share their state's challenges and ideas for future evolution of both the framework and roadmap.
Topic: Other
Complexity: Intermediate Level
2–E: Disclosure Avoidance: An Effort to Streamline Redaction
Beth Kelly, Kentucky Center for Statistics
When working with administrative data, it is important to safeguard against disclosure of sensitive data. This presentation will discuss several approaches to disclosure avoidance, one of which is to suppress counts that are too small. However, redaction in presenting counts can lead to a "snowball effect" where more and more data needs to be redacted in order to avoid accidentally revealing sensitive information by simple subtraction from a total. The presentation will also focus on a method to present counts while implementing redaction quickly and effectively.
Topic: Data Privacy
Complexity: Intermediate Level
2–F: Consistency & Interoperability of Tribal Affiliation Data Collection
Erik
Friend, Oklahoma State Department of Education
Nate
Beelen, Michigan Department of Education
Alex
Red Corn, Kansas Advisory Committee on Indian Education (KACIE) and Kansas Association of Native American Educators (KANAE)
Presenters from the Indigenous Education State Leaders Network and/or the Indigenous Student Identification Project will provide an overview of the increasing number of states that are collecting tribal affiliation data, the varying ways in which they are collecting it, and current efforts to standardize collection of this data across states and systems. Representatives of the Office of Indian Education will address the newly-available opportunity to integrate Title VI Indian Education Act eligibility information into student information systems and how to work with OIE to ensure the integration meets the standards of that office.
Topic: Data Collection
Complexity: Entry Level
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2–G: Forum Guide to State Education Agency Support for Local Education Agencies in Civil Rights Data Reporting
Georgia
Hughes-Webb, West Virginia Department of Education
DeDe
Conner, Kentucky Department of Education
Susan
Williams, Virginia Department of Education
Published in 2023, the Forum Guide to State Education Agency Support for Local Education Agencies in Civil Rights Data Reporting presents a variety of effective methods through which state education agencies (SEAs) can support their local education agencies (LEAs) in reporting civil rights data to the U.S. Department of Education's Office for Civil Rights. In this session, these best practices will be reviewed and several SEAs will provide detailed case studies on how they currently support their LEA reporting.
Topic: Data Collection
Complexity: Entry Level
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2–H: Shaping the Future of Common Education Data Standards (CEDS)
Ross
Santy, National Center for Education Statistics
Jim Campbell, AEM Corporation
Common Education Data Standards (CEDS) has been developing and expanding for almost 15 years. During that time, an Open Source Community (OSC) has emerged and grown to guide the development of the standard and related technical tools. Join us to hear from CEDS leaders about how stakeholder driven input from the OSC is shaping the future of CEDS. This will include the future priorities and a vision for the next steps ahead in the continued evolution of CEDS.
Topic: Data Standards
Complexity: Entry Level
2–J: Practical Applications of Data from the School-Level Finance Survey (SLFS)
Stephen Q.
Cornman, U.S. Department of Education
Osei Ampadu, U.S. Census Bureau
Steve Wheeler, U.S. Census Bureau
Malia Nelson, U.S. Census Bureau
Since 2014, the School-Level Finance Survey (SLFS) has collected expenditures at the school level by functions and objects of interest such as instruction, support services, salaries, and various technology costs. This session presents highlights and examines practical uses of these data as collected through FY 19 (School Year 2018–19). Analysis of SLFS expenditure data will be presented across a variety of school-level factors, including geographic locale, charter status, multiple poverty indicators, and pupil/teacher ratio. These analyses will demonstrate to potential data users the utility of the SLFS for research, policy, and other purposes of public interest.
Topic: Fiscal Data
Complexity: Intermediate Level
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2–K: Multi-State Data Collaboratives
Khudodod
Khudododov, Rutgers University
Dana
Brandt, DataSpark/Rhode Island Longitudinal Data System
Matt
Berry, Kentucky Center for Statistics
States and local regions have long collaborated on economic development, emergency response, and workforce strategies. Despite this history, there lacks an infrastructure for interstate data sharing to identify evidence-based policy that expands beyond state borders. States across the country are participating in multi-state data collaboratives to address this challenge. Pilot initiatives have identified concentrated areas of unemployment insurance claimants and reduced the gap in postsecondary outcomes for those who move out of state. This session includes representatives from three states to share their experiences, challenges, and benefits of multi-state collaboratives.
Topic: Data Use
Complexity: Entry Level