- Surveys & Programs
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- Overview
- Agenda At-a-Glance
- Agenda Addendum
- Evaluation
- Agenda with Session Descriptions
- Common Core of Data (CCD) Fiscal Coordinators' Training
- Opening Plenary Session
- EDFacts and Common Core of Data (CCD) Nonfiscal Coordinators' Training
- Concurrent Session I
- Concurrent Session II
- Concurrent Session III
- Concurrent Session IV
- Concurrent Session V
- Concurrent Session VI
- Concurrent Session VII
- Concurrent Session VIII
- Concurrent Session IX
- Concurrent Session X
- Concurrent Session XI
- Concurrent Session XII
- Keynote Speaker Biography
- Demonstration Descriptions
- Topic Index
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Contact
Concurrent Session VI Presentations
Wednesday, July 13, 2016
11:30 am – 12:30 pm
VI–A: Beyond Words: Privacy Technical Assistance Center (PTAC) Video Library Overview
Baron Rodriguez and Eric Gray, Privacy Technical Assistance Center
So much to read, so little time? No worries. Privacy Technical Assistance Center (PTAC) has you, your parents, and districts covered with a variety of video resources to make your lives easier. The PTAC team will demonstrate videos custom made for stakeholder-specific audiences around data privacy and data security. These videos were made to share, so consider linking to these videos on your agency privacy and/or data pages!
Complexity: Entry Level
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VI–B: Title I Allocations
Carolyn Gann and Ian Millett, U.S. Census Bureau
William Sonnenberg, National Center for Education Statistics
The Title I Allocations process involves numerous subject matter specialists from various agencies. For more than 50 years, the National Center for Education Statistics (NCES) has managed the complex processes of Title I. Since 1997, the annual production and use of school-age poverty estimates has evolved into a multistep project undertaken by the U.S. Census Bureau and NCES. This presentation will describe the allocation process, including state revenue and expenditure data submission dates; state per pupil expenditure (SPPE) calculations; the school district boundaries biennial update; and the model-based procedures used to create the school-district-level poverty estimates and the calculation of final allocations.
Complexity: Intermediate Level
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Title I Allocations
(3.34 MB)
VI–C: North Carolina Early Childhood Integrated Data System (NC ECIDS) Under the Hood: Data Linking and Management Strategies
Tom Frantz, North Carolina Department of Information Technology
Carolyn Cobb, North Carolina Division of Child Development and Early Education
This session will provide a look behind the scenes at the North Carolina Early Childhood Integrated Data System (NC ECIDS), including how the data are stored, managed, and integrated to link program data using a federated data model. We will discuss accomplishments and lessons learned with building the infrastructure for the data system, including leveraging existing unique identifier software, mapping to Common Education Data Standards (CEDS), and creating data crosswalk tables in the state data warehouse. Lastly, this session will provide a preview of the NC ECIDS web portal, including its standard and customizable reports.
Complexity: Intermediate Level
VI–D: Accessing and Exploring the National Center for Educational Statistics (NCES) Data: Distance Learning Dataset Training System (DLDT) and the Common Core of Data (CCD)
Stephen Cornman, Andrew White, and Mark Glander, National Center for Education Statistics
The National Center for Education Statistics (NCES) has several state-of-the-art data tools that allow users to easily access and analyze data. This session will introduce NCES’ Distance Learning Dataset Training System (DLDT), which provides information about all NCES datasets and the tools that users need in order to find published reports, explore and acquire data, create data files, and conduct analyses in selected statistical software packages. The DLDT also provides instruction in how to properly use NCES public-use and restricted-use datasets. The DLDT can be found at https://nces.ed.gov/training/datauser/. This session will also offer in-depth instruction on the Elementary/Secondary Information System (ElSi) and advice on using the ElSi data tool to navigate five NCES data sets, including the National Public Education Financial Survey (NPEFS); the School District Finance Survey (F-33); the School Universe Survey; the Local Education Agency Universe Survey; and the State Nonfiscal Survey from the Common Core of Data (CCD). This section offers interactive training on the ElSi data tool that allows the data user to create user-specific tables of public school data by selecting data elements from over 400 variables at the state, district, or school level. The data tool can be found at http://nces.ed.gov/ccd/elsi/.
Complexity: Intermediate Level
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Accessing and Exploring the National Center for Educational Statistics (NCES) Data: Distance Learning Dataset Training System (DLDT) and the Common Core of Data (CCD), Part I
(261 KB)Accessing and Exploring the National Center for Educational Statistics (NCES) Data: Distance Learning Dataset Training System (DLDT) and the Common Core of Data (CCD), Part II
(41 KB)
VI–E: Reducing Barriers to Rigorous Evaluation: New Tools for School Districts
Katrina Stevens, U.S. Department of Education
Alexandra Resch, Mathematica Policy Research
School administrators routinely make decisions about educational technologies that are intended to improve student outcomes, but they have limited capacity to assess whether these products meet their students’ needs. Through the U.S. Department of Education’s Office of Educational Technology (OET), a web-based interactive toolkit is being developed to meet the needs of districts seeking to evaluate the effectiveness of the education technology products they use. This session will overview the tools that are being developed and discuss their usability and application in education settings, including the early implementation experiences in the project’s partner districts.
Complexity: Entry Level
VI–F: Inner Workings and Products of the Kentucky Longitudinal Data System (KLDS)
Angie Tombari, Scott Secamiglio, Jessica Cunningham, Bryan Eifler, and Richard Mensah, Kentucky Center for Education and Workforce Statistics
The Kentucky Center for Education and Workforce Statistics (KCEWS) is tasked by the state of Kentucky with the responsibility of housing the Kentucky Longitudinal Data System (KLDS), a centralized data warehouse that allows for a cross-sector understanding of data, metrics, and policy implications. The KLDS currently is capable of linking data from P–12 through the workforce. This panel is intended to illuminate the complexities experienced by KCEWS in regards to ensuring data quality, linking data beyond K–12, and creating effective reports utilizing those linkages.
Complexity: Intermediate Level
VI–G: The Evaluation of the FIRST Robotic Program Using Washington’s Statewide Longitudinal Data System (SLDS)
Vivien Chen, Washington Education Research and Data Center
This presentation will demonstrate how the Washington Education Research and Data Center utilizes a statewide longitudinal data system (SLDS) in response to a data analytical request from the For Inspiration and Recognition of Science and Technology (FIRST) program. The study uses descriptive and propensity score matching approaches to examine the characteristics of FIRST Robotic program participants and their academic progress and completion in K–12 and postsecondary sectors. Findings and issues related to data linking and quality will be discussed.
Complexity: Advanced Level
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VI–H: Where’s My Student Personally Identifiable Information (PII)?
Kim Nesmith and Rebecca Lamury, Louisiana Department of Education
Juan Guerrero, eScholar LLC
In 2014, the Louisiana State Legislature passed a law that severely limited the Louisiana Department of Education’s access to student information. This session will share the story of compliance and the need to assign new unique identifiers and restructure work processes under one of the most protective privacy laws in the country. In addition, the presenters will highlight how the new unique identifier was leveraged to match student data for such program-matching initiatives as Direct Certification, ACT, Medicare, and other national data sets. Future plans for Direct Certification record matching will also be discussed.
Complexity: Entry Level
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| Room | Location | |
|---|---|---|
| A | Palm Court Ballroom | Lobby Level |
| B | State Ballroom | Lobby Level |
| C | East Ballroom | Lobby Level |
| D | Chinese Ballroom | Lobby Level |
| E | Georgia | Second Level |
| F | Virginia | Second Level |
| G | Chinese Ballroom | Second Level |
| H | Pennsylvania | Second Level |
