Concurrent Session IV Presentations

Wednesday, July 13, 2016
9:00 am – 10:00 am

IV–A: Forum Guide to Data Disaggregation of Racial/Ethnic Subgroups

Peter Tamayo, Washington State Office of Superintendent of Public Instruction

The goal of the National Forum on Education Statistics’ new resource, the Forum Guide to Data Disaggregation of Racial/Ethnic Subgroups, is to help state and district personnel learn more about data disaggregation; decide whether racial/ethnic data disaggregation might be right for them; and, if so, how to plan for and implement racial/ethnic data disaggregation. This presentation will review the document, which includes real-world examples from districts and states that have disaggregated data for various racial/ethnic subgroups to improve education outcomes. The review will also consider the benefits and challenges involved in data disaggregation as well as recommended practices for disaggregating racial/ethnic data in districts and states.

Complexity: Entry Level

Download Zipped PowerPoint Presentation:

Forum Guide to Data Disaggregation of Racial/Ethnic Subgroups (2.3 MB)

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IV–B: Data Visualization and Mapping as a Vehicle for Storytelling

Melanie Baca, Michael Hegarty, Pam Santesteban, and Melissa McGehee, Arizona State University
Patty Tate, Osborn School District (AZ)

One paramount challenge for researchers is to make data comprehensible and engaging to various audiences. Arizona State University’s (ASU’s) Mary Lou Fulton Teachers College utilized the innovative online application of Esri Story Maps to create an interactive vehicle to communicate information about its educational reform project. The maps were instrumental in sharing the reform’s results from five years of implementation in 58 Arizona schools, through data mapping and visualization, text, images, and videos from grant participants. In this session, ASU staff will give a demonstration of the AZRfR Story Map, share their experiences, present visitor data analytics, and engage the audience in discussing the role interactive technology plays in data presentation. To learn more about the AZRfR Project, visit links.asu.edu/azrfrstorymap.

Complexity: Entry Level

Download Zipped PowerPoint Presentation:

Data Visualization and Mapping as a Vehicle for Storytelling, Part I (9.43 MB)
Data Visualization and Mapping as a Vehicle for Storytelling, Part II (7.07 MB)

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IV–C: Implementing an Early Warning System (EWS) at a District: Experiences From the Mid-Atlantic Region

Heather Piperato, East Stroudsburg Area School District (PA)
Donna Hall, Woodbridge School District (DE)
Nancy Smith, Regional Educational Laboratory (REL) Mid-Atlantic at ICF International/DataSmith Solutions LLC
Kasia Razynska, Regional Educational Laboratory (REL) Mid-Atlantic at ICF International

Regional Educational Laboratory (REL) Mid-Atlantic will facilitate a panel focused on district implementation of Early Warning Systems (EWSs). The Pennsylvania and Delaware Departments of Education provide schools and districts with EWSs, and Pennsylvania’s system also provides districts with the ability to document an intervention catalog. During this session, district representatives from both states will discuss what information their state’s EWSs provide and how teachers and administrators use it, how schools and districts customize the information and describe challenges they faced in implementing the system. Audience interaction through questions and discussion will be encouraged. REL Mid-Atlantic is funded by the Institute of Education Sciences.

Complexity: Entry Level

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IV–D: Using Integrated Data to Support the Transitions in Special Education

Meredith Miceli, U.S. Department of Education
Colleen Murphy, Missy Coffey Cochenour, and Sherry Franklin, AEM Corporation

Programs and families encounter challenges when children transition from Individuals with Disabilities Education Act’s (IDEA) Part C—the program for children from birth to age three, which is usually not located in an education agency—to Part B 619, the program for three- to five-years-olds for which the U.S. Department of Education is the lead agency. Linked data can support providers in creating effective transitions and help state agencies see how well transition is working. States are utilizing the Early Childhood Integrated Data System (ECIDS) and statewide longitudinal data system (SLDS) to coordinate the sharing of transition data. This session will highlight current state approaches and describe how technical assistance is helping states link C and B data.

Complexity: Intermediate Level

Download Zipped PowerPoint Presentation:

Using Integrated Data to Support the Transitions in Special Education (1.54 MB)

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IV–E: Building Successful Linkages to Evaluate K–12 Outcomes

Jay Pennington, Iowa Department of Education

Iowa has created a partnership across the K–12, community college, public postsecondary, and workforce sectors. These linkages have resulted in a number of outputs that allow for analysis and evaluation of K–12 outcomes. This session will provide an overview of this partnership and delve into details about linkages, governance, and master data management as well as information about reporting and findings that can be used in improvement efforts.

Complexity: Entry Level

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IV–F: Student Data Privacy Consortium—A Common Contract Framework

Steve Smith, Cambridge Public Schools (MA)
Laura Hansen, Metropolitan Nashville Public Schools (TN)

The Student Data Privacy Consortium (SDPC) is a national collaborative with representatives from a diverse set of learning organizations, governmental agencies, vendors, and providers focused on operationalizing the complex and high-profile privacy issues surrounding safeguarding student data. This work will leverage other work going on by the cadre of organizations working in the student data privacy space but is focused on tactical and implementation support. The first project identified by this group is to expand the very successful work of the Massachusetts Student Privacy Alliance’s (MSPA’s) development of a “standardized contract framework” among schools, states, and vendors. This broad development-and-adoption collaborative will establish common expectations between vendors and schools when entering into an agreement without having to renegotiate terms in every new instance. This session will explain the work of the project, its goals, and next steps.

Complexity: Entry Level

Download Zipped PowerPoint Presentation:

Student Data Privacy Consortium—A Common Contract Framework (1.62 MB)

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IV–G: Virtually Impossible? Managing Data and Accountability for Virtual Schools

Allison Young, Susan Williams, and Carol Wells Bazzichi, Virginia Department of Education

As technology advances and students have more opportunities to access public education via various media, it becomes increasingly more difficult to collect and manage data that will be used to maintain accountability. In Virginia, the creation of virtual public schools has presented hurdles to managing finance, master schedule, and accountability data for school divisions that contract with private providers for virtual programs and for school divisions that serve students virtually outside of their geographical boundaries. This presentation will address the obstacles and solutions to collecting, managing, and reporting virtual public school data to ensure both fiscal and academic accountability.

Complexity: Entry Level

Download Zipped PowerPoint Presentation:

Virtually Impossible? Managing Data and Accountability for Virtual Schools (820 KB)

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IV–H: How Big Data Can Improve Educational and Well-Being Outcomes for Children in Silicon Valley

Marcy Lauck, Silicon Valley Regional Data Trust (CA)
Mary Ann Dewan, Santa Clara County Office of Education (CA)

The current siloed state of education and health and human services data systems, coupled with unresolved privacy and trust issues, results in both incomplete and fragmentary analyses of complex problems and disjointed service delivery facing all children, but especially children of poverty. This interactive workshop will explore the challenges faced by children who are involved in one or more agencies and will discuss how the Silicon Valley Regional Data Trust is aligning data systems to strengthen the foundations of good health, educational achievement, and overall well-being for all children of all ages.

Complexity: Entry Level

Download Zipped PowerPoint Presentation:

How Big Data Can Improve Educational and Well-Being Outcomes for Children in Silicon Valley (5.2 MB)

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