Skip Navigation

Concurrent Session VII Presentations

Thursday, February 14, 2013

VII–A Innovative Data Collection Techniques for Public School Boundary Information

Tai Phan, National Center for Education Statistics
Andrea Conver, Sanametrix
Adrienne Allegretti, Blue Raster, LLC

As part of a project to obtain public school boundaries, NCES began work on a tool that allows school districts to electronically draw or upload school boundaries through a new online application. Once all boundaries have been drawn, the data is stored and provided to NCES for further geoprocessing and analysis. This session will explain how the tool will allow users to export data for state and/or district use in a variety of formats and will also support the upcoming 2013-2014 national school boundary collection for the Public School Boundary Geodatabase (PSBG). Once processed, the data will be distributed on the SDDS Map Viewer (

Download PowerPoint Presentation:

Innovative Data Collection Techniques for Public School Boundary Information Microsoft PPT File (2.89 MB)

VII–B SLDS Session: Establishing, Documenting, and Institutionalizing K–12 Data Governance Policies and Processes

Corey Chatis, SLDS State Support Team
Christina Tydeman, Hawaii State Department of Education
Bill Huennekens, Washington State Office of Superintendent of Public Instruction
Kathy Gosa, Kansas State Department of Education

This panel discussion will address the critical components of P–20 data governance, including lessons learned and success stories from Washington, Kansas, and Hawaii. Hawaii will discuss the governance structure and data resolution process. Washington will discuss roles and decisionmaking authority and its data management committee. Kansas will walk through the governance escalation process and the data steward board. This discussion will be followed by small-group breakouts to discuss participants’ specific questions/challenges.

VII–C Apps4VA: Enlisting the Public in Apps Creation for Data Analysis

Bethann Canada, Virginia Department of Education
Paul McGowan, Center for Innovative Technology

This session will describe how the Virginia Department of Education and the Center for Innovative Technology co-launched a unique program known as Apps4VA. This program is the first of its kind to sponsor multiple cutting-edge components that enlist the public’s ingenuity in creating innovative software applications (apps) using K–12 education data. The four components include two public apps development competitions (an open competition for the general public and a competition for Virginia public high school students); a Startup Weekend; and a high-energy, 24- hour "hackathon" event that linked four simultaneous "hackathons" throughout the state—all to benefit education. More information can be found at

Download PowerPoint Presentation:

Apps4VA: Enlisting the Public in Apps Creation for Data Analysis Microsoft PPT File (2.39 MB)

VII–D A Data-Driven Approach to . . . Training, Deployment, and Communication

Brian Rawson, Texas Education Agency
Melanie Meador, Deloitte Consulting LLP

In 2013, the Texas Education Agency (TEA) will begin the statewide deployment of the Texas Student Data System (TSDS) to more than 1,200 independent school districts that serve nearly five million students. As part of its extensive preparation and planning, TEA conducted surveys to assess the awareness, readiness, and capabilities of the districts and regional service centers to adopt TSDS. In addition to allowing TEA to be very focused with its initial outreach activities, the results of the surveys helped shape TEA’s communications across the state and its planning for communications and deployment. This presentation will look at the survey objectives, how the results informed strategy and planning, and how a data-driven approach optimizes the use of resources while supporting high levels of adoption.

VII–E Incorporating Head Start Data Into Your Statewide Longitudinal Data System (SLDS)

Missy Cochenour, SLDS State Support Team
Colleen Murphy, Utah Early Childhood Comprehensive Systems Initiative
Denise Mauzy, Opportunities in a Professional Education Network (OPEN) Initiative at the University of Missouri

This session will be facilitated by Statewide Longitudinal Data System (SLDS) State Support Team member Missy Cochenour. State panelists will share best practices and lessons learned from their states’ work to incorporate Head Start data into their SLDSs. Additionally, panelists will discuss possible elements to begin the exchange and how they can be used to further conversations in a state and build buy-in and support, effective models for engagement, and needed processes and policies.

Download PowerPoint Presentation:

Incorporating Head Start Data Into Your Statewide Longitudinal Data System (SLDS) Microsoft PPT File (960 KB)

VII–F Anatomy of Data Linking in the P–20 World

Laurel Ballard, Wyoming Department of Enterprise Technology Services
Alex Jackl, Choice Solutions, Inc.

Linking records through time and horizontally across agencies and institutions is not a trivial problem. The effort involves attending to such issues as periodicity, source ownership, data grain, PII-issues, data privacy laws (both local and federal), and the fact that there are more fiefdoms and political boundaries than can be imagined, as well as having to deal with vendors vying for position and placement. What is a state to do? This session will walk through the issues Wyoming struggled with as it tackled this problem and explore how it dealt with the legislature, its higher education partners and cross-agency politics. Bring your questions and thoughts as we have an open dialogue about these issues starting with how the state of Wyoming began its struggle and how we resolved these data-linkage issues.

VII–G Privacy Technical Assistance Center (PTAC) Toolkit: New Design! New Materials!

Baron Rodriguez and Halima Odom, AEM Corporation

Privacy Technical Assistance Center (PTAC) has a variety of new publications, training videos, and reference materials. Join us as we navigate PTAC’s new website and latest publications. PTAC will also provide a preview of upcoming publications, trainings, and events for 2013.

VII–H Data Linking for Analytics—K–12 to Community College to University

John Watson, Institute for Evidence-Based Change
Todd Ikenaga and Jean Osumi, University of Hawaii

With a focus on data use and an emphasis on cross-segment data tracking, we will present in this session the techniques and outcomes of projects from multiple states that link education data with labor data. Also included will be a discussion of the various analytics reports and output prepared, including dynamic web-based reporting, various dashboards, and OLAP cubes and cube browsers.

Download PowerPoint Presentation:

Data Linking for Analytics—K–12 to Community College to University Microsoft PPT File (2.25 MB)

VII–I Context Matters in Diné Education: Factors Contributing to the Academic Achievement of Navajo Students

Kalvin White, Navajo Nation Department of Diné Education

This presentation will address contextual factors that impact the academic achievement of Navajo students attending schools on the Navajo Nation. The Navajo Nation has implemented a multilevel data analysis method to identify the nontraditional factors impacting student academic achievement. Results of this study are based upon the data collection completed for 800 Navajo students.

VII–J Use Open-Source Software to Collect and Manage Data Easily and Cheaply

Bo Yan and Mike Slagle, Blue Valley School District (Kansas)

Many districts have adopted a large data system, such as PowerSchool, to collect and manage generic data, such as demographics and enrollment; however, such systems lack the flexibility to collect and manage particular data, which is often needed for specific programs. In this session, the presenters will demonstrate how Moodle and LimeSurvey, two pieces of open-source software, have been employed to build online interfaces where data can be easily collected and managed. This presentation will be particularly useful for districts that are trying to find a cheap and easy way to collect and manage data that cannot be easily dealt with by their large, generic data system.