Concurrent Session IX Presentations


Thursday, July 9, 2015
4:15 pm – 5:15 pm


IX–A: Creating a Culture of Data Quality and Informed Use Through Live and Online Professional Development

Russell Altersitz, New Jersey Department of Education
Jim McGlynn and Robb Geier, Public Consulting Group

    Some states have developed and deliver professional development curriculum as a way to empower users to maximize their statewide longitudinal data system (SLDS). This session will outline the theory of action adopted by the New Jersey Department of Education to drive quality, capacity, and culture at the state and local levels; the curriculum used to build the understanding and skills necessary for users to collect, access, analyze, and use data more effectively; the specific courses and learning objectives of the live and online curriculum; and tangible ideas that participants can take back and apply in their respective states.

    Complexity: Entry Level

Download Zipped PowerPoint Presentation and Handout:

IX–B: Relationships 101: Making It Work With Your Vendor

Brian Nichols and Georgia Hughes-Webb, West Virginia Department of Education
Bill Hurwitch, Maine Department of Education
Patrick Bush, Delaware Department of Education
Lisa Blyler, Arizona Department of Education

    No one wants a complicated relationship. We all want to have productive relationships in which all partners are able to work both together and independently to achieve mutual goals. West Virginia has worked hard with its partner, Versifit Technologies, to launch a public data reporting site and a secure reporting portal for educators’ use in a very short amount of time. Attend this session for practical tips and advice about working with vendors, from planning through initial implementation to finished product.

    Complexity: Entry Level

Download Zipped PowerPoint Presentation:

IX–C: What in the World Are They Talking About? Data Management Jargon 101

Sonya Edwards, Randy Bonnell, and Joanna La Guardia, California Department of Education

    This session is intended for those who are relatively new to the world of data management. Panelists will cover the vast array of data management jargon and provide examples. The goal is to help participants develop their data vocabulary and to support their ability to engage more effectively in data management discussions and avoid confusion.

    Complexity: Entry Level

IX–D: Statewide Longitudinal Data System (SLDS) Data Linking Work Group: Matching Techniques Expert Panel

Kate Akers, Kentucky Center for Education and Workforce Statistics
Peg Votta, Rhode Island Department of Elementary and Secondary Education
Kathy Gosa, AEM Corporation

    The Data Linking Work Group’s (DLWG’s) purpose is to provide a forum for discussion and networking opportunities for collaboration regarding linking data sets. To accomplish this goal, the DLWG is composed of subgroups currently focused on matching engines and merging datasets. This panel discussion will focus on common processes, techniques, and the matching techniques used for state longitudinal data systems (SLDSs). Session participants will hear from key experts who have experience utilizing differing matching methods and products.

    Complexity: Intermediate Level

IX–E: Analyzing Data Across the College-Going Pipeline

Brandi Holten-Bakshi and Jeff Davis, Nassau Board of Cooperative Educational Services (NY)

    This presentation will cover an overview of the college-going pipeline research from 9th- to 10thgrade transition through the second year of college. Specifically, most attention will be focused on tools used to investigate college enrollment and persistence based on Nassau County data brought together from multiple sources. Preliminary results and analyses will be shared.

    Complexity: Intermediate Level

Download Zipped PowerPoint Presentation:

IX–F: The National Indian Education Study (NIES); Student Performance and Opportunity To Learn

Angela Mangiantini, Washington State Office of Superintendent of Public Instruction

    Do Native American students have the same opportunity to learn and perform on national assessments as students across the nation? Using data from the National Indian Education Study (NIES) for grades 4 and 8 since 2005 and socioeconomic status (SES) as the indicator for opportunity to learn (OTL), data will be presented for rural, urban, and Bureau of Indian Education (BIE) schools. Teacher and student responses to their educational experiences will be aligned to assessment performance on the National Assessment of Educational Progress (NAEP), using the NAEP Data Explorer (NDE) and NIES. Participants will be provided guidelines, using the Internet, on accessing both the NIES and the NDE and nuances in making comparisons. This presentation also will provide participants the ability to use the NDE to analyze other ethnicity performance results and questionnaire responses for analysis.

    Complexity: Intermediate Level

Download Zipped PowerPoint Presentation:

IX–G: Who Watches the Watchers: Paranoia or Diligence? The Quandary of Data Privacy!

Larry Fruth, SIF Association/A4L
Alex Jackl, SIF Association
Scott Gallant, GCG MYNE Privacy Solutions
James Wiley, Public Consulting Group

    No one questions the use of data mining in business as a method for making it more effective. Arguably, it is even more essential in K–12 education in our changing educational ecosystem. But how do we protect the privacy and rights of our students and our teachers. This will be a conversation not on how, but on why and for what. We will explore guidelines for a rational, sensible conversation about data privacy, with consideration for reasonable legal constraints, safety concerns, and commitments to building a better educational system for our whole country.

    Complexity: Intermediate Level

IX–H: Dataset Training Modules That Facilitate Appropriate Use of National Center for Education Statistics (NCES) Data

Andrew White, U.S. Department of Education
Jennifer Nielsen, Manhattan Strategy Group

    Distance Learning Dataset Training (DLDT) modules facilitate the use of National Center for Education Statistics (NCES) data. DLDT common modules offer an overview of NCES data systems; methods used to ensure consistent, reliable, complete, and accurate data collection and reporting; complex sampling designs and implications for micro-data users; and ways to access publications, products, data tools, and public- and restricted-use datasets. Survey-specific modules present detailed information about studies conducted by NCES. Currently, nine sets of modules detailing 16 NCES surveys are available. Additional module sets will be added annually. Modules can be accessed for free, in any order, at any time, and at any pace. This session offers participants an opportunity to learn about the content and usefulness of these data modules.

    Complexity: Entry Level

Download Zipped PowerPoint Presentation:

IX–I: Certification Data Exchange Project: Do Industry Credentials Make a Difference?

John Haigh, U.S. Department of Education
Pradeep Kotamraju, Iowa Department of Education
Catherine Imperatore, Association for Career and Technical Education

    Does earning an industry-based certification (IBC) increase the likelihood of being employed? Does an IBC holder receive higher wages? Answers to these questions have not been available owing to a lack of data sharing between third-party providers and education and workforce agencies. The Certification Data Exchange Project is being conducted between a consortium of states and CompTIA, a leader in independent IT assessment and certification, as well as other industry certifiers to link IBC data with state education and workforce data. We will provide an update on this project, showcase early findings, and discuss implications for other states.

    Complexity: Intermediate Level

Download Zipped PowerPoint Presentation:

IX–J: State of the States: Data Privacy After the 2015 Legislative Session

Amelia Vance, National Association of State Boards of Education

    State legislatures and policymakers have taken the lead in forging the new landscape of student data privacy across the country. By April 2015, 170 student privacy bills were introduced in 42 states. Even if federal legislation is passed, states are—and will continue—adding additional privacy protections. This session will examine state K–12 student data privacy policy trends in the states, with in-depth case studies about what is going right and where states have run into problems. The audience will learn what is happening, what might come next, and how they can contribute to the ongoing state policymaking process.

    Complexity: Entry Level

Top