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Concurrent Session III Presentations

Wednesday, February 13, 2013
1:45 - 2:45


III–A: Teacher-Student Linkages: A Follow-Up on the New York State Data Model Approach for Teacher/Leader Evaluation and Instructional Improvement

Patrick Roche and Charlene Swanson, New York State Education Department
Russ Redgate, eScholar LLC

At the NCES Summer Data Conference in July 2011, the New York State Education Department (NYSED) and eScholar presented the data model to be implemented for Teacher/Leader Evaluation and Instructional Improvement. In this session, the presenters will discuss lessons learned and how NYSED's thinking has evolved subsequent to July 2011, including policy and technical considerations. Policy considerations include the complexities of relationships among students, their teachers, and courses. Approaches to incorporating data about courses, assessments, and academic standards were also involved. The audience will have an opportunity to share experiences in these areas.

Download PowerPoint Presentation:

Teacher-Student Linkages: A Follow-Up on the New York State Data Model Approach for Teacher/Leader Evaluation and Instructional Improvement Microsoft PPT File (92 KB)


III–B: Federated and Centralized Models

Jeff Sellers, SLDS State Support Team
Neal Gibson, Arkansas Research Center
Domenico Parisi, National Strategic Planning and Analysis Research Center (nSPARC) at Mississippi State University
Aaron Schroeder, Virginia Tech University Charles McGrew, Kentucky P-20 Data Collaborative

In this session, panelists from Arkansas, Mississippi, Virginia, and Kentucky will discuss their states' use of a federated or centralized model of system architecture. Panelists will present their rationale for choosing the model they did, the roles and responsibilities of participating agencies, the matching process employed, data access and response time, and rules for data integrity.

Download PowerPoint Presentation:

Federated and Centralized Models Microsoft PPT File (2.41 MB)


III–C: Virginia Longitudinal Data System–Stakeholder Outreach, Marketing, and Communications

Matthew Bryant, Virginia Department of Education
Henry Paik, Center for Innovative Technology
Steve Cummings, The Hodges Partnership

Developing an effective communications and marketing strategy is a critical part of the Virginia Longitudinal Data System (VLDS), helping ensure understanding of the system, ongoing support, and effective use. It is particularly vital in bringing on new datasets and informing new stakeholders of the purpose and function of the system. This presentation will cover the VLDS communication and marketing strategy, planning, and results.

Download PowerPoint Presentation:

Virginia Longitudinal Data System–Stakeholder Outreach, Marketing, and Communications
Microsoft PPT File (2.30 MB)


III–D: The Next Era of Data Use in Arkansas

Cody Decker and Holly Glover, Arkansas Department of Education

The Arkansas Department of Education (ADE) has a long history of leading-edge data analysis and reporting, including robust data systems and visualization tools. In this session, you will learn how ADE is expanding its tools and the data horizon for all educators by leveraging existing materials from the Ed-Fi Alliance and other states. Specifics on stakeholder engagement, road maps, and pilot plans will be shared, along with useful resources ADE collected along the way.


III–E: Southeast Education Data Exchange (SEED) Overview and Demonstration

Debra Holdren and Bob Swiggum, Georgia Department of Education

States from the Southeast are collaborating to create the SE Education Data Exchange (SEED) to share K–12 student data for students who move across state lines. SEED helps states ensure continuity of services for mobile students and at the same time improve accuracy of graduation/ drop-out rates. During this session, you will see this tool in action.

Download PowerPoint Presentation:

Southeast Education Data Exchange (SEED) Overview and Demonstration Microsoft PPT File (5.26 MB)


III–F: Planning for "eNAEP" Assessments–Potential Implications for Management Information System (MIS) Directors and Schools

Bobbi Woods, National Center for Education Statistics
Scott Ferguson and Jud Cole, Fulcrum IT Services LLC
Rich Struense, CITA-ATT

National Assessment of Educational Progress (NAEP) panelists will present in this session plans for the transition to web-based assessments using school equipment and discuss how NAEP can help states with their own transition to technology-delivered assessments. The panelists will discuss outreach to NAEP states, districts, and schools; strategies for validating the readiness of school equipment; technical considerations and challenges; modifications of pre-assessment visits; and the administration of NAEP assessments. Participants will be asked to provide feedback that will be used to refine NAEP's approach in conducting web-based assessments.


III–G: A Business Intelligence Approach to Data Collection and Use

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

Applying the Business Intelligence approach, which combines data, technology, and statistical analysis, the Blue Valley School District developed a data system for its gifted program, which enables teachers to make better-informed decisions about the gifted eligibility of student candidates while saving significant time. The system is innovative in four aspects: 1) it is intelligent; 2) its development involved collaboration among three departments (education services, information technology, and research and evaluation), which is rare in K–12; 3) it is low-cost; and 4) it is more likely to be adopted.


III–H: Kansas' Efforts in Developing the New System for Education Enterprise in Kansas (SEEK) Reporting Tool

John Baranski, Kansas State Department of Education

The System for Education Enterprise in Kansas (SEEK) is one of the tools used by the Kansas State Department of Education to present longitudinal data to education stakeholders. SEEK has recently been rebuilt based on feedback from education data users and technical stakeholders. This presentation will analyze lessons learned from the previous versions of SEEK and demonstrate new enhancements to the application, including the High School Feedback and Data Audit reports.


III–I: Transitioning From PEPTrak to myTrak

Natasha Scott and Lisa Craver, Cumberland County Schools (North Carolina)
Shawn Bay, eScholar LLC

Cumberland County Schools is a large district in North Carolina that serves more than 53,000 students. Beginning in 2010, Cumberland County partnered with eScholar to develop a new application to empower the educational team, including educators, parents, and students, to create personalized education plans and set academic intervention and behavioral goals. Since that time, the software has been fully developed and implemented across the district. Harnessing the power of comprehensive longitudinal data from the district's data warehouse has enabled the district to measure the effectiveness of the process and to continue to improve student learning. This presentation will provide an overview of the process, key features of the application, lessons learned along the way, and future outlook.


III–J: Developing and Deploying an Early Warning System With R and State Longitudinal Data System (SLDS) Data

Jared Knowles, Wisconsin Department of Public Instruction

This session will explore Wisconsin's work using data from the state longitudinal data system to develop early warning models of dropout and late graduation for students currently in middle school. Early work has shown that the system is able to accurately identify more than 60 percent of such students in the state by the end of seventh grade. This system is built entirely using opensource analytics tools and data common to all states. This session will address the current status of this work, challenges in building the system, plans for communicating the results to school districts statewide, and future improvements and extensions of the system.

Download PowerPoint Presentation:

Developing and Deploying an Early Warning System With R and State Longitudinal Data System (SLDS) Data Microsoft PPT File (1.07 MB)

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