Concurrent Session VI Presentations
Thursday, July 28, 2011
11:00 am – 12:00 pm
VI–A: Leveraging the Idaho System for Educational Excellence to Provide for a Statewide Instructional Improvement System
Troy Wheeler, Idaho State Department of Education
Andrew Cary and Woodrow Carter, Schoolnet, Inc.
The Idaho State Department of Education’s (ISDE) vision is to provide “actionable data and resources to the classroom
teacher, statewide.” Along with so many other states, ISDE applied for Race to the Top, Institute of Education Sciences’
Statewide Longitudinal Data Systems and additional funding but was unsuccessful in receiving these awards to date.
Nonetheless, under the direction of State Superintendent Tom Luna and a strong leadership team, ISDE pressed forward
and is considered a national leader by implementing a state longitudinal data system to deploy an instructional improvement
system statewide. Idaho has a student enrollment of approximately 276,000 students, distributed across more than 150
school districts and charters, ranging from single building to large city districts. This presentation will highlight
the people, policies, processes, and programs that have brought this system to the classroom teachers of Idaho.
VI–B: From Chaos to Control: The Data Governance Maturation Process at the Pennsylvania Department of Education
Shara Bunis, David Ream, and Deb Rodrigues, Pennsylvania Department of Education
Even if you have already implemented your statewide longitudinal data system (SLDS), it’s not too late to implement
or improve your data governance practices. The Pennsylvania Department of Education (PDE) has been collecting data through
its SLDS for four years; however, it is only in the past year that PDE has focused on improving its policies and procedures
governing SLDS and other critical enterprise data. Come hear how PDE is formalizing data governance to help ensure that
high quality data are available for PDE and local education agency staff in a timely and secure manner.
Download PDF Presentation:
VI–C: 101: Public Domain Clearinghouse
Emily Anthony, National Center for Education Statistics
Jeff Sellers, NCES State Support Team
Open source sharing for education agencies has arrived! NCES’s Public Domain Clearinghouse (PDC) provides a platform
for states (and eventually districts) to share, learn about, and adopt non-proprietary solutions to common data
system-related challenges (portals, growth models, professional development programs, etc.). By leveraging and building
upon proven products from the field, PDC users can conserve scarce resources necessary to build solutions from scratch.
The site hosts the products and allows users to post comments and modified versions of others’ solutions. This session
will include a tour of the PDC, which is currently available via the Statewide Longitudinal Data Systems (SLDS)
Program’s GRADS360.
Download Zipped PowerPoint Presentation:
VI–D: Assessment Resource Tool (ART)—Impacting Wyoming Education
Meredith Bickell and Cassie Lallak, Wyoming Department of Education
Manos Stefanakos, Choice Solutions, Inc.
The Assessment Resource Tool (ART) provides educators and building administrators with a single solution for their
assessment reporting needs that is fully integrated with the Wyoming Education Fusion portal. It provides a tool educators
and instructional leaders can rely on to provide applicable information based on student assessment performance in an easy
to access, easy to use, and understandable manner. What is ART?
- Advanced analysis and visualization tools for educational data
- District, school, and class specific comparisons
- Easy year-over-year comparisons
- Secure longitudinal and reporting data storage
- Optimal storage and reporting capabilities
VI–E: Data Mapping: Step One in Common Education Data Standards (CEDS) Adoption
Marci Giang, Council of Chief State School Officers
Tim Cameron, Postsecondary Electronic Standards Council
Greg Nadeau, Public Consulting Group
Vince Paredes, SIF Association
The Common Education Data Standards (CEDS) Initiative has created the Adoption and Implementation Task
Force (AITF) to guide the CEDS Consortium’s efforts to promote the adoption and implementation of CEDS. This
session will begin with an overview of the AITF and the levels of adoption. The Council of Chief State School
Officers’ State Core Model team will hold a workshop for participants walking through the step-by-step
process used to map state and district systems to CEDS and the State Core Model through the Data Mapping
Workbook. Data mapping is the first step towards adoption of the Common Education Data Standards. In addition,
the presentation will include a synthesis of state maps that have been completed, identifying common trends
and gaps.
Download PDF Presentation:
VI–G: Using Statewide Longitudinal Data Systems (SLDS) Data to Gain Insight on Individual Education Outcomes
Domenico Parisi, National Strategic Planning & Analysis Research Center, Mississippi State University
Shawn Bay, eScholar LLC
State longitudinal data systems (SLDS) are constructed to help drive policy aimed at improving education outcomes
for PK–20. The National Strategic Planning & Analysis Research Center (nSPARC) at Mississippi State, in partnership
with eScholar, will present strategies on how to use SLDS data for the purpose of conducting research. Dr. Mimmo
Parisi is a professor and the executive director of nSPARC, and his center has gained a national reputation for
the development, implementation, and use of SLDS data. Dr. Parisi will outline what he has learned over the last
ten years in regard to using data to improve individual education outcomes.
VI–I: Early Childhood Data Mart Built Into Maryland Statewide Longitudinal Data System (SLDS)
Robert London and Janice Johnson, Maryland State Deptartment of Education
This presentation will: 1) describe the proof-of-concept process used to incorporate early childhood
data from disparate systems into the Maryland PK–12 Statewide Longitudinal Data System (SLDS), and 2)
describe the resulting production early childhood data mart including the data structures; extraction,
transformation, and load (ETLs); and business intelligence data reports.
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