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NCES UpdateSummer Forum Meeting 2011
Jack BuckleyNCES
NCES Update
•High School Longitudinal Study 2009 First Look
•Recent NAEP Social Studies Results
•Common Education Data Standards 2.0
HSLS:09 FindingsMath Assessment
What skills do 9th graders demonstrate?• 86 percent proficient with algebraic expressions
• 41 percent proficient with algebraic equivalents
• 18 percent proficient with systems equations
• 9 percent proficient with linear functions
Algebraic expressions
Algebraic equivalents
Systems equations
Linear functions
HSLS:09 FindingsMath Assessment
• Parents’ highest education attainment matters
• Students whose parents have high school diploma or GED:
– 24 percent were in bottom quintile of math test scores; 15 percent were in top quintile
– Of these same students, 83 percent knew basic algebraic concept tested (algebraic expressions) but just 6 percent showed mastery of linear function
• Students whose parents have master’s degree or higher:
– 5 percent were in bottom quintile of math test scores; 44 percent were in top quintile
– 96 percent showed mastery of algebraic expressions; 16% were proficient with linear functions
Students’ race/ethnicity intertwined with test performance…
In lowest two quintiles of math test scores:
HSLS:09 FindingsMath Assessment
Many 9th graders took no math or science in fall 2009
•Overall, 10 percent took no math courses
•Overall, 18 percent took no science course
•Lowest SES 9th graders: 17 percent took no math; 27 percent took no science
•Highest SES 9th graders: 6 percent took no math; 11 percent were not enrolled in science
HSLS:09 FindingsMath Course Taking
• By socioeconomic status (SES):
– Lowest SES: Just 27 percent of 9th graders expected to earn graduate or professional degree
– Highest SES: More than half (56 percent) of 9th graders expected to earn graduate or professional degree
• By sex:
– More females (44 percent) than males (35 percent) expected to earn graduate or professional degree
HSLS:09 FindingsEducational Expectations
Vast majority of 9th graders (91 percent) reported they can either probably or definitely complete college:
•By socioeconomic status (SES):
– Lowest SES: One-third (33 percent) reported they can definitely finish college; 13 percent reported they probably cannot finish college
– Highest SES: Two-thirds (65 percent) reported they can definitely finish college; 2 percent reported that they probably cannot finish college
HSLS:09 FindingsPerceived Ability to Complete College
• More than a quarter of 9th graders (29 percent) did not identify occupation they wanted at age 30
• About one half of 9th graders (49 percent) had thought about an occupation “a lot”
• 61 percent of Black 9th graders had thought about their future job a lot, compared to 48 percent of White 9th graders
HSLS:09 FindingsOccupational Expectations
Jan Apr Jun DecMayFeb Jul OctAug
2009Science 4, 8,12
2009 Science
TUDA
NovSep
2010 Geography
Mar
2009Hispanic-
White Gaps
2010 U.S.
History
2009ScienceHOTS & ICT
2011 Reading
4 & 8
2011 Math4 & 8
2011 MathTUDA4 & 8
2011Reading
TUDA4 & 8
2009 HSTS
2009 State
Mapping
2010 Civics
2005 HSTSMCS
2009 Five Largest
States
2011 NAEPRelease Timeline
LEGEND
NAEP Report Cards
NAEP Studies
Proposed Release
InclusionReport
NAEP Social Science release dates:
• Civics: May 4, 2011
• U.S. History: June 14, 2011
• Geography: July 19, 2011
Changes in students’ performance on NAEP assessments in the social
sciences vary by grade and subject
12
Results for Black students across the three NAEP social science assessments
13
Results for Hispanic students across the three NAEP social science
assessments
14
Results by NSLP eligibility across the three NAEP social science assessments
15
Decline at grade 12No change at grade 8Increase at grade 4
* Significantly different (p < .05) from 2010.
Greatest gains since 1994 for lowest
performing students at grade 4
Highest score ever at grade 8
No change since 2006 at grade 12
17
* Significantly different (p < .05) from 2010.
Highest score ever at grade 4
No change since 2001 at grade 8
Decline at grade 12
18
In all three social studies assessments…
Fourth-grade scores have increased since the first assessment year.
Low-performing students have made notable gains.
Scores for Hispanic students have increased at grades 4 and 8 since the first assessment year.
The achievement gap between Hispanic and White students at grades 4 and 8 has narrowed.
Common Education Data Standards
Educators and policy makers need accurate, timely, and consistent information about students and schools in order to plan effective learning experiences, improve schools, and
reduce costs.
In addition, our student population is highly mobile – across districts and states, and between K-12 and postsecondary –
thus the need to share high quality data requires that we develop a common vocabulary for a core subset of data
elements that exist in multiple data systems.
Why Do We Need Common Data Standards?
A national collaborative effort to develop voluntary, common data standards for a key set of variables.
CEDS elements focus on standard definitions, code sets, and technical specifications of a subset of key data elements. This
will increase data interoperability, portability, and comparability across states, districts, and higher education
organizations.
Voluntary Common Vocabulary
What are the standards?
CEDS Stakeholders Local Education Agencies State Education Agencies Institutions of Higher Education (public and private) State Higher Education Agencies SHEEO and CCSSO Interoperability Standards Org: PESC and SIF USDOE Program Offices: NCES, OPEPD, OET, OUS,
OPE, and FSA Associations: AACC, APLU, AIR, NAICU Foundations: Gates and MSDF Other Federal: DOL (invited)
CEDS is NOT:Required: Adoption of any or all of the CEDS standards is
entirely voluntary.
A data collection: CEDS does not collect data.
A Federal unit record system: CEDS is a model for data standardization to enable sharing between state systems.
Solely a USED undertaking: CEDS is a collaborative effort including SEAs, LEAs, state higher education organizations, institutions of higher education, and national organizations.
Version 1• Released in September, 2010• 161 elements – focused on K-12
– Student record exchange across districts/States– Student transcripts– High school feedback reports from postsecondary to K-12
Version 2, K-12
• Federal Reporting • Education Data Exchange Network (EDEN) (states) • State Fiscal Stabilization Fund (SFSF) Metrics
(states) • Teacher Compensation Survey (states) • Civil Rights Data Collection (CRDC) (districts) • Assessment (districts and states) Support of the
Common Core Curriculum • District-level assessment needs for instruction
Postsec Focus for Version 2• Overall, focus will be more on postsecondary for Version
2.0• Postsecondary different from K12
– Most institutions are private (even though most enrollments are in publics)
– Not all institutions in state systems– Different state governance and systems
• What binds them all together?
Why IPEDS?• Good for state systems
– Applies to all Title IV institutions regardless of whether in a state data system, but state systems could still adopt them and assist with data-sharing across institutions in their system (as well as with IPEDS reporting)
– IPEDS covers topics of most interest: enrollments, transfers, completions (i.e., student mobility)
• Good for institutions– NCES can use CEDS to build new tools to assist with data reporting and help ease
reporting burden– Institutions can share data, when appropriate, using a common language
• Good for project plan– Provides an achievable scope of work for Version 2.0; IPEDS is ultimately a Use Case for
CEDS but also keeps work directed and manageable• Good for aggregated data quality
– NCES is always interested in improving data quality and comparability in its data collections
– IPEDS training can provide more details to data providers and base it on CEDS, ultimately improving data quality
Example• What student-level data elements do you
need in your data system to report the IPEDS graduation rate for Asian women?– Sex– Race– Hispanic or Latino Ethnicity– GRS indicator– GRS cohort year– Exclusions flag (e.g., death)– Academic award level– Academic award date
Additional Possible Use Cases:
• How do these elements link to other existing aggregate reporting – Common Education Dataset (CDS)– Voluntary System of Accountability (VSA)– Voluntary Framework for Accountability
• How could these data possibly be used for information exchanges across institutions/state systems?– Transfer reporting?– Community college feedback report?
Next Steps/Timeline
• July: First draft of elements, definitions and codesets were released for public comment
• August/September: Comments reviewed and revisions made
• October: Second draft released for public comment
• November/December: Comments reviewed and revisions made
• January: Version 2 released
Where to find CEDS: http://nces.ed.gov/programs/ceds/