Education Research Agency Looks to Leverage Big Data, Reduce Costs
The
Institute of Education Sciences wants more concrete details from researchers
about how their work will affect student outcomes, provide cost-effective
interventions, and leverage the massive amounts of data schools collect.
IES' research priorities, to be published in
Thursday's Federal Register, have been a long time coming. (IES got a letter from Congress last week asking what was taking so Long.) The public will have 60 days to comment on them before they are
officially adopted.
In
broad strokes, the new priorities don't differ much from those the agency has had on the books since 2010. The agency has
prioritized school readiness and development for children before school
age; math, reading, writing, and sciences as well as social-emotional skills in
kindergarten through post secondary grades; and attainment in college,
vocational studies and the workforce.
None
of those have been dropped, but the proposed new priorities separate K-12 and
post secondary goals and concentrate on much more concrete measures of
improvement in each grade span. For example, it says K-12 studies should
include key measures such as:
·
Academic achievement in
reading, writing, math, science, engineering, and technology;
· Non-test-based academic
indicators, such as student attendance, academic growth, high school graduation
rates, and college attendance and persistence;
· Non-academic measures,
such as student mental health, school climate, civic engagement, and behavior
or social skills; and
· Measures of successful
transitions to post secondary education, work, and independent living,
particularly for students with disabilities.
IES
also plans to expand the scope of its post secondary research, with a focus on
measures of college enrollment and degree completion, as well as adult skills
and rates of graduates earning "family-sustaining wages."
More Transparency
IES,
like other federal research agencies, also continues to press researchers to
make their studies more transparent and easier for policymakers to
understand.
Requests
for grant proposals will require researchers to preregister their studies and
make their data and methods open to prevent cherry-picking findings. The agency
will prioritize intervention studies that document their implementation and
identify the essential pieces of their programs, as well as analyze their costs
versus benefits and have clear plans for disseminating results and scaling up
successful programs.
Those
last two are likely to be sticky for researchers, as many disagree on the best
way to judge the costs and benefits of interventions—particularly those where
the most important benefits might take years to realize. In the proposal, IES
Director Mark Schneider also said the agency would work to expand studies that
use longitudinal data and develop new research methods to analyze large
administrative data sets.
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