Not exact matches
In response to the criticism that teacher impacts on student
test scores are inconsistent over time, the authors show that «although VA measures fluctuate across years, they are sufficiently stable» that selecting teachers even based on a
few years of
data would have substantial impacts on student outcomes, such as earnings.
Compiled
data from all 3,001 children and their families showed that Early Head Start children
scored higher, on average, than their peers on standardized
tests of cognitive and language development; and far
fewer children
tested as requiring remediation.
At the individual school level, with a
few exceptions such as the large HCZ, there are less
data on school
test score effects and attainment effects.
The results are quite surprising: after adjusting the
data for the effects of only a
few observable characteristics, the black - white
test -
score gap in math and reading for students entering kindergarten essentially disappeared.
Once we adjusted the
data for the effects of socioeconomic status, birth weight, participation in WIC, and a
few other variables, we were able to fully account for the difference in
test scores.
after adjusting the
data for the effects of only a
few observable characteristics, the black - white
test -
score gap in math and reading for students entering kindergarten essentially disappeared.
In a
few districts, district and school leaders reported that analysis of trend
data by district and / or state assessment specialists had led to the identification of early indicators of students academically at risk, based on
test scores or other factors (e.g., family circumstances), in lower grade levels.
The academy is a K - 8 school where
fewer than half the students
scored proficient or above on standardized math and reading
tests in 2014 - 2015, the most recent year for which state
data are available.
Today's enthusiastic embrace of
data has waltzed us directly from a petulant resistance to performance measures to a reflexive and unsophisticated reliance on a
few simple metrics — namely graduation rates, expenditures, and the reading and math
test scores of students in grades 3 through 8.
And considering the low - quality of subjective classroom observations that are the norm for traditional teacher evaluation systems, the state laws and collective bargaining agreements governing teacher performance management discourage school leaders from providing more - ample feedback, and that the use of objective student
test score growth
data is just coming into play,
few teachers have gotten the kind of feedback needed to build such expertise in the first place.
California's top education official sought Tuesday to counter federal criticism of the state's reluctance to use student
test scores to evaluate teachers, paying a visit to Long Beach to highlight one of the
few California school districts to make extensive use of such
data.
And they aren't talking about a
few test scores here — but a big ol' heap of
data on every student.
Getting this myth «believed» meant new opportunities to turn tax dollars into profits — profits from, for example, paying a
few teachers more and many teachers less; profits from designing standardized
tests; profits from renting school facilities; profits from managing schools; profits from
data management systems and
test -
scoring systems; and profits from selling software platforms and computing devices.
We shifted towards standardized forms of inquiry, looking at student achievement
data for the handful of Mam - speaking students who had been at Bridges for more than a
few years; looking at achievement
data for the 15 Mam - speaking kindergartners; looking at the entry level of Spanish proficiency (as measured by the IPT Language Proficiency
Test) for native Spanish speaking students in our bilingual program and comparing the IPT
scores of Mam - speaking children.
In places like Florida and Washington, D.C., value - added models have accounted for such factors, in part because of the limitations of using
fewer years of
test -
score data.