Not exact matches
If teachers find it easier to teach a homogeneous group of students, tracking could enhance school
effectiveness and raise test
scores of both
low - and high - ability students.
Race to the Top (RTTT) grants had been awarded after considering whether states would adopt high academic standards, implement prescribed strategies in
low ‐ performing schools, and use student test
scores to determine the
effectiveness of teachers.
The reading
scores of 17 - year - olds on the National Assessment of Educational Progress constitute the single most accurate indicator of the
effectiveness of our schooling, and as we look at the
low reading
scores of 17 - year - olds over the past few decades of reform, we see no real movement.
To be eligible, states had to agree to adopt new common standards and tests (the Common Core State Standards); expand the number of charter schools; evaluate the
effectiveness of teachers in significant part by the test
scores of their students (and remove any statutory barriers to doing so); and agree to «turn around» their
lowest - performing schools by taking such dramatic steps as firing staff and closing the schools.
The concern with confounding is that student characteristics will conflate measures of teacher
effectiveness in predictable ways: teachers in high - poverty schools might consistently receive
scores that are too
low, teachers of English language - learners might consistently receive
scores that are too high, and so on.
The Final 16 beat out 25 other states and earned the highest
scores from the peer reviewers, who awarded points based on a 500 - point grading scale that judged states» commitments to improve teacher
effectiveness, data systems, academic standards, and
low - performing schools.
To date, we have relied on the
lowest common denominator when it comes to looking at school
effectiveness — standardized, machine -
scored tests.
Through site visits at nearly all of those schools and analysis of longitudinal student data, the study aimed to assess whether schools with
low API status and growth
scores were truly underperforming (as best as possible given the limitations of the data), to get schools» perspective of their own performance, and to assess the
effectiveness of the Similar Students Measure (SSM) in identifying underperforming schools.
Kane's research was, of course, used to support the claim that bad teachers are causing the disparities that he cited, regardless of the fact the inverse could be also, equally, or even more true — that the value - added measures used to measure teacher
effectiveness in these schools are biased by the very nature of the students in these schools that are contributing their
low test
scores to such estimates.
But perhaps this problem has never been stated as starkly as in a recent paper examining the distribution of teacher quality in Washington state: «We demonstrate that in elementary, middle school, and high school classrooms (both math and reading), every measure of teacher quality — experience, licensure exam
score, and value - added estimates of
effectiveness — is inequitably distributed across every indicator of student disadvantage — free / reduced lunch status, underrepresented minority, and
low prior academic performance.»
22 Fair, Isaac & Co., The
Effectiveness of
Scoring on
Low - to - Moderate Income and High - Minority Area Populations 22, Fig. 9 (Aug. 1997).
Specifically, our aggregate data show that three - fourths of those receiving the
lowest leadership
effectiveness scores who made an effort to improve, rose on average 33 percentile points in their rankings after a year.
In this study,
effectiveness in the ICER formula was defined as the proportion of participants who showed clinically significant improvement.31 The criteria for clinically significant improvement were that participants had to be improved by at least 18 points on HAI and have an end point
score of 66 or
lower.