Identifying Effective Teachers Policy
Providing comprehensive reporting may be the state's most important role for ensuring the equitable distribution of teachers among schools. Colorado reports school-level data that can help support the equitable distribution of teacher talent.
State policy requires public reporting of teacher effectiveness data in the aggregate at the school, district and state levels, including the following data: the number of teachers assigned to each rating and how those numbers change over time; information concerning teacher and principal retention; and perception surveys of teachers, parents and students.
Colorado emphasizes the equitable distribution of effective and highly effective teachers, which may be evaluated using the following data: the number of teachers assigned to each performance rating, disaggregated by common course code, educator demographics, student demographics and school demographics.
Colorado currently reports on the
percentage of highly qualified teachers; these data are reported for each school,
rather than aggregated by district. The state compares the percentage of
highly qualified teachers and novice teachers at high- and low-poverty schools at the district level. Colorado does a similar comparison across minority populations. Colorado's school-performance reporting site does contain information about teacher distribution within a district. The "Staff" section of each report allows the public to view a scatter graph of the distribution within the district by percentage of highly qualified or novice teachers, and minority or poverty schools.
Colorado's most recent Equity Plan was submitted to the U.S. Department of Education in June 2015. The state's plan appears to continue to address the components outlined in this goal.
As a result of Colorado’s strong equitable distribution policies, no recommendations are provided.
Colorado was helpful in providing NCTQ with the facts necessary for this analysis. The state added that it is currently in a state of evolution as it is out of the beta phase of collecting these data and moving on to implementation. These data should be ready and available for reporting in the next year. Colorado further noted that it is at the forefront of the work regarding collecting and reporting educator effectiveness data.
Distribution data
should show more than just teachers' years of experience and highly qualified
status.
Transparency is one of the most important tools states have to promote the equitable distribution of teachers within and across higher and lower-need schools and districts. States generally report publicly little more than
what is mandated by federal requirements, which highlights years of experience
and highly-qualified status. However, while teaching experience matters, the benefits of
experience are largely accumulated within the first few years of teaching.
School districts that try to equalize experience among all schools are
overestimating its impact. There is no reason why a school with many teachers
with only three or five years' experience cannot outperform a school with
teachers who have an average of more than 10 years' experience.
For this reason, states need to report data that are more
informative about a school's teachers. As more states require evaluation
systems based primarily on teacher effectiveness , the most
important distribution data that a state can make available is school-level data
about teacher performance. This is not
to say that individual teacher ratings should be reported, but school level
data would shine an important light on whether all students have access to
effective teachers.
In the absence of teacher performance data that reflect evidence of student learning, states can still provide meaningful information by
using an index for quantifying important teacher credentials found to correlate
with student achievement. A good example of a strong index is the academic
capital index developed by the Illinois Education Research Council,
incorporating teachers' average SAT or ACT scores; the percentage of teachers
failing basic skills licensure test at least once; the percentage of teachers
on emergency credentials; average selectivity of teachers' undergraduate
colleges and the percentage of new teachers. These factors are complicated, so
the state should install a system that translates them into something more
easily understood, such as a color-coded matrix indicating a high or low score
for a school.
States need to report
data at the level of the individual school.
Only by achieving greater stability in the staffing of
individual schools can districts achieve the nation's goal of more equitable distribution
of teacher quality. A strong reporting system reflecting effectiveness data and/or the index described
above, as well as data on teacher attrition, teacher absenteeism and teacher
credentials can lend much-needed transparency to those factors that contribute
to staffing instability and inequity.
The lack of such data feeds a misconception that all
high-poverty schools are similarly unable to retain staff because of their
demographics. If collected and disaggregated to the level of the individual
school, however, such data could shift the focus of districts and states toward
the quality of leadership at the school level and away from the notion that
instability and inequity are unavoidable consequences of poverty and race.
Variations in staff stability are considerable among schools with similar numbers of
poor and/or minority children. School culture, largely determined by school
leadership, contributes greatly to teacher morale, which in turn affects
teacher success and student achievement. By revealing these variations among schools
facing the same challenges, school leadership can be held accountable—and
rewarded when successful.
Within-district comparisons are crucial in order to control
for as many elements specific to a district as possible, such as a collective
bargaining agreement (or the district's personnel policies) and the amount of
resources.
Equitable Distribution: Supporting Research
For
comprehensive review of the literature on teacher quality and distribution, see
Jennifer King Rice, "The Impact of Teacher Experience: Examining the Evidence and Policy Implications", Calder Institute, August 2010, Brief 11. For more about how poor and minority
children do not get their fair share of high-quality teachers, read L. Feng and
T. Sass, "Teacher Quality and Teacher Mobility.", Calder Institute, Working Paper 57, January 2011; T. Sass, J. Hannaway, Z. Xu, D. Figlio, and L. Feng, "Value Added of Teachers in High-Poverty Schools and Lower-Poverty Schools," Calder Institute, Working Paper 52, November 2010; and Education Trust,
Teaching Inequality: How Poor and Minority Students are Shortchanged on Teacher Quality (Washington, DC: Education Trust, June 6, 2006).
Education
Trust also produced an analysis of the first set of state Equity Plans that
pointed out the inadequacies of most states' data systems to produce reliable
information about teacher qualifications and experience levels in schools
disaggregated by poverty and racial composition of schools. Although almost all
states were required to resubmit their plans and earned approval for them, many
of the shortcomings of state data systems remained. For example, few states are
equipped to identify by school, teachers' years of experience, meaning they
cannot identify the ratio of new teachers to the full school staff. See
Education Trust, Missing the Mark: States' Teacher Equity Plans Fall Short (Washington, DC: Education Trust, August 10, 2006).
For
an example of a teacher quality index, see B. White, J. Presley, and K. DeAngelis, Leveling
Up: Narrowing the Teacher Academic Capital Gap in Illinois, Illinois
Education Research Council, Policy Research Report: IERC 2008-1, 44 p.; http://www.siue.edu/ierc/publications/pdf/IERC2008-1.pdf.
For
more about teachers' effectiveness in the early years of teaching, see Identifying
Effective Teachers Using Performance on the Job by R. Gordon,
T. Kane, and D. Staiger at: The Hamilton Project, http://www.brookings.edu/views/papers/200604hamilton_1.pdf, April 2006; See also Jennifer King Rice, Teacher Quality: Understanding the Effectiveness of Teacher Attributes (Washington, DC:
Economic Policy Institute, 2003).