The state should publicly report districts' distribution of teacher talent among schools to identify inequities in schools serving disadvantaged children.
Providing comprehensive reporting may be the state's most important role for ensuring the equitable distribution of teachers among schools. North Dakota does not report school-level data that can help support the equitable distribution of teacher talent.
North Dakota does not require districts to publicly report aggregate school-level data about teacher performance, nor does the state collect and publicly report most of the other data recommended by NCTQ. North Dakota does not provide a school-level teacher-quality index that demonstrates the academic backgrounds of a school's teachers and the ratio of new to veteran teachers. The state also does not report on teacher absenteeism or turnover rates.
North Dakota provides 2011-2012 state-level data on the percentage of highly qualified teachers, depending upon poverty levels and years of teacher experience. North Dakota's Equity Plan, published in 2006, reports on the percentage of highly qualified teachers at the school level. However, these data have not been updated.
Report school-level teacher effectiveness data. North Dakota should make aggregate school-level data about teacher performance—from an evaluation system based on instructional effectiveness—publicly available. Data about the effectiveness of a school's teachers would shine a light on how equitably teachers are distributed across and within school districts.
In the absence of data from such an evaluation system, the state should use a teacher-quality index to report publicly about each school. A teacher-quality index, such as the one developed by the Illinois Education Research Council with data including teachers' average SAT or ACT scores, the percentage of teachers failing basic skills licensure tests at least once, the selectivity of teachers' undergraduate colleges and the percentage of new teachers, can show how equitably teachers are distributed both across and within districts. North Dakota should ensure that individual school report cards include such data in a manner that translates these factors into something easily understood by the public, such as a color-coded matrix indicating a school's high or low score. Publish other data that facilitate comparisons across schools. North Dakota should collect and report other school-level data that reflect the stability of a school's faculty, including the rates of teacher absenteeism and turnover.
Provide comparative data based on school demographics. Providing comparative data for schools with similar poverty and minority populations would yield an even more comprehensive picture of gaps in the equitable distribution of teachers.
Report data at the school level. North Dakota should ensure that it is reporting all currently collected data at the school level, rather than aggregated by district.
Ensure that data are current. It is important to keep data updated and current in order to provide the public with an accurate picture of teacher distribution across schools in districts. North Dakota should update the data it reports on the percentage of highly qualified teachers at the school level, as the state has not done so since 2006.
North Dakota recognized the factual accuracy of this analysis.
Distribution data should show more than just teachers' years of experience and highly qualified status.
The first step in addressing the distribution of teachers is bringing transparency to the issue. States generally report little more than what is required by No Child Left Behind, which highlights years of experience and HQT 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 (see Goal 3-B), the most important distribution data that 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 reflects 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 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 huge 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).