鈥淰alue added鈥� models that track the test-score gains of individual students over time hold great promise but should not yet be used as the main basis for rewarding or punishing teachers, according to two reports released this month.
The reports, by a study group of the National Association of State Boards of Education and by Henry I. Braun, a researcher at the Educational Testing Service, describe such models as a welcome antidote to judging teachers and schools based solely on whether their students have exceeded some absolute level of performance.
Value-added models 鈥渕ove the discussion about teacher quality to where it belongs: centered on increasing student learning as the primary goal of teaching,鈥� writes Mr. Braun in 鈥淯sing Student Progress to Evaluate Teachers: A Primer on Value-Added Models.鈥�
is posted by .
The executive summary of is available from the .
But he cautions that practical and technical problems remain. In particular, while studies suggest a relationship between teacher quality and gains in student learning, that suggestion is far from proving that an individual teacher has caused a student to make progress or not.
鈥淪uch interpretations are most credible when students are randomly sorted into classes, and teachers are randomly assigned to those classes,鈥� Mr. Braun says in the study from the Princeton, N.J.-based test-maker. 鈥淚n reality, the classroom placement of students and teachers is far from random.鈥�
Student learning also can be influenced by a variety of factors beyond a teacher鈥檚 control, he continues, such as the physical condition and resources of the school, which are hard to account for in the statistical models available.
Caution Urged
While value-added models might play some role in teacher evaluation, agrees NASBE鈥檚 study group on value-added assessment, they should be used with caution.
鈥淲e believe that 糖心动漫vlog should recognize that value-added assessment is a 鈥榯ool,鈥� 鈥� says the report from the Alexandria, Va.-based organization, 鈥渂ut it is not 鈥榯otal鈥欌�攁nd indeed that the data can only with certainty identify about the top 10 percent and bottom 10 percent of teachers.鈥�
Both reports suggest that value-added methods hold great potential for making lower-stakes decisions about teachers, such as identifying those who need extra training or support.
Such models also introduce 鈥渢he promise of a much-needed quantitative component in teacher evaluation,鈥� argues Mr. Braun, but should always be combined with other sources of information, such as observations of classroom performance.
The NASBE study group also was enthusiastic about the use of value-added measures as a 鈥渄ata-driven component鈥� of efforts to improve instruction at the classroom, school, and district levels.
鈥淚ndeed, many believe that this is the most significant advantage of value-added models,鈥� the report says.
Many states are exploring ways to add a 鈥済rowth鈥� or value-added measure to calculate whether schools are making adequate yearly progress under the federal No Child Left Behind Act. The NASBE study group urges the U.S. Department of Education to allow for the use of such growth indicators as a component of AYP calculations.
Adding evidence of students鈥� academic growth is needed 鈥渘ot only out of fairness,鈥� the study group says, but also because when combined with measures of absolute achievement, the method also provides 鈥渢he most accurate picture of the effectiveness of schools.鈥�
鈥淚n addition,鈥� it says, 鈥渇ailure to use growth as one indicator of success could end up making it even more difficult to retain effective teachers in disadvantaged schools.鈥�
That鈥檚 because schools whose students start far below the proficient level on state tests may make great progress over the course of a year and yet still not meet state targets for achievement.
