Assessment and learning analytics both collect, analyse and use student data, albeit different types of data and to some extent, for various purposes. Based on the data collected and analysed, learning analytics allow for decisions to be made not only with regard to evaluating progress in achieving learning outcomes but also evaluative judgments…

Since articles on school choice naturally tend to concentrate on outcomes from various "initiatives," they tend to offer little by way of theoretical advance in the manner in which choice policy is understood or in the way school choice is actualized within families and how students are thought to benefit from it. Against a political…

The formula is simple: Highly effective teachers equal student academic success. Yet, the physics of American education is anything but. Thus, the question facing education reformers is how can teacher effectiveness be accurately measured in order to improve the teacher workforce? Given the demand for objective, quantitative measures of teacher…

Nonrandom assignment of students to teachers can bias value-added estimates of teachers' causal effects. Rothstein (2008, 2010) shows that typical value-added models indicate large counterfactual effects of fifth-grade teachers on students' fourth-grade learning, indicating that classroom assignments are far from random. This article quantifies…

Extensive education research on the contribution of teachers to student achievement produces two generally accepted results. First, teacher quality varies substantially as measured by the value added to student achievement or future academic attainment or earnings. Second, variables often used to determine entry into the profession and…

This brief describes estimation and measurement issues relevant to estimating the quality of instruction in the context of a cumulative model of learning. It also discusses implications for the use of value-added estimates in personnel and compensation matters. The discussion highlights the importance of accounting for student differences and the…

Mounting pressure in the policy arena to improve teacher productivity either by improving signals that predict teacher performance or through creating incentive contracts based on performance--has spurred two related questions: Are there important determinants of teacher productivity that are not captured by teacher credentials but that can be…

The concept is simple and attractive: Evaluate teachers on the basis of how much academic growth their students experience over the course of the school year. Often referred to as "value-added," this concept and the statistical methods for implementing it have been a topic of debate in state legislatures and at state and national…

Value-added models in education research allow researchers to explore how a wide variety of policies and measured school inputs affect the academic performance of students. Researchers typically quantify the impacts of such interventions in terms of "effect sizes", i.e., the estimated effect of a one standard deviation change in the…