Even though context, content, and task factors are considered essential parts of digitally delivered instructional feedback, their effects on learning performance are most often studied separately. A meta-analysis was carried out to address the effects of context, content, and task factors of digitally delivered instructional feedback on learning…

This perspective paper describes the strategic development of evaluation and organizational learning programs focused on building core knowledge and skills at a university with high research activity. New program development allows academic leaders to introduce relevant and cutting-edge knowledge to students. Nevertheless, the program development…

There is a longstanding debate over how to evaluate teachers. Various models of teacher evaluation tools including observations, teaching artifacts, or frequent walkthroughs, provide evidence of daily classroom performance. Although there are questions on the most efficient means by which to complete evaluations, most agree evaluative tools must…

The importance of high-quality evaluation is underscored in Learning Forward's Standards for Professional Learning: Evaluation provides information that supports advocates, professional learning planners, and anyone who wants to know "about the contribution of professional learning to student achievement" (Learning Forward, 2011). Most…

In the past decade, there has been important progress in the development and validation of video-based instruments that enable the systematic assessment of teaching competence with large samples of teachers, across multiple settings and populations, and by researchers other than the developers. This commentary focuses on the methodological…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

We examine the efficiency implications of imposing proportionality in teacher evaluation systems. Proportional evaluations force comparisons to be between equally-circumstanced teachers. We contrast proportional evaluations with global evaluations, which compare teachers to each other regardless of teaching circumstance. We consider a policy where…

Across the world, university teachers are increasingly being required to engage with diversity in the classes they teach. Using the data from a large Economics 1 class at a South African university, this attempts to understand the effects of diversity on chances of success and how assessment can impact on this. By demonstrating how theory can be…

Until recently, states focused on ensuring the presence of a "highly qualified teacher" in every classroom. Under the 2001 reauthorization of the Elementary and Secondary Education Act (ESEA), known as No Child Left Behind (NCLB), this title described a teacher holding at least a bachelor's degree and the appropriate state license and…

This report summarizes the complex research literature on quantitative methods for assessing how impacts of educational interventions on instructional practices and student learning differ across students, educators, and schools. It also provides technical guidance about the use and interpretation of these methods. The research topics addressed…

The purpose of this paper is to offer an analytic perspective to policy makers and educational practitioners regarding how to use longitudinal achievement data to evaluate schools. The authors further discuss the potential practical applications of their models for superintendents, researchers, and policy makers. The premise of the study is that…

It is well established that teacher quality makes a difference in student learning. Since the implementation of No Child Left Behind in 2002, staffing every classroom with a high-quality teacher has been an official national priority. That goal entails an implicit requirement to assess teacher and teaching quality more rigorously than has been the…

Articles in this special issue present recent advances in using state-of-the-art software systems that gather data with which to examine and measure features of learning and particularly self-regulated learning (SRL). Despite important advances, there remain challenges. I examine key features of SRL and how they are measured using common tools. I…

For more than 50 years, the International Association for the Evaluation of Educational Achievement (IEA) has been instrumental in developing an analytical model for understanding the relationships between educational policy (the intended curriculum), classroom and instructional practices (the implemented curriculum), and educational learning…

This article discusses the construction of the "emotional disturbance" (ED) category in the cases of four African American elementary students. These cases represent a sub-set of data from a three-year ethnographic study of the special education process in a large, culturally/linguistically diverse school district. Based on interviews,…