Academicians, experts, and other stakeholders have contributed extensively to the literature on university rankings also known as "league tables". Often the tone is critical usually focused on the subjective aspects of the process; e.g., the list of the universities' attributes used in the rankings, their respective weights, and the size…

In this article, A. Adrienne Walker introduces the concept of person fit to education stakeholders as a source of evidence to inform the trustworthiness of a test score for interpretation and use (validity). Person fit analyses are used in educational measurement research to explore the degree to which a person's test score can be interpreted as a…

In "Using Learning Progressions to Design Vertical Scales that Support Coherent Inferences about Student Growth" (hereafter ULR), Briggs and Peck suggest that learning progressions could be used as the basis of vertical scales with naturally benchmarked descriptions of student proficiency. They propose and provide a single example of a…

In educational technology and learning sciences, there are multiple uses for a predictive model of whether a student will perform a task correctly or not. For example, an intelligent tutoring system may use such a model to estimate whether or not a student has mastered a skill. We analyze the significance of data recency in making such…

This article is a commentary of a paper by Derek C. Briggs and Frederick A. Peck, "Using Learning Progressions to Design Vertical Scales That Support Coherent Inferences about Student Growth," which describes an elegant potential framework for at least beginning to address three priorities in large-scale assessment that have not been…

Secretary of Education Duncan (2010) lamented the state of U.S. education in 2010 after the release of the results from the 2009 Programme for International Student Assessment (PISA). He wrote: "Unfortunately, the 2009 PISA results show that American students are poorly prepared to compete in today's knowledge economy. President Obama has…

The purpose of this article is to introduce a new statistic to capture the ratio of equitable student outcomes given equitable inputs. Given the fact that finance structures should be aligned to outcome standards according to judicial interpretation, a ratio of outputs to inputs, or "equity ratio," is introduced to discern if conclusions can be…

Background/Context: Two key uses of international assessments of achievement have been (a) comparing country performances for identifying the countries with the best education systems and (2) generating insights about effective policy and practice strategies that are associated with higher learning outcomes. Do country rankings really reflect the…

Predicting the future is now in the hands of K12 administrators. While for years districts have collected thousands of pieces of student data, educators have been using them only for data-driven decision-making or formative assessments, which give a "rear-view" perspective only. Now, using predictive analysis--the pulling together of data over…

A high school principal and faculty celebrated after hearing that their students in each of the quartiles had improved in both reading and mathematics on the state accountability assessment. Because of the percent of increases in achievement levels on the test, the Florida Department of Education awarded the school an A for 2011. Shortly…

The aim of the National Numeracy Strategy is to raise standards in numeracy. Strong evidence for its success has, however, been lacking: most of the available data come from performance on National Test assessments administered in schools or from Ofsted reports, and is vulnerable to suggestions of bias. An opportunistic analysis of data from a…

A meta-analysis determined the importance of feedback in computer-based learning; 59 studies were collected and evaluated for inclusion in the meta-analysis in terms of design, sample size, and availability of appropriate statistics. Achievement outcomes were found to be greater for the feedback group than the control group. (AEF)