The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…

Federal law requires states and school districts to institute accountability systems that report disaggregated student data to ensure that all children make academic progress. However, one of the mandated categories for disaggregation -- English Learner (EL) -- is reported as a single group despite representing students who are beginning,…

Purpose: This paper argues that in a well-organised school with strong leadership and vision coupled with a concerted effort to improve the teaching performance of each teacher, student achievement can be enhanced. The purpose of this paper is to demonstrate that while macro-effect sizes such as "whole of school" metrics are useful for…

The Education Equality Index (EEI), created through a unique collaboration of GreatSchools and Education Cities, is a nationally comparative measure that looks at how well students from low-income families are achieving in schools, cities, and states across the country and The EEI taps GreatSchools' national school information database and…

The purpose of this study was to determine if there was a difference in the writing assessment scores for each of the four traits--development, focus and organization, language, and conventions--as measured by the Tennessee Comprehensive Assessment Program (TCAP) of students who had a formal keyboarding course compared to those who did not. A…

Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…

Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…

Background: This study aimed to examine whether verbal responsiveness in special education teachers varied among subgroups of children with autism spectrum disorder (n = 112) who differed in cognitive and language abilities. Methods: Participants were divided into clusters using cluster analysis based on standardised cognitive and language tests…

This paper provides evidence on the sources of differences in inequality in educational scores and their evolution over time in four European countries. Using Programme for International Student Assessment data from the 2000 and the 2006 waves, the paper shows that inequality decreased in Germany and Spain (two "decentralised" schooling…

California's alternative education options for youth vulnerable to dropping out of school have been established at different historical points and for different student age and target populations. For purposes of this brief, "alternative school" is defined as belonging to one of six legislatively authorized types of public (non-charter)…

Educators have long used test scores to make educational decisions, but only within the last decade has the availability of data been systematic (Abelman, Elmore, Even, Kenyon, & Marshall, 1999). In recent years, interest has spiked in data-driven decision making in education (Marsh, Pane, & Hamilton, 2006). With technological advances and…

This study explored 6th grade students reading of science text on the iPad to better understand how students with varying strengths of comprehending text and current academic abilities interpret text on their iPads. Our study sample compared three students with strong reading scores based on informal reading inventories, standardized tests, and…

This study used a series of text message inquiries sent to General Chemistry students asking: "Have you studied for General Chemistry I in the past 48 hours? If so, how did you study?" This method for collecting data is novel to chemistry education research so the first research goals were to investigate the feasibility of the technique…

Some universities administer standardized tests to estimate school effects on student learning. To that end, many of those institutions choose to gather cross-sectional data (freshmen and seniors in the same academic year) rather than longitudinal data. The effects of this decision on institutional assessment results are generally unknown. The…

The study is a comparative analysis of physics candidates' scores in West African and National Examinations Councils. It also investigates influence of gender. Results of 480 candidates were randomly selected form three randomly selected Senior Science Colleges using the WASSCE and NECOSSCE computer printout sent to the schools, transformed using…