This research aims to design a helpful methodology for estimating universities' relative impact on students as a sustainability factor in higher education. To this end, the research methodology implemented a two-stage approach. The first stage involves the relative efficiency analysis of the study units using Fuzzy Data Envelopment Analysis. The…

This project aims to gain insight into the mechanisms by which schools in highly challenging environments avoided learning loss--or even improved--during the pandemic. Using a unique dataset covering multiple levels of school, health, and environmental data, we examine which factors led schools to 'beat the odds' when it comes to learning…

Equity is not just about what colleges do: it is also about who they are, what they believe, and how they are situated within society at large. Equity-minded coaching seeks to make visible the social and structural context of exclusionary practices embedded within the leadership and institutions of American higher education. Equity-minded coaches…

Thanks to extraordinary and exponential improvements in data storage and computing capacities, it is now possible to collect, manage, and analyze data in magnitudes and in manners that would have been inconceivable just a short time ago. As the world has developed this remarkable capacity to store and analyze data, so have the world's governments…

This glossary features terms used in "Rubric for Equity-Minded Coaching Domains and Practices" (ED608098) as well as "Equity-Minded Coaching 'DOs' and 'DON'Ts'" (ED608101). [This report was produced as part of JFF's Student Success Center Network (SSCN) Coaching Program.]

As district- and school-level leaders face increasing pressure from federal, state, and local accountability mandates there has been increased dependence on using and analyzing student data to help improve student performance. While the reporting of disaggregated data by student subgroup confirms that achievement gaps exist, it does not provide…

This article provides insights into teachers' and school administrators' responses to the current "fetishisation" of school performance data in Australian schooling. Specifically, the research investigates the accountability practices that emerged in a Queensland metropolitan primary school in response to this broader focus upon…

This study examined the effects of the recently implemented North Carolina Educator Evaluator System (NCEES) on teaching practices and teacher leadership in a mostly rural county in the Piedmont region of North Carolina. NCEES is designed to improve teaching practices and teacher leadership through performance-based standards. This…

We use longitudinal data from Washington State to provide estimates of the extent to which performance on the edTPA, a performance-based, subject-specific assessment of teacher candidates, is predictive of the likelihood of employment in the teacher workforce and value-added measures of teacher effectiveness. While edTPA scores are highly…

The recession prompted reflection on how resource allocation decisions contribute to the performance of community colleges in the United States. Private benchmarking initiatives, most notably those established by the National Higher Education Benchmarking Institute, can only partially begin to address this question. Empirical and financial…

In this investigation, we examined the extent to which instructional expenditures were related to student academic achievement for students enrolled in Texas public schools for the 2005-2006 through the 2009-2010 school years. Student performance on the state-mandated assessments for all school districts in Texas for these five school years was…

In an earlier paper, we presented methods for estimating achievement gaps when test scores are coarsened into a small number of ordered categories, preventing fine-grained distinctions between individual scores. We demonstrated that gaps can nonetheless be estimated with minimal bias across a broad range of simulated and real coarsened data…

Ho and Reardon (2012) present methods for estimating achievement gaps when test scores are coarsened into a small number of ordered categories, preventing fine-grained distinctions between individual scores. They demonstrate that gaps can nonetheless be estimated with minimal bias across a broad range of simulated and real coarsened data…

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…

In an urban district, Surfside School personnel were concerned that student literacy proficiency levels were low during 2011-2014 and teachers had not been able to close the achievement gap despite a focus on literacy practices and literacy professional development (PD) provided by the district. The purpose of this case study was to explore the…