Simplifying equations via assumptions is integral to the "engineering method." Algebraic scaling helps in teaching the engineering skill of making good assumptions. Algebraic scaling is more than a pedagogical tool. It can create a solution where one was not possible before scaling. Scaling helps in engineering proper design…

In their nascent stages, charter schools formed under competing ideologies. In academic circles, charter schools were envisioned as pedagogical laboratories that would allow for educator- and community-driven school improvement. In other circles, charter schools emerged as a free-market reform driven by accountability, choice, and growth. Amid the…

It is widely recognised that feedback is an important part of learning: effective feedback should result in a meaningful change in student behaviour (Morris et al., 2021). However, individual feedback takes time to produce, and for large cohorts -- typified by the North of 300 challenge in computing (CPHC, 2019), it can be difficult to do so in a…

In an effort to scale success, many schools codify various practices to replicate them across schools. While such codification and replication can help scale success, scaling success often comes with numerous negative externalities such as a reduction of autonomy and burdens on successful educators. Based on real events and educators, this case…

Computer adaptive testing (CAT) is an increasingly common mode of test administration offering improved test security, better measurement precision, and the potential for shorter testing experiences. This article presents a new item selection algorithm based on a generalized objective function to support multiple types of testing conditions and…

This article is concerned with a subset of numerically stable and scalable algorithms useful to support computationally complex psychometric models in the era of machine learning and massive data. The subset selected here is a core set of numerical methods that should be familiar to computational psychometricians and considers whitening transforms…

Nowadays, university rankings are a familiar phenomenon in higher education all over the world. But how did rankings achieve this status? To address this question, we bring in a historical-sociological perspective and conceptualize rankings as a phenomenon in history. We focus on the United States and identify the emergence of a specific…

To support and better understand how to scale effectively, in 2020, the Millions Learning project at the Center for Universal Education (CUE) at Brookings joined the Global Partnership for Education's (GPE) Knowledge and Innovation Exchange (KIX), a joint partnership between GPE and the International Development Research Centre (IDRC), to…

To support and better understand how to scale effectively, in 2020, the Millions Learning project at the Center for Universal Education (CUE) at Brookings joined the Global Partnership for Education's (GPE) Knowledge and Innovation Exchange (KIX), a joint partnership between GPE and the International Development Research Centre (IDRC), to…

To support and better understand how to scale effectively, in 2020, the Millions Learning project at the Center for Universal Education (CUE) at Brookings joined the Global Partnership for Education's (GPE) Knowledge and Innovation Exchange (KIX), a joint partnership between GPE and the International Development Research Centre (IDRC), to…

The goal of creating evidence-based programs is to scale them at sufficient breadth to support population-level improvements in critical outcomes. However, this promise is challenging to fulfill. One of the biggest issues for the field is the reduction in effect sizes seen when a program is taken to scale. This paper discusses an economic…

In order for multi-institutional STEM education collaborations to scale justice-oriented change, the infrastructures they depend on must be designed--or redesigned--with equity and inclusion in mind. This article focuses on one interinstitutional collaboration as an example: the Sloan Equity and Inclusion in STEM Introductory Courses (SEISMIC)…

Multilevel modelling (MLM) is the most frequently used approach for evaluating interventions with clustered data. MLM, however, has some limitations that are associated with numerous obstacles to model estimation and valid inferences. Longitudinal multiple-group (LMG) modelling is a longstanding approach for testing intervention effects using…

The Institute of Education Sciences (IES), the research arm of the U.S. Department of Education, is the nation's leading source for rigorous, independent education research, evaluation, and statistics. IES's National Center for Education Research (NCER) supports rigorous research that addresses the nation's most pressing education needs from early…

For more than four decades, researchers, policymakers, professional educators, and the philanthropic community in education have wrestled with how to scale up promising pockets of reform. Centering equity in scaling efforts means working with and prioritizing students who have historically lacked access to powerful learning opportunities,…