While there has been a lot of debate over the impact of online and remote learning on mental health and well-being, there has been no systematic syntheses or reviews of the research on this particular issue. In this paper, we review the research on the relationship between mental health/well-being and online or remote learning. Our review shows…

Education decisionmakers need access to the best evidence about the effectiveness of education interventions, including practices, products, programs, and policies. It can be difficult, time consuming, and costly to access and draw conclusions from relevant studies about the effectiveness of interventions. The What Works Clearinghouse (WWC)…

What is the best way of discovering the underlying structure of a causal system composed of multiple variables? One prominent idea is that learners should manipulate each candidate variable in isolation to avoid confounds (sometimes known as the control of variables [CV] strategy). We demonstrate that CV is not always the most efficient method for…

For binary experimental data, we discuss randomization-based inferential procedures that do not need to invoke any modeling assumptions. We also introduce methods for likelihood and Bayesian inference based solely on the physical randomization without any hypothetical super population assumptions about the potential outcomes. These estimators have…

The concept of correlation arises in Unit 3 of General Mathematics in the Australian Curriculum (ACARA, 2010-present). University students will meet the topic in applied statistics subjects in courses on business, psychology, research methods as well as in mathematical subjects on probability and statistics. When students are introduced to the…

Purpose: This study tested a set of variables mediating school leadership's influence on students referred to as "The four paths model." Each path in the model includes variables with significant direct effects on student learning and which are malleable to practices included in an integrated model of effective school leadership.…

Novel causal systems pose a problem of variable choice: How can a reasoner decide which variable is causally relevant? Which variable in the system should a learner manipulate to try to produce a desired, yet unfamiliar, casual outcome? In much causal reasoning research, participants learn how a particular set of preselected variables produce a…

Qualitative comparative analysis (QCA) is a set-theoretic configurational approach that uses the logic of Boolean algebra to conceptualize and empirically examine potentially complex causal relations. The potential of this methodological innovation to draw innovative insights toward answering enduring questions and to foster novel research has…

Widespread availability of rich educational databases facilitates the use of conditioning strategies to estimate causal effects with nonexperimental data. With dozens, hundreds, or more potential predictors, variable selection can be useful for practical reasons related to communicating results and for statistical reasons related to improving the…

Background: In the contemporary recent education landscape, an inventive paradigm known as "STEAM" has emerged, which augments the erstwhile STEM framework by incorporating the dimension of "Art". STEAM endeavors to enhance students' capacities for creativity, innovation, and design thinking. Among the various forms of artistic…

The Departments of Education and Justice are responsible for enforcing certain federal civil rights laws that prohibit discrimination in K-12 schools based on characteristics such as race, sex, and disability, including regarding police interactions with students. The House committee report for the Departments of Labor, Health and Human Services,…

Analyzing heterogeneous treatment effects (HTE) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and pre-intervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…

Replicable, aggregable, data- supported (RAD) research has become standard in writing center studies. Choice of research question is determined by local conditions and exigencies, often influenced by institutional assessment policy and national mandates. The methodology of choice in most writing center research is qualitative inquiry, though…

Randomized evaluations of educational technology produce log data as a bi-product: highly granular data on student and teacher usage. These datasets could shed light on causal mechanisms, effect heterogeneity, or optimal use. However, there are methodological challenges: implementation is not randomized and is only defined for the treatment group,…

Temporality-driven covariate classification had limited impact on: the specification of directed acyclic graphs (DAGs) by 85 novice analysts (medical undergraduates); or the risk of bias in DAG-informed multivariable models designed to generate causal inference from observational data. Only 71 students (83.5%) managed to complete the…