Educational researchers often need to construct precise and reliable measurement scales of complex and varied representations such as participants' written work, videoed lesson segments and policy documents. Developing such scales using can be resource-intensive and time-consuming, and the outcomes are not always reliable. Here we present…

Misinformation can have severe negative effects on people's decisions, behaviors, and on society at large. This creates a need to develop and evaluate educational interventions that prepare people to recognize and respond to misinformation. We systematically review 107 articles describing educational interventions across various lines of research.…

This colloquium brings information about a second cycle of OECD's International Early Learning and Well-being Study (IELS) to the early childhood community, and offers a further critique of the approach to comparative research that the IELS embodies.

With individual, social, and emotional skills increasingly emerging as integral components of a comprehensive education, this scientific study aims to organize and summarize the range of different approaches found in the literature regarding the role and contribution of to the holistic development of students and adolescents. This study serves as…

Studies of the grant proposal tend to conflate academic research grant proposals with other kinds of nonprofit grant proposal genres, even though research and nonprofit grant proposals have different audiences and goals. To address this gap, this study draws on the Aristotelian concept of "topoi" (or typical arguments) and uses corpus…

Despite increasing attention to citizenship education since the turn of the 21st century, the recent spread of authoritarian populism worldwide has raised relatively little attention in educational policy and research. As a result, the possibilities and limitations that national curricula offer to educators to deal with this phenomenon are still…

This paper presents a research experience in secondary schools that develop educational projects of a participatory and transformative nature. This contribution arises from the new educational needs emanating from augmented society and multiple literacies that transform communication and the circulation of knowledge, challenging conventional…

Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements "define" and "form" the construct and not the other way around. These constructs are referred to as emergent variables (also called…

In this article I make the case that in order to understand what is special and distinctive about education, we ought to approach education from the angle of the teacher. I show that this suggestion goes against a current trend in educational discourse, which is to put learners and their learning in the centre of attention. I argue why such a turn…

A small subset of education studies analyzes school data collected seasonally (separating the summer from the school year). At first, this work was primarily known for documenting learning loss in the summers, but scholars have since recognized that observing how inequality changes between summer and school periods provides leverage for…

This article takes stock of the current trends in research, policy and practice regarding the role of language in the dialogic classroom. The article uses the policies of two different educational jurisdictions as counterpoints to highlight the different ways that oral language can be positioned within primary curricula. It reflects on current and…

The use of adaptive comparative judgement (ACJ) for assessment in technology education has been topical since its introduction to the field through the e-scape project coordinated by the Technology Education Research Unit in the United Kingdom. In the last decade, however, there has been an increasing volume of research examining how ACJ can and…

We develop a structural after measurement (SAM) method for structural equation models (SEMs) that accommodates missing data. The results show that the proposed SAM missing data estimator outperforms conventional full information (FI) estimators in terms of convergence, bias, and root-mean-square-error in small-to-moderate samples or large samples…

Background: Observation Studies, Unmeasured Confounding, and Sensitivity Analysis: An important part of educational research is identifying important, potentially causal, factors that influence children's learning from observational studies. However, it is well-known that discovering such factors from observational studies can be biased due to…