Thirteen years after the publication of the book "Social Network Theory and Educational Change," what can we say about the evolution of research connecting social network theory and analysis with teacher professional development? In this evolution, we can witness a conceptual shift in the literature connecting teacher professional…

Teach for Australia was announced by the Australian Government in 2008, at a corporate dinner sponsored by Swiss multinational investment bank UBS, hosting New York Schools Chancellor Joel Klein. Conceptualising Teach for Australia as a polycentric policy network anchored in venture philanthropy, this paper examines how networks mobilise major…

Though higher education scholars have long known that undergraduate student engagement is associated with student persistence, they have yet to fully unravel its character and how it evolves over time. We argue that this is in part due to the individualistic, static ways engagement is measured even though scholars recognize it as a fundamentally…

Network meta-analysis (NMA) is an established method for assessing the comparative efficacy and safety of competing interventions. It is often the case that we deal with interventions that consist of multiple, possibly interacting, components. Examples of interventions' components include characteristics of the intervention, mode (face-to-face,…

Network meta-analysis has been an essential methodology of systematic reviews for comparative effectiveness research. The restricted maximum likelihood (REML) method is one of the current standard inference methods for multivariate, contrast-based meta-analysis models, but recent studies have revealed the resultant confidence intervals of average…

This workshop brings together research on self-reflection tools and frameworks focusing on the development of digital skills and competences in Education. The workshop reported mainly on work about SELFIE and SELFIEforTEACHERS two self-reflection tools developed by JRC in collaboration with DG-EAC. The aim of this workshop was to compile the…

Social network analysis (SNA) is a research method that, when applied to improvement science, can help leaders understand the strength of relationships within their organization. The COVID-19 pandemic has had a lasting impact on organizational norms, and it has interrupted relationship building efforts. This paper documents a case study of the…

As institutions grapple with the challenges of keeping students from contracting COVID-19, classroom scheduling and space analysis have become central to assigning courses to physical classrooms. One question institutional leaders ask is whether some courses create a higher risk of exposure based on the number of students who are directly or…

Meta-analytic methods are powerful resources to summarize the existing evidence concerning a given research question and are widely used in many academic fields. Meta-analyzes can also be used to study sources of heterogeneity and bias among results, which should be considered to avoid inaccuracies. Many of these sources can be related to study…

This article demonstrates how network analysis of qualitative content can be used to build on traditional research approaches to confirm and expand prior findings and to point to fruitful directions for future research. Drawing on mixed methods research on policies and practices that improve access to study abroad at U.S. higher education…

This article discusses the potential of mixed-method social network analysis (MMSNA) as a methodology for designing and conducting studies that address questions of interplay between human agency and social structures in educational settings. First, we discuss a rationale for using MMSNA referring to the theoretical calls for better understanding…

Social media is a defining part of contemporary communication. College-aged students, as frequent users of these platforms, are often aware of their functionality but less knowledgeable about their additional impact beyond social networking. In sum, these platforms intersect with a vast legal landscape that can be difficult for even the most avid…

In relational event networks, the tendency for actors to interact with each other depends greatly on the past interactions between the actors in a social network. Both the volume of past interactions and the time that has elapsed since the past interactions affect the actors' decision-making to interact with other actors in the network. Recently…

Social Network Analysis (SNA) is a statistical method used to analyze the social structure and interactions among individuals within a network. SNA is used extensively in a number of disciplines such as sociology, geography, and communications research. However, the use of SNA by practitioners and researchers in assessment and evaluation is much…

The multilevel social relations model (SRM) is a commonly used statistical method for the analysis of social networks. In this article and accompanying supplemental materials, we demonstrate the estimation and interpretation of the SRM using Stat-JR software. Multiple software templates permit the analysis of different response types, including…