Education researchers have extensively studied classroom discourse as a way to understand classroom structures and learning. This article proposes the use of social network analysis (SNA) as a method for discourse studies in education. SNA enables us to learn about the connections between persons and the patterns of relations within groups. This…

The widespread adoption of digital e-learning environments and other learning technology has provided researchers with ready access to large quantities of data. Much of this data comes from discussion forums and has been studied with analytical methods drawn from social network analysis. However, within this large body of research there exists…

The focus of this paper is on "Sporting Schools", a $100 million policy initiative intended to increase children's sport participation in Australia. Our account seeks to proffer a critical analysis of this federal policy, and the way it functions as part of the new heterarchical or networked form of sports governance in Australia. Using…

Psychologists are interested in whether friends and couples share similar personalities or not. However, no statistical models are readily available to test the association between personalities and social relations in the literature. In this study, we develop a statistical model for analyzing social network data with the latent personality traits…

Although social networks change over time, network dynamics remain an understudied area of social network research. The detailed logs that are a feature of online social networks allow for easier observation and capturing of social network evolution. This study examines the evolution of an online social network. The network is proposed to evolve…

Data science has maintained its popularity for about 20 years. This study adopts a bottom-up approach to understand what data science is by analyzing the descriptions of courses offered by the data science programs in the United States. Through topic modeling, 14 topics are identified from the current curricula of 56 data science programs. These…

A learning community works with a collective knowledge space where members contribute and interact with one another's ideas to advance their community's knowledge. This study aims to explore designs of collective knowledge space to support cross-community interaction. A design experiment was conducted in four grade 5 classrooms with the support of…

According to the National Research Council, the ability to collaboratively solve problems is of the utmost importance in scientific careers, yet students are not exposed to learning experiences that promote such expertise. Recent studies have found that interdependent roles used within collaborative mobile games are an effective way to scaffold…

The field of education technology (edtech) has emerged as a complex, multimillion-dollar industry, with various hubs in the USA leading the boom. This exploratory article uses a networks perspective to reveal the power dynamics of investor firms in edtech. The analysis examines the current top venture capitalists and their edtech companies, based…

Intergovernmental organizations (IOs) increasingly promote global citizenship education (GCE) and related topics. This paper analyses the body of scholarship on GCE that focuses on teachers and interprets the development of environment-related education (ERE) within the GCE discourse. Using a novel, data-rich methodology employing Natural Language…

Lifelong learning is regarded as an important channel in promoting active engagement in later life for aging societies. While most studies depict older learners as a group resilient to engaging in lifelong learning, few have addressed the impacts of their social networks on their participation. Drawing on the nationwide lifelong learning program…

Network meta-analysis (NMA) combines direct and indirect evidence from trials to calculate and rank treatment estimates. While modelling approaches for continuous and binary outcomes are relatively well developed, less work has been done with time-to-event outcomes. Such outcomes are usually analysed using Cox proportional hazard (PH) models.…

There is an increasing competition between universities globally to attract students. At this point, to compete, it is imperative for the universities to improve the quality of education provided for their stakeholders, including students, parents, and employers. For improving the quality of education, first of all, the universities should make…

There is an increasing body of research which examines the reliability and validity of different modes of network measurement with most studies focusing on the classical paper or digital network questionnaires. Visual methods of data collection, in which interviewees draw their ego-centered network in a pictorial representation, still live a kind…

The focus of this paper is to share thinking about networks in action research (AR) and to consider their role, purpose, and how networks' outcomes and impacts might be evaluated. Networks are often a by-product of AR projects, yet research focused on the network itself as part of a project is rare. The paper is one of several associated with the…