Demand for cybersecurity professionals from industry and institutions is high, driven by an increasing digitization of society and the growing range of potential targets for cyber attacks. However, despite this pressing need a significant shortfall in the number of cybersecurity experts remains and a discrepancy has emerged between the skills…

The aim of this paper is to foreground network analysis as a statistical lens through which higher education institutions can articulate their own process of striving for teaching excellence, and how it is constituted in their own contexts. The paper offers an approach to analysis that extends the frontiers of methodologies in 'measurement' of…

Background: The ever-increasing computational demands call for optimal resource utilisation and system performance in the cloud environment. Organisations are increasingly migrating workloads to cloud platforms, mandating the need for efficient resource distribution. Load balancing, a critical cloud component, ensures equitable distribution of…

This paper presents a methodological approach based on the use of complex networks to analyze the structure and content of curricula. We analyze the concept network built from the final year of a particular high school physics curriculum, as well as that of mathematics. We examine the most central nodes in each case, the community structures…

This research employs an egocentric social network analysis to describe the well-being social support networks of six Native American college women at one Midwestern university. Amid rising concerns about college student well-being, this study offers asset-based perspectives on the unique experiences of Indigenous college women, acknowledging the…

Purpose: The review aims to synthesize previous studies to present an overview of the techniques commonly used in learning analytics, as well as identify possible knowledge gaps in the extant studies and provide insights on future directions for learning analytics techniques moving forward. Design/methodology/approach: This paper provides a…

This research aims to uncover current trends and key issues by examining the research in mathematics education during the period 2017-2021. For this purpose, five major peer reviewed academic journals indexed by the Social Sciences Citation Index (SSCI) in Web of Science (WoS) have been examined in detail: "Educational Studies in…

Over a billion students worldwide have suffered from school closure since the beginning of COVID-19 due to confinement. Educational Researchers have been illustrating various issues in the form of thousands of publications which signifies a significant academic interest. This review aimed to portray the vast scientific landscape of COVID-19 and…

Causal inference under treatment interference is a challenging but important problem. Past studies usually make strong assumptions on the structure of treatment interference in order to estimate causal treatment effects while accounting for the effect of treatment interference. In this article, we view treatment diffusion as a concrete form of…

The purpose of this research was to study the spreading of political hate speech by the far right through Twitter. A mixed methodology was employed, combining both quantitative and qualitative tools, within the framework of digital ethnography. Five characteristic cases of campaigns linked to political hate speech were chosen, meeting the four…

The purpose of this dissertation is to study the consistency of the structures and the centrality of mathematics courses in the curricula of the universities in the Minnesota State University system. This research will be based on the curriculum prerequisite networks for the seven universities in the Minnesota State System. These networks will be…

In this paper, a key node mining algorithm of entropy-CRITIC combined weighted GRA-TOPSIS method is proposed, which is based on the network structure features. First, the method obtained multi-dimensional data of students' identities, seating relationships, social relationships, and so on to build a database. Then, the seating similarity among…

Adapting to the expectations of educational institutions can be difficult for any students, but it is particularly difficult for disadvantaged, first-generation college students with a minority ethnic background. Our case study, employing a social network perspective, examines the role of small peer-communities in the academic adjustment of…

Rooted in the decent education as a precursor to decent work, this study investigated via network analysis the relationship between the work as meaning inventory for university students (WAMI-U) (positive meaning, meaning-making through study, greater good motivations) and the humor styles questionnaire (HSQ) (health-promoting styles: affiliative…

We use a co-authorship network analysis to describe and examine the social network of researchers studying physical education content knowledge worldwide. Co-authorship network analysis is a method for determining the scope, trend, and focus of research around a topic. It provides a way to evaluate both the growth of a field and to examine the…