Social Network Analysis (SNA) is a promising yet underutilized tool in the international development field. SNA entails collecting and analyzing data to characterize and visualize social networks, where nodes represent network members and edges connecting nodes represent relationships or exchanges among them. SNA can help both researchers and…

Network meta-analysis (NMA) is a statistical technique for the comparison of treatment options. Outcomes of Bayesian NMA include estimates of treatment effects, and the probabilities that each treatment is ranked best, second best and so on. How exactly network topology affects the accuracy and precision of these outcomes is not fully understood.…

In-depth understanding of nature of science (NOS) moves beyond knowledge of discrete NOS aspects to consider connections among NOS aspects. This study presents three teacher cases pre to post a nature of science graduate course to explore the potential of an innovative analytic approach that focuses on the connections individual learners make…

In this article, I analyse documents from the Pedagogical Museum of Paris, particularly the writings of Ferdinand Buisson (1878-1879), in which the author addresses not only the French experience but others too. This analysis allowed me to outline a network of transnational sociability composed by intellectuals, pedagogues, and people from public…

Purpose: Educators need to engage in continuous learning to ensure that their knowledge and practice responds to the changing needs of society and students. Collaborative approaches, in which social capital resource is exchanged, can serve as an effective way of facilitating such learning. With this systematic review, the authors identify the…

In this reflective piece, representatives of the agencies that funded and managed the Early Learning Systems Research program -- the UK Foreign, Commonwealth and Development Office (FCDO) and the World Bank -- take stock of recent global developments in research, policy, and financing by donors for early childhood education (ECE). A rapid increase…

The public often makes judgements about schools and what happens within them, despite rarely setting foot inside of one. Prior research finds that the public relies on word-of-mouth, news media, and online resources that rate and rank schools in order to make decisions. Notably though, much of the existing literature predates the widespread usage…

Debugging is an intellectually rich and a challenging process when learning a programming language. This process is important for increasing the quality of the program and making it functional. Debugging, by its nature, is thought to be a practice with a state of focus and concentration. This study explored whether the debugging performance could…

This paper reports on a study that examined the process of two international doctoral students' academic socialisation in Chinese universities. Drawing on the concept of academic socialisation and social network analysis, we analysed multiple types of data, including study-abroad social network questionnaires, concentric circles interviews,…

Every year, several teachers retire from the education sector in Rivers State and these teaching retirees still have a lot they can contribute to the education system but can only deliver lifelong educational services when life after retirement is patterned to what is obtainable during active service. The study investigated teaching retirees' life…

Drug repurposing refers to the process of discovering new therapeutic uses for existing medicines. Compared to traditional drug discovery, drug repurposing is attractive for its speed, cost, and reduced risk of failure. However, existing approaches for drug repurposing involve complex, computationally-intensive analytical methods that are not…

Wayfinding, which is a part of learning in connectivist learning, involves consolidating a wide variety of resources and information and building connections among them. However, learners often encounter difficulties in wayfinding, and are lost without technological support in connectivist learning. This study examined the wayfinding processes…

Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…

Social networks have grown rapidly in recent years, enabling the application of social web technologies to the scientific process and creating platforms that enhance communication between researchers. The aim of this research is to go one step further and investigate whether the use of more general social networks, such as Twitter (currently X) or…

Background: While dyadic faculty-mentored relationship research currently saturates the mentoring literature, recent developments suggest the need for a broader consideration of a student's mentor network. Research taking a network approach may provide deeper insights into the formation and benefits of mentorship for undergraduate students in…