The Improvement Network Health and Development Framework (INHD Framework) sets a vision for a complex new organizational form for practical problem solving: the Networked Improvement Community (NIC). One critical test of this idealized framework is to explore its usefulness in describing variation in these deliberatively formed, temporary…

As Ratnam makes clear, a cultural-historical perspective on teacher/faculty excessive entitlement is indispensable if we are to use this concept to work with, rather than undermine, education practitioners. In this chapter, a networked relational model of activity is proposed as a tool for understanding excessive entitlement from a…

The main goal of this article is to analyse the Non-Partisan School movement (EsP, or Escola sem Partido) which articulates social and political actors around a conservative agenda for education in Brazil. Based on Ball's studies, this article analyses political governance networks using a free software, GEPHI, using a qualitative network…

Checking for possible inconsistency between direct and indirect evidence is an important task in network meta-analysis. Recently, an evidence-splitting (ES) model has been proposed, that allows separating direct and indirect evidence in a network and hence assessing inconsistency. A salient feature of this model is that the variance for…

The purpose of this paper is to introduce citation networks, a novel method for identifying field connections, and to elaborate a theory of spatiality that deploys the metaphors of bubbles and foams to imagine space and change. After introducing the method and theory that guide this investigation, the author will introduce and describe the foams…

Blended learning, as an efficient teaching mode that combines the advantages of both online and offline learning, has been widely applied in universities. Nevertheless, the different learning patterns induce difficulty in evaluating the learning quality. In this paper, an approach of integrating online and offline interactions is proposed by…

The pandemic represented a context where rapid changes to planning, organization and service delivery were undertaken to respond to an urgent and life-threatening health system problem. There was intense interest in knowledge mobilization--mechanisms that allow the timely sharing of evidence with the aim of supporting improvement--to mitigate the…

Purpose: Learning and innovation networks for sustainable agriculture (LINSA) are considered drivers of innovation towards a more sustainable agri-food system. However, sustaining long-term funding remains a challenge for many networks. This paper aims to provide a comprehensive conceptualization of how funding relates to LINSA continuation and…

This article explores how the concept of affective infrastructure might offer a productive vantage point from which to theorize the ways that affects condition education policy and politics in education. In particular, the article theorizes 'affective infrastructure' to discuss the potentialities that emerge in struggles to formulate and enact new…

Network meta-analysis (NMA) can be used to compare multiple competing treatments for the same disease. In practice, usually a range of outcomes is of interest. As the number of outcomes increases, summarizing results from multiple NMAs becomes a nontrivial task, especially for larger networks. Moreover, NMAs provide results in terms of relative…

The exponential growth of scholarly publications in recent years has presented a daunting challenge for researchers to keep track of relevant articles within their research field. To address this issue, we examined the capabilities of InfraNodus, an AI-Powered text network analysis platform. InfraNodus promises to provide insights into any…

This narrative delves into the symbiotic relationship between historically Black colleges and universities (HBCUs) and external allies, emphasizing the construction of collaborative partnerships. As an engaged outsider, I adopt an approach grounded in active listening, continuous learning, and commitment to amplifying HBCU narratives. Embracing my…

Automatic short answer grading (ASAG) is a challenging task that aims to predict a score for a given student response. Previous works on ASAG mainly use nonneural or neural methods. However, the former depends on handcrafted features and is limited by its inflexibility and high cost, and the latter ignores global word cooccurrence in a corpus and…

The aim of this paper is to analyse the relationship between academic inbreeding in Portugal and research collaboration, using co-authored publications as proxies. As previous research has shown that inbreeding is detrimental for research collaborations, it is hypothesised that academic inbreeding will lead to smaller research networks and,…

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…