Purpose: This paper problematises student support in higher education during the Covid-19 crisis and proposes an original approach of social network analysis for developing effective support for students from different socio-economic backgrounds.Design/methodology/approach: In this forward-thinking essay, the authors draw on theoretical ideas from Hannah Arendt in conceptualising the destructive and productive nature of societal crises such as the Covid-19 pandemic. We also draw on literature on social network analysis in exploring student support.Findings: The authors propose a number of recommendations for university staff to consider when developing effective student support, ranging from nurturing their own professional capital to mapping student support networks and the role of faculty within these.Originality/value: This paper emphasises the importance of developing effective student support that works for students from different socio-economic backgrounds. This is essential to avoid regression in widening participation policies and practices, and to promote inclusive university environments.

Background: Data-based decision-making (DBDM) and research-informed teaching practice (RITP) are key to teacher and school improvement. Currently, however, DBDM and RITP represent two distinct approaches to developing evidence-informed practice (EIP) and do not correspond to the all-encompassing notion of EIP envisaged by many academics and commentators. Purpose: DBDM and RITP are usually employed independently of each other. Each is associated with its own theoretical perspectives and research base, and each has its own pitfalls and strengths. Yet the approaches employed appear to be complementary, suggesting that there might be value in combining DBDM and RITP into one overarching process for achieving EIP. This paper presents the conceptual analysis and arguments for this proposal. Sources of evidence: Drawing from literature and previous research in the fields of DBDM, RITP and EIP, we describe both DBDM and RITP, before comparing and contrasting the integral aspects of each. Main argument: Our analysis leads us to suggest that not only is there overlap between these two approaches, but the strengths of each appear to mirror and compensate for the weaknesses of the other. As such, we argue that it is important that decisions in education are based on a combination of personal judgement, research evidence and local school data. This is because such a combination is likely to lead to equitable, effective and efficient decisions that are informed by values and preferences, grounded in context and steeped in practices that have been shown to be effective elsewhere. Conclusions: We suggest that an effective strategy for EIP might be to achieve ‘the best of two worlds’ by integrating DBDM and RITP. In line with evidence-informed practices in medicine and management, this means EIP in education can finally be engaged in as a holistic approach to educational decision-making that critically appraises different forms of evidence before key improvement decisions are made. Our proposed approach, Evidence informed School and Teacher Improvement, is thus designed with the aim of enhancing the quality of educational provision by employing these evidence types as part of a systematic cycle of inquiry, focused on continuously improving the quality of learning in schools.

Purpose: – Many governments worldwide are now promoting the importance of research-informed efforts at improvement. At the same time research is yet to make sustained impact on the practices of teachers. Given the importance of the issue and the lack of progress in this area, the purpose of this paper is to examine what drives teachers’ perceptions that their school: first, encourages the use of research evidence to support improvements to teaching; and second, whether school improvement strategies are grounded in research on effective practice.Design/methodology/approach: – Reviewing extant literature, the authors hypothesize that teachers’ perceptions of research use are related to their perceptions of: the presence of in-school organizational learning (OL) factors; whether they work in high-trust environments; and also to the frequency and quality of their “expertise-seeking” interactions. Using a survey instrument to measure OL, trust, and school research use climate, the authors gather data from 828 teachers in 43 schools. The authors then use social network analysis to quantify teachers’ professional relationships; with hierarchical linear regression employed to explore multilevel relationships between variables. Social network diagrams are also used to visualize the patterns of relationships between teachers/study variables.Findings: – The analysis indicates that teachers who report the climate of their schools to be focussed on learning, experimentation, and valuing new ideas, tend to also report more use of research/evidence. Likewise, teachers who had more frequent and useful interactions around teaching and learning also report more research/evidence use (RE Use) in their schools. Finally, and perhaps most powerfully, is that higher levels of perceived trust in the school are also associated with reporting higher levels of RE Use.Originality/value: – The results illustrate the importance of learning and trust in facilitating the types of relations needed to provide teachers with access to the research/evidence centered social capital that resides within a school. The work expands the notions of what is necessary to support the use of research/evidence in schools by placing more relational elements of the improvement equation front and center.

Professional Learning Networks (PLNs) of educators represent a promising approach to achieving continuous school improvement. At the same time, a range of studies in this area, including several sy...

The Covid-19 pandemic has caused a global crisis in higher education, affecting all aspects of university work and practices. This article focuses on student experiences, in particular by problematising academic and wellbeing support available to non-traditional students. This article proposes an original approach to student support as comprising social networks that are dynamic, reciprocal and involving a variety of formal/informal actors. We draw on interviews with 10 non-traditional students from a UK university to explore the nature of their student support. Our findings suggest that support networks for non-traditional students tend to exclude formal support services and centre primarily around family (wellbeing support) and fellow students (academic/wellbeing support). While these findings problematise the lack of institutional support in student networks which is likely to further disadvantage these students, it questions the dominant deficit views of non-traditional students. In particular, the interviews highlight the resourcefulness of close interactions and emphasise the importance of approaching student support as a dynamic network of informal and formal actors when responding to crisis situations such as the Covid-19 pandemic.