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This paper aims to identify the well-being outcomes of a social prescribing model set within a secondary mental health service recovery pathway and understand the key characteristics of a social prescribing referral for producing these outcomes.

A qualitative case study of one mental health social prescribing service with three nested case studies of social prescribing providers. Semi-structured interviews were undertaken with commissioners, providers and patients (n = 20) and analysed thematically.

Social prescribing makes a positive contribution to emotional, psychological and social well-being for patients of secondary mental health services. A key enabling mechanism of the social prescribing model was the supportive discharge pathway which provided opportunities for sustained engagement in community activities, including participation in peer-to-peer support networks and volunteering.

More in-depth research is required to fully understand when, for whom and in what circumstances social prescribing is effective for patients of secondary mental health services.

A supported social prescribing referral, embedded within a recovery focussed secondary mental health service pathway, offers a valuable accompaniment to traditional approaches. Current social prescribing policy is focussed on increasing the number of link workers in primary care, but this study highlights the importance models embedded within secondary care and of funding VCSE organisations to receive referrals and provide pathways for long-term engagement, enabling positive outcomes to be sustained.

Social prescribing is widely advocated in policy and practice but there are few examples of social prescribing models having been developed in secondary mental health services, and no published academic studies that everybody are aware of.

Professional learning networks (PLNs) involve teachers’ collaboration with others outside of their school to improve teaching and learning. PLNs can facilitate teachers’ professional growth and school improvement. This study aims to explore the drivers for participation within PLNs, the enactment process and the impact of PLN participation on teachers, students and schools in Greece.

A descriptive phenomenological study was conducted to explore the lived experience of primary school teachers participating in PLNs.

The findings showed that individuals who were open to change were driving innovation to address a need or a lack in their daily practice that was not satisfied within their usual community of practice. The key element of the participation was peer collaboration with openness of communication without attendant accountability pressures. The change was mainly identified in teacher skills and the school climate. An individual could bring change only if the school is already open to change. In some cases, resistance to change in schools was identified before enactment or during enactment. The transformation of teachers’ and leaders’ stances is discussed, enabling the opportunity to maximise school improvement.

The study examines PLNs as European Union-funded initiatives that are developed by teachers in centralised education systems under the phenomenological research paradigm. It explores the PLNs in a different setting compared to the existing conceptual theory of change for PLNs.

This study aims to uncover the ongoing discourse on generative artificial intelligence (AI), literacy and governance while providing nuanced perspectives on stakeholder involvement and recommendations for the effective regulation and utilization of generative AI technologies.

This study chooses generative AI-related online news coverage on BBC News as the case study. Oriented by a case study methodology, this study conducts a qualitative content analysis on 78 news articles related to generative AI.

By analyzing 78 news articles, generative AI is found to be portrayed in the news in the following ways: Generative AI is primarily used in generating texts, images, audio and videos. Generative AI can have both positive and negative impacts on people’s everyday lives. People’s generative AI literacy includes understanding, using and evaluating generative AI and combating generative AI harms. Various stakeholders, encompassing government authorities, industry, organizations/institutions, academia and affected individuals/users, engage in the practice of AI governance concerning generative AI.

Based on the findings, this study constructs a framework of competencies and considerations constituting generative AI literacy. Furthermore, this study underscores the role played by government authorities as coordinators who conduct co-governance with other stakeholders regarding generative AI literacy and who possess the legislative authority to offer robust legal safeguards to protect against harm.