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Educational policy instruments such as apprenticeship levy and forthcoming lifetime skills guarantee are creating unprecedented opportunities for rapid growth in a range of work-based learning (WBL) programmes, requiring increasingly complex levels of collaboration between providers and employers. Apprenticeships require providers to assume responsibility in ensuring apprentices’ work-based managers and mentors (WBMMs) are equipped to provide effective support to individuals as they learn ‘on the job’. After six years of higher education institution (HEI) apprenticeship curriculum delivery, there is opportunity to examine existing WBMM practice to inform the design, content and delivery of a shared knowledge base via a practical interactive toolkit. By developing clearer understanding of WBMMs’ experiences, expectations and challenges, the study aims to reduce potential gaps in knowledge and skills and encourage more effective collaboration between employers and providers to better support apprentices as they progress through WBL programmes.

This paper discusses evolution of higher level and degree apprenticeships, explores guidance for WBMMs and investigates the influence of expectations and motivations of WBMMS. Theoretical and conceptual foundations relating to WBL programme delivery and WBMM role are analysed and discussed. Qualitative data drawn from semi-structured surveys are analysed thematically to investigate common patterns, clarify understanding and identify development areas to inform future university provider and employer practice.

The findings suggest a number of themes to improve apprentice management; further clarity of WBMMs role, greater involvement of WBMM’s for negotiated learning, unplanned experiences do add value and scope for richer mentoring dialogues. WBL value for WBMMs is broader than expected, incorporating apprentice performance and output improvements, and solving complex problems.

The research is drawn from an established university with five years of experience. However, the context in which programmes are delivered significantly varies according to providers and employers. This means factors other than those highlighted in this paper may continue to emerge as the research in this field develops.

The practical implications from findings can be used to cultivate stronger collaboration, providing a foundation of knowledge intended to provoke further dialogue regarding content for an interactive toolkit. The findings signal the need for further resources, a review of the restrictions associated with levy funding for co-creation of a more effective national apprenticeship framework.

This paper builds on a limited body of research examining employers’ perspectives of apprenticeship management. Degree apprenticeships have attracted limited scholarly attention over six years since their inception (Bowman, 2022) resulting in a significant paucity of research that focuses upon employer role. This study addresses this void by exploring WBMMs experiences, requirements and expectations, revealing new insights for providers of WBL, employers and individuals employed as WBMMs.

This study aims to investigate the research question: how do women leaders in the professional business services (PBS) sector develop and approach workplace (in)authenticity?

Ten senior women leaders in the Midlands region of the UK were purposefully selected and interviewed. A semi-structured approach meant that the author adopted a social constructionist paradigm and feminist interpretation. Questions were designed to elicit rich descriptions from the participants. An inductive thematic analysis was conducted to address the study’s purpose.

Four themes were important to women when they developed and approached workplace (in)authenticity: (1) Power Structures, (2) Fit to Belong, (3) Influential Femininity and (4) Through Her Evolution. Women described masculine-majority organisations exerting power. They were pressured into altering their behaviours to “fit” into workplaces. When women had the latitude to be themselves, their leadership excelled. Women’s authenticity developed through increased self-knowledge, helping them to overcome workplace challenges. The study concluded that women face complexities when developing and approaching their constructions of authenticity, namely in the barriers and ramifications they face.

The study suggests several implications for practice and theory concerning enablers and barriers to women leaders' workplace authenticity. The link between authenticity and workplace gender equity needs to be investigated.

The study provides evidence that women are challenged when becoming authentic, therefore, altering their careers irrecoverably in some cases.

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.