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Partnership at play: empowering student partners to navigate third space
No full textSolent Student Partner Programme is a cross-institutional, third-space project led by the central Education Office at Southampton Solent University in the UK. This case study discusses how we have used kinaesthetic play to support our Student Partners to articulate and negotiate the challenges of third-space partnerships. It starts by outlining our Student Partner Programme in the context of the third-space partnership literature. Then it describes the Play-Doh method that we used to support students to reflect on their identity and experiences as third-space partners. The case study concludes by arguing that play provides an empowering tool for students (and staff) to mould third-space partnerships together
The sprint and repeated sprint ability of recreational fours and fives wheelchair rugby players
No full textWheelchair rugby (WCR) is an indoor contact sport. The sport is commonly known for its paralympic discipline, WCR Fours. A more inclusive version of the sport, WCR Fives, was developed recently. Previously, it has been reported that sprint and repeated sprint (RS) ability are crucial for success in WCR. However, very little is known about the differences in these qualities between those playing WCR Fours and Fives, or between those with a spinal cord injury (SCI) and those without, in recreational WCR players. Therefore, this study aimed to address these gaps in a non-elite sample of athletes. A total of 21 (17 males and four females; SCI n = 10, Non-SCI n = 11) players (mean ± SD; age: 34.66 ± 12.34 years; mass: 76.23 ± 21.96 kg; stature: 1.76 ± 0.09 m) participated. This study measured velocity (m·s-1) and acceleration (m·s-2) with splits at 5, 10, 15, and 20m during three maximal 20m sprint efforts and timing splits during 10 x 20m RSs. Fours and Fives showed similar velocities and accelerations across all distances during the initial sprints. SCI participants had slower velocities and lower acceleration across all distances. However, there were interactions between disability and distance where although SCI participants had lower accelerations over the initial 0-5m distance, the difference decreased as the distance covered increased. During the RSs, similar performances across all distances and all sprint numbers were observed for Fours and Fives and SCI and non-SCI players. In conclusion, there appears to be little difference between Fours and Fives sprint and RS ability
Storying the silences of social mobility
No full textThis chapter explores class as a multi-faceted, intersectional concept best understood through subjective, storied realities rather than objective metrics. It critiques the tendency of universities to rely on reductive, clichéd understandings of student experiences and outcomes, thereby overlooking the complex emotional dimensions of class in Higher Education and missing crucial opportunities to design truly inclusive curricula and programmes. Drawing on findings from narrative research, the chapter argues for the creation of collective, person-centred spaces where working-class experiences can be openly shared, recognised, and valued. By illuminating often-unspoken class struggles, it offers empowering insights into social mobility and demonstrates the transformative potential of narrative approaches to class in Higher Education. In a sector increasingly dominated by metrics, such discourse is not only important but urgently needed
Designing an inclusive toolkit to empower early career academics in their educational practice
No full textEarly career academics (ECAs) face substantial pressures in establishing their academic careers, often prioritising research outputs over teaching. While much focus has been placed on supporting ECAs’ research-related development, less attention has been given to enhancing their teaching practices, particularly in supporting student writing. The expertise required to teach and support student writing only compounds the difficulty of this situation, especially if learning development support is not available to students. This presentation reported on the findings of a SEDA-funded project that responded to calls to equip ECAs with the skills needed to foster confidence and self-efficacy across multiple academic activities (Dore and Richards, 2022). The project contributes to ongoing discussions about the role of ECAs in supporting student learning alongside learning development while ensuring their own professional development and wellbeing. Focusing specifically on writing support within the context of generative AI – a growing challenge in higher education – we have been working on developing a practical toolkit for ECAs to better support students in academic writing while addressing issues of AI integrity. Exploring ECAs’ needs and perspectives through semi-structured interviews and focus group discussions has informed our understanding of what such a toolkit might look like and how generalisable and transferable it might be. During the session, we shared our observations, designs and hopes for this toolkit, which aims to assist ECAs in balancing student support with their own wellbeing, thereby protecting them from overwork and enhancing their teaching practice
Partnership at play: empowering student partners to navigate third space
Get PDFSolent Student Partner Programme is a cross-institutional, third-space project led by the central Education Office at Southampton Solent University in the UK. This case study discusses how we have used kinaesthetic play to support our Student Partners to articulate and negotiate the challenges of third-space partnerships. It starts by outlining our Student Partner Programme in the context of the third-space partnership literature. Then it describes the Play-Doh method that we used to support students to reflect on their identity and experiences as third-space partners. The case study concludes by arguing that play provides an empowering tool for students (and staff) to mould third-space partnerships together
An interpretable and generalizable machine learning model for predicting asthma outcomes: integrating AutoML and explainable AI techniques
Get PDFAsthma remains a prevalent chronic condition, impacting millions globally and presenting significant clinical and economic challenges. This study develops a predictive model for asthma outcomes, leveraging automated machine learning (AutoML) and explainable AI (XAI) to balance high predictive accuracy with interpretability. Using a comprehensive dataset of demographic, clinical, and respiratory function data, we employed AutoGluon to automate model selection, optimization, and ensembling, resulting in a model with 98.99% accuracy and a 0.9996 ROC-AUC score. SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-Agnostic Explanations) were applied to provide both global and local interpretability, ensuring that clinicians can trust and understand model predictions. Additionally, counterfactual analysis enabled hypothetical scenario exploration, supporting personalized asthma management by allowing clinicians to assess potential interventions for individual patient risk profiles. To facilitate clinical adoption, a Streamlit v1.41.0 application was developed for real-time access to predictions and interpretability. This study addresses key gaps in asthma prediction, notably in model transparency and generalizability, while providing a practical tool for enhancing personalized care. Future research could expand the validation across diverse patient populations to reinforce the model’s robustness in broader clinical environments
Technology's influence on strategic thinking
No full textIn today's rapidly evolving business landscape, strategic thinking encounters both opportunities and challenges shaped by technology. Organisations must navigate intense competition while pursuing sustainable growth, addressing societal pressures to prioritise circular economy practices, workplace well-being, and environmental impact. This chapter explores the complex relationship between technology and strategic thinking, advocating for a balanced and adaptable approach that aligns progress with broader societal and environmental goals.It examines how technology empowers leaders to access real-time strategic intelligence through AI, construct digital ecosystems for collaboration, and develop advanced business models for competitive advantage. Additionally, technology enhances market intelligence, enabling informed strategic choices and AI-powered forecasting.However, the chapter also highlights critical challenges: managing cybersecurity risks, adapting to continuous innovation, balancing personalised engagement with data privacy, addressing biases in AI decision-making, and ensuring human oversight in strategic decisions. By recognising these dynamics, organisations can harness technology effectively while navigating its inherent risks
Evaluating alternative medicines for hypertension using Ghana’s Traditional and Alternative Medicine Practice Act: Standards of Safety and Legitimacy - a comprehensive policy analysis using implementation science frameworks
Get PDFThis comprehensive analysis employs implementation science frameworks to evaluate gaps in Ghana’s Traditional and Alternative Medicine Practice Act 575 concerning clinical efficacy evidence standards for integration, compared to global benchmarks and stakeholder perspectives. A systematic policy analysis combining the Consolidated Framework for Implementation Research (CFIR), Exploration-Preparation-Implementation-Sustainment (EPIS) frameworks, and SEIPS-CRuPAC approach was conducted. Data sources included recent peer-reviewed literature (2020-2024), policy documents, stakeholder reports, and implementation assessments through systematic database searches and stakeholder analysis. Act 575 demonstrates comprehensive safety regulatory frameworks but significant gaps in mandated clinical efficacy evaluation requirements. Recent stakeholder studies (2021-2024) reveal persistent barriers including regulatory costs (GHC 60 vs GHC 20 for comparable treatments), limited approved traditional medicine products, and poor interprofessional collaboration. Implementation science analysis identifies critical gaps in outer context factors (policy support), inner context factors (organizational readiness), and bridging factors (evidence generation capacity). Ghana’s pioneering traditional medicine legislation requires strategic amendments incorporating evidence-based efficacy evaluation requirements, enhanced stakeholder engagement mechanisms, and strengthened implementation capacity to achieve WHO integration goals by 2030. Multi-level interventions including policy amendments mandating phased clinical trials, establishment of collaborative research platforms, dedicated funding mechanisms, and harmonization with international standards through implementation science-guided approaches.This study provides the first systematic implementation science-informed evaluation of African traditional medicine policy, offering replicable methodology for policy strengthening across similar contexts and direct relevance to Ghana’s 2024-2030 Strategic Plan for Traditional Medicine Development
Ethnicity and clinical empathy in primary care consultations: a web-based experiment
No full textBackgroundClinical empathy may enhance patient satisfaction and health outcomes. The interaction between ethnicity and clinical empathy is under-explored. AimTo compare how people from different ethnicities perceive GPs' communication of clinical empathy. Design and SettingA 2 (consultation style) x4 (participant ethnicity) web-based experiment using film vignettes.Methods274 UK Black British, White Caucasian, East Asian, and South Asian adults (50% female; Mean age 39.7), recruited from an online participant pool were randomly assigned to watch one of two films showing enacted GP consultations for osteoarthritis - enhanced consultation (high empathy) or standard consultation (limited empathy). Participants’ perceptions of clinical empathy were assessed quantitatively and qualitatively. ResultsAcross the whole sample and within all four ethnicities, enhanced consultations were rated as more empathic than standard consultations; there were no significant effects of participant ethnicity on ratings of empathy. Bayesian analysis confirmed an effect of consultation style and indicated there were no differences between ethnicities in ratings of clinical empathy. Qualitative comments talked about the doctor: (not) showing interest in the patient; responding with(out) respect; conveying warmth, empathy, and hope; and (not) clearly explaining management options or clinical decisions. Participants of all four ethnicities commented on similar aspects of the enhanced and standard consultations. ConclusionsIn this well-controlled experiment, the empathic communication skills modelled in the enhanced consultation were interpreted similarly positively by UK adults of Black British, Caucasian, East Asian, and South Asian ethnicities. Core elements of clinical empathy appear relevant and similarly valued across these ethnic groups
Evaluating the effectiveness and impact of AI-driven image annotation on digital content organization
No full textThe organization of digital content demands efficient image annotation, a process that is both time-consuming and labor-intensive when performed manually. This study evaluates the effectiveness and impact of artificial intelligence-driven solutions for automating image annotation, specifically evaluating convolutional neural networks (CNNs) and a fine-tuned visual transformer (ViT). Using the CIFAR-100 dataset, we trained and tested these models, utilizing matrix such as Precision, Recall, and F1 Score to assess performance. Our results reveal that AI-driven methods significantly enhance both the efficiency and accuracy of image annotation, with a fine-tuned ViT model achieving a notable 90% accuracy while utilising standard hardware. This demonstrates the practicality and scalability of AI in real-world digital content management applications. By minimising manual effort and expediting the annotation process, our findings highlight AI’s transformative potential to reform digital content organization, providing a clear pathway for future advancements and broader adoption
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