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Essay x-ray: using an in-house academic writing tool to scaffold academic skills support
This paper introduces a project to develop a digital academic writing tool at Leeds Beckett University (LBU). Essay X-ray is an interactive online tool designed to help students get to grips with the structure and style of academic writing and was developed using the Articulate Storyline 360 platform. The aim was to expand LBU’s academic skills support for students tasked with essay assignments, especially at Level 4, enabling independent learning using a self-paced format available open access and 24/7. This would complement existing academic skills provision (one-to-ones, workshops, drop-ins, static online resources), with the interactive element facilitating active, hands-on learning (Lumpkin, Achen and Dodd, 2015).
Following a successful development, review and rollout process, the utility of Essay X-ray as an independent learning tool but also as a classroom resource was reported by students and colleagues. Tentative talks about additional versions (Dissertation X-ray, Report X-ray) have taken place, indicating its potential for rollout to other subject areas and assessment types.
Finally, in-house digital academic skills tools like Essay X-ray are posited as a potential response to the recent upsurge in Generative Artificial Intelligence (GenAI) tools. Essay X-ray requires users to think critically about essay structure, style and content to create their own original pieces of writing, thus responding to questions about the maintenance of academic integrity in a digital world. These features enable users to develop their essay writing skills, in contrast to passive engagement with a GenAI programme that merely writes an answer for them
The comfort and functional performance of personal protective equipment for police officers: a systematic scoping review
Building a case for social enterprise to mobilise the SDGs in tourism: Venezia Autentica
Navigating the Integration of Machine Learning in Healthcare: Challenges, Strategies, and Ethical Considerations
The amalgamation of artificial intelligence (AI) and machine learning (ML) in healthcare offers a revolutionary prospect to improve patient outcomes, optimize workflow, and curtail expenses. Robust computational resources, competent interdisciplinary teams, and careful management of high-quality, diverse datasets are necessary for the successful deployment of ML models. To preserve public confidence and guarantee adherence to legal requirements, ethical issues, specifically those pertaining to patient consent, data privacy, and confidentiality are crucial. Regulatory bodies, legislators, and healthcare providers must all be involved in stakeholder engagement to establish a supportive environment for ML integration. The research highlights the significance of transparency and interpretability, promoting explainable AI models that augment clinician trust and enable wider adoption in the medical community. This thorough analysis finds important gaps in the current state of ML applications in healthcare and highlights new trends. It discusses ethical ramifications, realistic implementation guidelines, and the need for cooperative stakeholder engagement. The goal of the paper is to close the “translation gap” between model development and clinical application by examining real-world applications and offering a framework for the methodical integration of ML in clinical settings. The study promotes models that are not only technically sound but also user-friendly and in line with the practical needs of healthcare professionals by emphasizing the human-centric design of ML systems. By facilitating accurate and timely diagnoses, optimizing treatment plans, and eventually raising the standard of healthcare services as a whole, the strategic application of ML in the medical field holds the potential to completely transform patient care. This study opens the door to a future in which AI-driven healthcare solutions are smoothly integrated into routine clinical practice by providing useful insights and guidelines to enhance trustworthy and moral integration
An Examination of the Married Body of a Woman as Reflected Through Marital Rape in Nigeria
The Nigerian Penal Code allows ‘husbands to correct their wives’. A potential inquiry over the intended role of law would question whether the law is a means of salvation or a contributor to women’s objectification. The chapter asserts that the mutual contractual consent theory that advocates for the marital rape exemption from criminalization is a partial representation of the situation in Nigeria. Analysis of the institution of marriage within the socio-cultural context of Nigeria is crucial for gaining insights into the current manifestation of marital rape. This chapter presents a contextual framework for comprehending the non-recognition of marital rape in Nigeria by examining the objectification of women through the practice of ‘bride price’. The aim is to illustrate that this practice establishes a power hierarchy within marital relationships, which, when combined with the prevalent objectification of women in Nigerian society, shapes a certain perception of a woman’s body within the context of marriage, which in turn contributes to the occurrence of marital rape and violence within such unions. This chapter provides an analysis of Hale’s theoretical framework and its implications for comprehending the concept of marital rape in Nigeria, focusing on consent. The influence of ‘bride price’ on power dynamics within marriage in Nigeria draws upon Foucault’s theoretical framework of power and knowledge. This perspective offers valuable insights into the structural constraints imposed by the practice of ‘bride price’ and its impact on the autonomy of spouses within a marital union
A Knowledge Based Grade Prediction System using Machine Learning for Higher Education Institutions
The enhancement and preservation of standard in the higher education are pivotal for the enduring viability of Higher Education Institutes (HEIs). National Assessment and Accreditation Council (NAAC) in India introduced a new framework for evaluating HEIs in July 2017 based on qualitative and quantitative data analysis and will be assessed and is carried in two ways Data Validation & Verification (DVV) and the onsite peer team visit. The entire Assessment and Accreditation (A&A) process will take the timeline of six to seven months to complete is time consuming and the human intervention. In this proposed work, a predication model using machine learning techniques is developed to assess the performance of HEIs based on the NAAC Criteria within short timeframe and without human intervention. We have used the Multiclass label classification to predict the Key Indicator Qualitative metric score, and the classification based on the total Quantitative & Qualitative Score. The study utilized four distinct algorithms of Machine learning (ML) for classification: Naive Bayes (NB), Random Forest (RT), K-Nearest Neighbors (K-NN) and Support Vector Machine (SVM). The SVM classification technique exhibited the highest accuracy at 97%, followed by Random Forest at 94%, among the four classifiers
War captivity as a contact zone: The case of British prisoners of war on parole in Napoleonic France
The existing scholarship on Napoleonic captivity tends to focus on French prisoners of war held in Britain at the time. This article seeks to help redress this gap by drawing upon a range of English and French sources to investigate how British captives on parole experienced displacement in Napoleonic France during up to eleven years of their lives, between 1803 and 1814. The multifaceted relations that prisoners developed with residents and fellow captives offer important nuances for our understanding of Franco-British relations during the period. They also provide an insight into how war captivity formed a ‘contact zone’ amidst the conflict. Through this case study, the article highlights that the notion of ‘contact zone’ can provide a helpful framework to further conceptualise histories of prisoner of war experience, even beyond the Napoleonic Wars
On becoming a coaching practitioner- researcher: A duoethnographic study
Using a duoethnological approach, this paper synthesises the perspectives of two coaching practitioner researchers exploring questions of the epistemological and ontological foundations of coaching as an academic discipline and domain of professional practice. Initially, focus is centred on reflecting on the authors’ responses to two questions (1) How do my research interests and questions arise from my practice experience as a reflective coach or coach educator? and (2) How can I contribute to the development and impact of the coaching profession by integrating coaching practice and research expertise? Engaging with these questions through duoethnography, understood as a collaborative research methodology that promotes introspection and critical reflexivity, six themes were conceptualised as follows: (1) Pre-commencing the duoethnography process; (2) Beginning the duoethnography process and first phase of meeting; (3) Reflections on ontology of self and development; (4) The phenomenology of emergence in the coaching context; (5) Clarifying a personal coaching research agenda; (6) Reflection and commitments to forward/ future action. These themes support an argument for an existential-humanistic conceptual framework that contributes towards establishing coaching as an academic discipline and domain of professional practice. The article concludes by arguing that by personally engaging with questions of the ontology of self and ways of knowing oneself and others, duoethnography dialogue can contribute to the personal development of coaching psychologists and the professional evidence base of coaching practice
History and philosophy of Geography: looking back and looking forward
This introduction to the special issue 'Reflections on Histories and Philosophies of Geography' discusses the context and content of nineteen articles written to mark the fortieth anniversary of the History and Philosophy of Geography Research Group (HPGRG) of the Royal Geographical Society with the Institute of British Geographers (RGS-IBG). The group was founded in 1981, two years after the early career researchers who set up the group, Richard T. Harrison and David N. Livingstone, published jointly their first critical interventions in support of human geography’s paradigmatic shift away from positivism, based on an early form of social constructivist argumentation. We argue that the subsequent proliferation of epistemic pluralism, which is discussed in the contributions to this special issue and has characterised the activities organised by the HPGRG, exemplifies the considerable value of three historiographical practices: first, engaging with the history and philosophy of geography collectively in one research group; second, situating methodologies within the history and philosophy of geography; and third, critically interrogating the discipline’s evolving geographical knowledges, professional practices, and material cultures from different authorial positionalities