468 research outputs found
Art and design learning journey: interactions between learners and materials
This thesis is an empirical explorative and new materialist qualitative research journey representing a secondary school art and design teacher’s awakening to the importance and vitality of art education to young learners with regards to their own intrinsic learning journey and their subsequent wider outlook on life. Secondary education and specifically art education is vulnerable and prone to political whims, lack of interest and shifts of policy since 1768 and the founding of the Royal Academy. The historical and political lineage of art and design education is outlined along with the lasting impact of language used within more recent statutory documentation. Little research currently exists that specifically looks at what is generated within the processes of making and doing that are intrinsic to creative activity and are lived out in every art and design classroom environment. Within this thesis I will explore the rich potential for haptic and tacit knowledge to be generated within the creative process, driven by heuristic experiences. I will also highlight the generation of powerful emotional relationships generated between human and non-human actants which occur as students engage with making and doing within the art classroom. Through working directly with different creative processes and materials, including research, poetry, design, and ceramics, two classes of year 9 students explored both collaboratively and individually the value of making and responding to both their own learning experience and that of working with others. The physicist and academic Karen Barad offers a novel platform of diffractive analysis with which to interpret the research project data in order to challenge the accepted positionality of merely working through a creative process in a procedural way. Diffractive analysis is also central in the analysis of the intra-actions between human and nonhuman actants opening up further discussions challenging established hierarchy and status quo presently found in secondary education. The genesis of the creative process is explored through the material discursive phenomena created through the intra-actions between human and nonhuman matter
The Possibilities of Leaky Bodies. A Feminist Materialist Ethnography of Menstruating Youth
Using feminist new materialist theory and based on ethnographic field work, the monograph examins the (im) possibilities of young menstruants bodily becomings, as they navigate everyday youth life in a predominantly white upper-middle class suburb to Copenhagen, Denmark. To explore menstruation as a socio-material phenomena, the study pays attention to the meanings of whiteness, class and gender in relation to menstruation and zooms in how affects, bodies, blood, slime, pads and tampons matters to young menstruants bodily becomings. The study finds that the ignorance of menstruation in everyday life infrastructures, school pedagogics and peer relations can be limiting to young menstruants possibilities for joyfull participation in everyday life activiites. It however also shows how menstruation can matter for subversions of power and catalyze change, and how the leaky body can act as critique against neoliberal logics of bodies
The Development of a Conceptual Framework and an Accompanying Technology Enhanced Learning Tool to Reduce the Incidence of Pressure Ulcers: A New Model for Practice.
The incidence and prevalence of pressure ulcers has been an ongoing challenge for healthcare providers for decades, resulting in pain, suffering and a reduced quality of life for patients and an ever increasing financial burden for the NHS. The plethora of government initiatives, national and international guidelines all aimed at reducing their incidence has had little impact. Education and Training of healthcare professionals in pressure ulcer prevention, recognition and treatment has been shown to have a positive impact on incidence, and indeed there are some high quality free resources available, however, due to the lack of consistency in the quality and frequency of education and training the challenge remains. This study was commissioned by two NHS Trusts for the development of a new conceptual framework and model for practice to include a bespoke online learning tool with a specific focus on pressure ulcer risk assessment that could be accessed across a large geographic location.
A critical action research approach was chosen for this study as this enabled the researcher to build on each cycle, developing the conceptual framework and model for practice concurrently with the online learning tool. Thus developing and integrated approach to the prevention of pressure ulcers in all healthcare settings.
Building on the work of others, a conceptual framework has been developed that, for the first time combines all elements required to reduce the incidence of pressure ulcers, including the currency of competency testing, for healthcare staff involved in caring for patients at risk of developing pressure ulcers. It has been designed as a multimodal approach linking research, government strategies, education programmes such as “the TELT”, care provision and practice, as it is only through integration that consistency in practice will be achieved, leading to a reduction in incidence and prevalence of pressure ulcers.
For the TELT, the results reveal that that the bespoke, patient focussed, simulation technology enhanced learning tool has the potential to be used effectively as an integral component of the commissioning Trusts CPD portfolio. The TELT was well received by healthcare staff who approved the interactivity and challenges it posed. However, some technical issues did emerge, which for some impacted on the overall learning experience of the user. These have now all been addressed, and the programme can now be launched across the Trusts.
Overall the study positively supports the UK Government’s ambition, through the National Wound Care Strategy Programme, to reduce the incidence and prevalence of pressure ulcers, reducing the financial burden on the NHS and more importantly the pain and suffering of patients
Mapping the Sensible
Mapping figures in cinema as an experiential process inscribed within historically specific aesthetic regimes. The three long essays in this book explore mapping as a process of violent inscription on colonial landscapes (Malcomess) a practice of colonial racialisation through what Rancière terms a ‘distribution of the sensible’ (Carter) and a mode of culturally and historically located cinematic thinking (Rositzka)
Middle Savannah River: An A/r/tographic Ecopedagogical Ethnography Experimenting with Rhizomatic Perspectives
This research is an experiment in perspective. Using the four commonplaces (Schwab, 1978), I practiced letting the Savannah River teach me what there is to know about the water, the land, the people, and the other entities that depend on ki through artistic, ethnographic, and ecopedagogical lenses. The ethnographic findings describe the social actors that depend on ki and give a voice to the River. The a/r/tographic findings display the River on a canvas map through two hundred years using paint, clay, photography, video, abstract acrylics, and fabric. Together, these methods contribute to a unique ecopedagogical journey. This word cloud provides a small window into the work
AI as a Material for Design
From Netflix recommendations to Amazon Echos sitting proudly on kitchen countertops, artificial intelligence (AI) has been inserted into the mundane settings of our everyday lives. These ‘smart’ devices and services have given rise to the collection of data and processing within everyday objects, accumulating new challenges, particularly in legibility, agency, and negotiability of interactions. The emerging field of Human Data Interaction (HDI) recognises that these challenges go on to influence security, privacy, and accessibility protocols, while also encompassing socio-technical implications. Furthermore, these objects challenge designers’ traditional conventions of neutral interactions, which only work as instructed. However, these smart objects go beyond typical human-object relationships functioning in new and unexpected ways, creeping in function, and existing within independent and interdependent assemblages of human and non-human actants—demanding alternative considerations and design practice. This thesis aims to question the traditional practice of considering and designing for AI technology by arguing for a post-anthropocentric perspective of things with agency, by adopting the philosophical approach of Object Orientated Ontology with design research. This research ultimately presents and builds (a currently) unorthodox design approach of Human-AI Kinship that contests the design orthodoxies of human-centred design. Conclusively, this research seeks to bring into being AI as a material for design and justify through the case study of AI legibility. A More than Human Centered Design approach is established through a transdisciplinary and iterative Research through Design methodology, resulting in the design of AI iconography that attempts to communicate and signify AI’s ontology to human users. This thesis is concluded by testing the legibility of the icons themselves and discussing philosophy as an asset for design research
Systematic Approaches for Telemedicine and Data Coordination for COVID-19 in Baja California, Mexico
Conference proceedings info:
ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologies
Raleigh, HI, United States, March 24-26, 2023
Pages 529-542We provide a model for systematic implementation of telemedicine within a large evaluation center for COVID-19 in the area of Baja California, Mexico. Our model is based on human-centric design factors and cross disciplinary collaborations for scalable data-driven enablement of smartphone, cellular, and video Teleconsul-tation technologies to link hospitals, clinics, and emergency medical services for point-of-care assessments of COVID testing, and for subsequent treatment and quar-antine decisions. A multidisciplinary team was rapidly created, in cooperation with different institutions, including: the Autonomous University of Baja California, the Ministry of Health, the Command, Communication and Computer Control Center
of the Ministry of the State of Baja California (C4), Colleges of Medicine, and the College of Psychologists. Our objective is to provide information to the public and to evaluate COVID-19 in real time and to track, regional, municipal, and state-wide data in real time that informs supply chains and resource allocation with the anticipation of a surge in COVID-19 cases. RESUMEN Proporcionamos un modelo para la implementación sistemática de la telemedicina dentro de un gran centro de evaluación de COVID-19 en el área de Baja California, México. Nuestro modelo se basa en factores de diseño centrados en el ser humano y colaboraciones interdisciplinarias para la habilitación escalable basada en datos de tecnologías de teleconsulta de teléfonos inteligentes, celulares y video para vincular hospitales, clínicas y servicios médicos de emergencia para evaluaciones de COVID en el punto de atención. pruebas, y para el tratamiento posterior y decisiones de cuarentena. Rápidamente se creó un equipo multidisciplinario, en cooperación con diferentes instituciones, entre ellas: la Universidad Autónoma de Baja California, la Secretaría de Salud, el Centro de Comando, Comunicaciones y Control Informático.
de la Secretaría del Estado de Baja California (C4), Facultades de Medicina y Colegio de Psicólogos. Nuestro objetivo es proporcionar información al público y evaluar COVID-19 en tiempo real y rastrear datos regionales, municipales y estatales en tiempo real que informan las cadenas de suministro y la asignación de recursos con la anticipación de un aumento de COVID-19. 19 casos.ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologieshttps://doi.org/10.1007/978-981-99-3236-
A Learning Health System for Radiation Oncology
The proposed research aims to address the challenges faced by clinical data science researchers in radiation oncology accessing, integrating, and analyzing heterogeneous data from various sources. The research presents a scalable intelligent infrastructure, called the Health Information Gateway and Exchange (HINGE), which captures and structures data from multiple sources into a knowledge base with semantically interlinked entities. This infrastructure enables researchers to mine novel associations and gather relevant knowledge for personalized clinical outcomes.
The dissertation discusses the design framework and implementation of HINGE, which abstracts structured data from treatment planning systems, treatment management systems, and electronic health records. It utilizes disease-specific smart templates for capturing clinical information in a discrete manner. HINGE performs data extraction, aggregation, and quality and outcome assessment functions automatically, connecting seamlessly with local IT/medical infrastructure.
Furthermore, the research presents a knowledge graph-based approach to map radiotherapy data to an ontology-based data repository using FAIR (Findable, Accessible, Interoperable, Reusable) concepts. This approach ensures that the data is easily discoverable and accessible for clinical decision support systems. The dissertation explores the ETL (Extract, Transform, Load) process, data model frameworks, ontologies, and provides a real-world clinical use case for this data mapping.
To improve the efficiency of retrieving information from large clinical datasets, a search engine based on ontology-based keyword searching and synonym-based term matching tool was developed. The hierarchical nature of ontologies is leveraged to retrieve patient records based on parent and children classes. Additionally, patient similarity analysis is conducted using vector embedding models (Word2Vec, Doc2Vec, GloVe, and FastText) to identify similar patients based on text corpus creation methods. Results from the analysis using these models are presented.
The implementation of a learning health system for predicting radiation pneumonitis following stereotactic body radiotherapy is also discussed. 3D convolutional neural networks (CNNs) are utilized with radiographic and dosimetric datasets to predict the likelihood of radiation pneumonitis. DenseNet-121 and ResNet-50 models are employed for this study, along with integrated gradient techniques to identify salient regions within the input 3D image dataset. The predictive performance of the 3D CNN models is evaluated based on clinical outcomes.
Overall, the proposed Learning Health System provides a comprehensive solution for capturing, integrating, and analyzing heterogeneous data in a knowledge base. It offers researchers the ability to extract valuable insights and associations from diverse sources, ultimately leading to improved clinical outcomes. This work can serve as a model for implementing LHS in other medical specialties, advancing personalized and data-driven medicine
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