225 research outputs found

    Distance learning, OER, and MOOCs: some UK experiences

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    This paper discusses learning at scale from the perspective of two UK Universities engaging in technology enhanced learning. Three case studies are used to illustrate ways in which scale has been achieved. There is diversity in how scale is supported but also common factors. Openness and choice appear as enablers in all cases

    Educational practices and strategies with immersive learning environments: mapping of reviews for using the metaverse

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    The educational metaverse promises fulfilling ambitions of immersive learning, leveraging technology-based presence alongside narrative and/or challenge-based deep mental absorption. Most reviews of immersive learning research were outcomes-focused, few considered the educational practices and strategies. These are necessary to provide theoretical and pedagogical frameworks to situate outcomes within a context where technology is in concert with educational approaches. We sought a broader perspective of the practices and strategies used in immersive learning environments, and conducted a mapping survey of reviews, identifying 47 studies. Extracted accounts of educational practices and strategies under thematic analysis yielded 45 strategies and 21 practices, visualized as a network clustered by conceptual proximity. Resulting clusters “Active context”, “Collaboration”, “Engagement and Scaffolding”, “Presence”, and “Real and virtual multimedia learning” expose the richness of practices and strategies within the field. The visualization maps the field, supporting decision-making when combining practices and strategies for using the metaverse in education, highlights which practices and strategies are supported by the literature, and the presence and absence of diversity within clusters.info:eu-repo/semantics/acceptedVersio

    Monitoring and modelling the morphodynamic evolution of a breached barrier beach system

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    Predicting the evolution of a coastal cell requires the identification of the key drivers of morphology. Soft coastlines are naturally dynamic but severe storm events and even human intervention can accelerate any changes that are occurring. However, when erosive events such as barrier breaching occur with no obvious contributory factors, a deeper understanding of the underlying coastal processes is required. Ideally conclusions on morphological drivers should be drawn from field data collection and remote sensing over a long period of time. Unfortunately, when the Rossbeigh barrier beach in Dingle Bay, County Kerry, began to erode rapidly in the early 2000’s, eventually leading to it breaching in 2008, no such baseline data existed. This thesis presents a study of the morphodynamic evolution of the Inner Dingle Bay coastal system. The study combines existing coastal zone analysis approaches with experimental field data collection techniques and a novel approach to long term morphodynamic modelling to predict the evolution of the barrier beach inlet system. A conceptual model describing the long term evolution of Inner Dingle Bay in 5 stages post breaching was developed. The dominant coastal processes driving the evolution of the coastal system were identified and quantified. A new methodology of long term process based numerical modelling approach to coastal evolution was developed. This method was used to predict over 20 years of coastal evolution in Inner Dingle Bay. On a broader context this thesis utilised several experimental coastal zone data collection and analysis methods such as ocean radar and grain size trend analysis. These were applied during the study and their suitability to a dynamic coastal system was assessed

    Characterization of skeletal phenotypes of TRα1(PV) and TRβ(PV) mutant mice: implications for tissue thyroid status and T3 target gene expression

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    Bone development is extremely sensitive to alterations in thyroid status. Recently, we analyzed the skeletal phenotypes of mice with the dominant negative resistance to thyroid hormone (RTH) mutation PV targeted to either the thyroid hormone receptor (TR) α1 or β gene. This perspective summarizes our findings to date and explores the wider implications for thyroid status and T3 target gene expression in individual tissues

    Prognostic performance of TNM8 staging rules in oral cavity squamous cell carcinoma

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    Background: Two major changes to the staging of oral cavity squamous cell carcinoma (OCSCC) were adopted in TNM8: (1) depth of invasion is now used for T staging and (2) extranodal extension for N staging. The aim of this study was to evaluate if TNM8 stratifies OCSCC patients more accurately than TNM7 based on overall survival (OS) statistics and hazard discrimination. Methods: Retrospective study of 297 patients with OCSCC who underwent surgery at our institution. Clinical and pathological data were previously populated from review of medical charts and histological reports. Slides were re-reviewed for depth of invasion measurements. Patients were staged using both TNM7 and TNM8 with overall survival statistics analysed. Results: Overall 118 patients (39.7%) were upstaged using TNM8. Both TNM7 and TNM8 stage categories were highly significant for OS (all p values < 0.0001). Hazard discrimination analysis showed that TNM7 could only differentiate stage III from stage IV disease with significance (OS p = 0.01). In comparison TNM8 could distinguish between stage II and III disease (OS p = 0.047) and between stage III and IV disease (OS p = 0.004). Subsite analysis suggested that both editions of the staging system perform best for tongue primaries. Conclusions: Although TNM8 showed improved hazard discrimination in comparison to TNM7, problems with discriminative ability persisted with 8th edition staging criteria. Large scale validation studies will be required to direct future refinement of the staging rules and to establish if the continued use of a single staging system for all oral cavity subsites is appropriate

    Human stem cell osteoblastogenesis mediated by novel glycogen synthase kinase 3 inhibitors induces bone formation and a unique bone turnover biomarker profile in rats

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    AbstractWnt activation by inhibiting glycogen synthase kinase 3 (GSK-3) causes bone anabolism in rodents making GSK-3 a potential therapeutic target for osteoporotic and osteolytic metastatic bone disease. To understand the wnt pathway related to human disease translation, the ability of 3 potent inhibitors of GSK-3 (AZD2858, AR79, AZ13282107) to 1) drive osteoblast differentiation and mineralisation using human adipose-derived stem cells (hADSC) in vitro; and 2) stimulate rat bone formation in vivo was investigated. Bone anabolism/resorption was determined using clinically relevant serum biomarkers as indicators of bone turnover and bone formation assessed in femurs by histopathology and pQCT/μCT imaging.GSK-3 inhibitors caused β-catenin stabilisation in human and rat mesenchymal stem cells, stimulated hADSC commitment towards osteoblasts and osteogenic mineralisation in vitro. AZD2858 produced time-dependent changes in serum bone turnover biomarkers and increased bone mass over 28days exposure in rats. After 7days, AZD2858, AR79 or AZ13282107 exposure increased the bone formation biomarker P1NP, and reduced the resorption biomarker TRAcP-5b, indicating increased bone anabolism and reduced resorption in rats. This biomarker profile was differentiated from anabolic agent PTH1–34 or the anti-resorptive Alendronate-induced changes. Increased bone formation in cortical and cancellous bone as assessed by femur histopathology supported biomarker changes. 14 day AR79 treatment increased bone mineral density and trabecular thickness, and decreased trabecular number and connectivity assessed by pQCT/μCT.GSK-3 inhibition caused hADSC osteoblastogenesis and mineralisation in vitro. Increased femur bone mass associated with changes in bone turnover biomarkers confirmed in vivo bone formation and indicated uncoupling of bone formation and resorption
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