1,506 research outputs found

    Utilising the virtual learning environment to encourage faculty reflection and improve the student learning experience

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    Student evaluations of teaching (SETs) are the most frequent form of faculty performance in the classroom, though they tend to be used as summative rather than formative evaluations. In this chapter, a project involving the use of a virtual learning environment for formative, weekly SETs is explored from both the student and faculty point of view at a rural university college in the United Kingdom. This project encouraged student participation in creating the learning environment and faculty reflection on how to improve the student experience. From the student perspective, the weekly anonymous evaluations were useful for providing feedback; however, students tended to only respond if they were not satisfied with the faculty member. The exception to this was that some students were more motivated to complete the evaluation forms if they believed the faculty member was utilising their feedback. From the faculty perspective, the feedback was not as detailed as they had expected, and some questioned whether it was worth the effort of conducting formative evaluations if the response rate was so low. Others used the feedback for reflective purposes, and it was found that those that reflected on their work at higher levels tended to receive a greater year-on-year increase in their end of year teaching evaluations.<br /

    The Impact of Water Scarcity on Food, Bioenergy and Deforestation

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    We evaluate the impact of explicitly representing irrigated land and water scarcity in an economy-wide model on food prices, bioenergy production and deforestation both with and without a global carbon policy. The analysis develops supply functions of irrigable land from a water resource model resolved at 282 river basins and applies them within a global economy-wide model of energy and food production, land-use change and greenhouse gas emissions. The irrigable land supply curves are built on basin-level estimates of water availability, and the costs of improving irrigation efficiency and increasing water storage, and include other water requirements within each basin. The analysis reveals two key findings. First, explicitly representing irrigated land at has a small impact on food, bioenergy and deforestation outcomes. This is because this modification allows more flexibility in the expansion of crop land (i.e. irrigated and rainfed land can expand in different proportions) relative to when a single type of crop land is represented, which counters the effect of rising marginal costs for the expansion of irrigated land. Second, due to endogenous irrigation and storage responses, changes in water availability have small impacts on food prices, bioenergy production, land-use change and the overall economy, even with large scale (~150 exajoules) bioenergy production.Primary funding for this research was through a sponsored research agreement with BP. The authors also acknowledge support in the basic development of the Economic Projection and Policy Analysis model from the Joint Program on the Science and Policy of Global Change, which is funded by a consortium of industrial sponsors and Federal grants including core funding in support of basic research under U.S. Environmental Protection Agency (EPA‑XA‑83600001) and U.S. Department of Energy, Office of Science (DE‑FG02‑94ER61937). For a complete list of sponsors see for complete list see http://globalchange.mit.edu/sponsors/current.html)

    Preterm birth buccal cell epigenetic biomarkers to facilitate preventative medicine

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    Preterm birth is the major cause of newborn and infant mortality affecting nearly one in every ten live births. The current study was designed to develop an epigenetic biomarker for susceptibility of preterm birth using buccal cells from the mother, father, and child (triads). An epigenome-wide association study (EWAS) was used to identify differential DNA methylation regions (DMRs) using a comparison of control term birth versus preterm birth triads. Epigenetic DMR associations with preterm birth were identified for both the mother and father that were distinct and suggest potential epigenetic contributions from both parents. The mother (165 DMRs) and female child (136 DMRs) at p < 1e-04 had the highest number of DMRs and were highly similar suggesting potential epigenetic inheritance of the epimutations. The male child had negligible DMR associations. The DMR associated genes for each group involve previously identified preterm birth associated genes. Observations identify a potential paternal germline contribution for preterm birth and identify the potential epigenetic inheritance of preterm birth susceptibility for the female child later in life. Although expanded clinical trials and preconception trials are required to optimize the potential epigenetic biomarkers, such epigenetic biomarkers may allow preventative medicine strategies to reduce the incidence of preterm birth

    How a patchwork of state taxes contributes to menstrual inequity in the US

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    Federalism in the United States means that many policies are the responsibility of individual states rather than, or in addition to, the federal government. Shyam K. Sriram, Stacy Cavanaugh, Annie Faulkner, and Mackenzie Winchester-Daniel take a close look at state tax policies on menstrual products, finding that 26 states still impose such taxes, though many have tried and failed to repeal or reduce them. They write that these taxes imposing an often-significant burden on the physical and mental health of young girls, women, and people who menstruate, while at the same time generating very little revenue for the states who impose them

    Effects of cropping, smoothing, triangle count, and mesh resolution on 6 dental topographic metrics

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    Dental topography is a widely used method for quantifying dental morphology and inferring dietary ecology in animals. Differences in methodology have brought into question the comparability of different studies. Using primate mandibular second molars, we investigated the effects of mesh preparation parameters smoothing, cropping, and triangle count/mesh resolution (herein, resolution) on six topographic variables (Dirichlet normal energy, DNE; orientation patch count rotated, OPCR; relief index, RFI; ambient occlusion, portion de ciel visible, PCV; enamel surface area, SA; tooth size) to determine the effects of smoothing, cropping, and triangle count/resolution on topographic values and the relationship between these values and diet. All topographic metrics are sensitive to smoothing, cropping method, and triangle count/resolution. In general, smoothing decreased DNE, OPCR, RFI, and SA,increased PCV, and had no predictable effect on tooth size. Relative to the basin cut off (BCO) cropping method, the entire enamel cap (EEC) method increased RFI, SA, and size, and had no predictable effect on DNE and OPCR. Smoothing and cropping affected DNE/ OPCR and surfaces with low triangle counts more than other metrics and surfaces with high triangle counts. There was a positive correlation between DNE/OPCR and triangle count/ resolution, and the rate of increase was weakly correlated to diet. PCV tended to converge or decrease with increases in triangle count/resolution, and RFI, SA, and size converged. Finally, there appears to be no optimal triangle count or resolution for predicting diet from this sample, and constant triangle count appeared to perform better than constant resolution for predicting diet

    Introduction: looking beyond the walls

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    In its consideration of the remarkable extent and variety of non-university researchers, this book takes a broader view of ‘knowledge’ and ‘research’ than in the many hot debates about today’s knowledge society, ‘learning age’, or organisation of research. It goes beyond the commonly held image of ‘knowledge’ as something produced and owned by the full-time experts to take a look at those engaged in active knowledge building outside the university walls
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