PGR Tracker Administration Manual

This is a user guide to support faculty administrators who need to use the PGR Tracker system to administer and maintain post graduate student records and related tasks. Use the 'Download' option underneath the main display to save a PDF copy of the manual locally.

Predicting sense of community and participation by applying machine learning to open government data

Community capacity is used to monitor socio-economic development. It is composed of a number of dimensions, which can be measured to understand the possible issues in the implementation of a policy or the outcome of a project targeting a community. Measuring community capacity dimensions is usually expensive and time consuming, requiring locally organised surveys. Therefore, we investigate a technique to estimate them by applying the Random Forests algorithm on secondary open government data. This research focuses on the prediction of measures for two dimensions: sense of community and participation. The most important variables for this prediction were determined. The variables included in the datasets used to train the predictive models complied with two criteria: nationwide availability; sufficiently fine-grained geographic breakdown, i.e. neighbourhood level. The models explained 77% of the sense of community measures and 63% of participation. Due to the low geographic detail of the outcome measures available, further research is required to apply the predictive models to a neighbourhood level. The variables that were found to be more determinant for prediction were only partially in agreement with the factors that, according to the social science literature consulted, are the most influential for sense of community and participation. This finding should be further investigated from a social science perspective, in order to be understood in depth.

Review of A-level Chemistry content 2015

ITEM DESCRIPTION After producing reviews of A-level Chemistry content in 2007 and 2010, we have updated the document to reflect the changes which have been introduced for first teaching in September 2015. We will be working with our network of teachers locally to monitor the impacts of the changes on teaching and the student experience with a view to releasing an updated version in the summer of 2017. This will aim to provide insights for university staff regarding the experiences of incoming students who will have been in the first cohort to have studied the new specifications. We are grateful to the Royal Society of Chemistry for support for the final stages of compiling this report. If you spot any errors or omissions, please don't hesitate to contact us.