Technology for employability - quick read report

This quick read report provides a summary of the Technology for Employability full report. The report is the result of a study into the role of technology in developing student employability.

Janet certificate service factsheet

Read about how the service has evolved and improved over the past four years. JL

Guide to obtaining textbooks in alternative formats

Digital text benefits a wide range of learners, particularly disabled learners. For those with a visual impairment, it can be magnified or read out loud using synthetic speech. It can be navigated by heading and subheading levels, and text colours and backgrounds can be altered, both useful features for dyslexic learners. Definitions of unfamiliar words can be checked without leaving the text.

Case study: Raising awareness of how assistive technologies can support learners

Case study on Leeds City College and how they are using Texthelp Read&Write to support learners at all levels and abilities in their written work.

KE Workshop report: Report Knowledge Exchange workshop Making data count - Research Data and Research Assessment

The possibilities of digital research have altered the production, publication and use of research results. Academic research practice and culture are changing or have already been transformed, but to a large degree the system of academic recognition has not yet adapted to the practices and possibilities of digital research. This applies especially to research data, which are increasingly produced, managed, published and archived, but play hardly a role yet in practices of research assessment. The aim of the workshop was to bring experts and stakeholders from research institutions, universities, scholarly societies and funding agencies together in order to review, discuss and build on possibilities to implement the culture of sharing and to integrate publication of data into research assessment procedures. The report 'The Value of Research Data - Metrics for datasets from a cultural and technical point of view' was presented and discussed. Some of the key finding were that data sharing should be considered normal research practice, in fact not sharing should be considered malpractice. Research funders and universities should support and encourage data sharing. There are a number of important aspects to consider when making data count in research and evaluation procedures. Metrics are a necessary tool in monitoring the sharing of data sets. However, data metrics are at present not very well developed and there is not yet enough experience in what these metrics actually mean. It is important to implement the culture of sharing through codes of conducts in the scientific communities. For further key findings please read the report.