Asset Training and Consultancy: A successful approach to introducing e-portfolios

Asset Training and Consultancy Ltd has introduced an e-portfolio system to replace paper-based portfolios. The approach taken, through the creation of a development plan and the gradual introduction of technology, is engaging learners more and improving learner relationships with assessors.

Effective Practice with e-Portfolios

Effective Practice with e-Portfolios, one in a series of Effective Practice guides, uses the outcomes of recent significant projects and examples from current practice to explore how e-portfolios can add value to personalised and reflective models of learning. Drawing on the work of key national agencies and organisations and on excellent practice and recent initiatives by institutions and professional bodies, the guide illustrates a wide variety of e-portfolio use across further, higher and continuing education.

Crossing the Threshold: Moving e-portfolios into the mainstream

Crossing the Threshold, one of a series of advice and guidance publications, is designed to support use of the online e-Portfolio Implementation Toolkit and video case studies by those involved in wide-scale implementation of e-portfolios in their institutions. As the resources address the needs of both managers and practitioners, the publication has relevance for a wide range of readers in further and higher education and work-based learning. To assist the planning and effective management of a large-scale e-portfolio implementation, Crossing the Threshold follows the stages of an implementation journey with insights and guidance drawn from the toolkit and its supporting case studies. Links are provided throughout the publication to more detailed information in the two online resources.

A systematic review protocol on the use of teaching portfolios for educators in further and higher education.

portfolio and undergraduate students have suggested that a teachingportfolio may have a benefit for educators in higher education as a means to providerelevancy and focus to their teaching.Design. The objectives of the review are to evaluate how a teaching portfolio assistseducators in teaching and learning; to evaluate the effects of maintaining a teachingportfolio for educators in relation to personal development; to explore the type ofportfolio used; to determine whether a teaching portfolio is perceived more beneficialfor various grades and professional types; and to determine any motivatingfactors or workplace incentives behind its implementation and completion. A searchof the following databases will be made MEDLINE, CINAHL, BREI, ERIC andAUEI. The review will follow the Joanna Briggs Institute guidance for systematicreviews of quantitative and qualitative research.Conclusion. The review will offer clarity and direction on the use of teachingportfolios, for educators, policymakers, supervisory managers and researchers involvedin further and higher education.

Computing probable maximum loss in catastrophe reinsurance portfolios on multi-core and many-core architectures

In the reinsurance market, the risks natural catastrophes pose to portfolios of properties must be quantified, so that they can be priced, and insurance offered. The analysis of such risks at a portfolio level requires a simulation of up to 800 000 trials with an average of 1000 catastrophic events per trial. This is sufficient to capture risk for a global multi-peril reinsurance portfolio covering a range of perils including earthquake, hurricane, tornado, hail, severe thunderstorm, wind storm, storm surge and riverine flooding, and wildfire. Such simulations are both computation and data intensive, making the application of high-performance computing techniques desirable.

In this paper, we explore the design and implementation of portfolio risk analysis on both multi-core and many-core computing platforms. Given a portfolio of property catastrophe insurance treaties, key risk measures, such as probable maximum loss, are computed by taking both primary and secondary uncertainties into account. Primary uncertainty is associated with whether or not an event occurs in a simulated year, while secondary uncertainty captures the uncertainty in the level of loss due to the use of simplified physical models and limitations in the available data. A combination of fast lookup structures, multi-threading and careful hand tuning of numerical operations is required to achieve good performance. Experimental results are reported for multi-core processors and systems using NVIDIA graphics processing unit and Intel Phi many-core accelerators.