Key Skills: making connections between HE and the workplace

This paper draws on a recent research project into high-level key skills links between HE and employment. The project has worked with groups in several universities and companies to explore how the developmental model embedded in the QCA key skills national standards can be used to support learning and assessment of higher level (QCA levels 4 and 5) key skills. Employers increasingly value skills such as teamworking, communicating effectively with partners and customers, and being able to adapt to new situations and develop new capabilities. Within organisations individuals may be expected to move from project to project and job to job. They may be expected to identify their own particular training needs, work within the company business goals and develop their own individual skills portfolio to satisfy professional recognition requirements. HE currently appears to offer relatively little support or training to develop the key skills needed in such environments. As part of the project students in HE have used a framework of planning, monitoring progress, presenting outcomes and reviewing progress to develop their skills. The model encourages learners to recognise and articulate their own capabilities more clearly, and offers an assessment structure for profiling achievement. It is this 'meta-skills' approach that is used to bridge the gap between HE and employment by encouraging learners to be actively aware of the context in which they are currently situated, and to make connections with experience, skills and knowledge they have gained elsewhere. The paper presents some preliminary findings and comments from the project

Learning outcomes and their assessment: putting Open University pedagogical practice under the microscope

The Open University (OU) is the United Kingdom's only university devoted to distance learning. It is also the UK's largest university with over 200,000 students overall. Around 150,000 students are studying undergraduate level courses. Over the last decade major policy changes have impacted on UK higher education. Following the recommendations of the National Committee of Inquiry into Higher Education (Dearing Report, 1997) and the establishment of the Quality Assurance Agency, all UK universities have been required to define learning outcomes for their programmes and link learning outcomes to teaching and assessment. This major pedagogic shift led the OU to establish the Learning Outcomes and their Assessment (LOTA) project to re-examine the ways its courses are planned, designed, delivered and assessed, and to initiate necessary institution-wide changes. Explicitly linking outcomes, assessment and teaching, actively using assessment for learning, and supporting academic staff development are key elements in enhancing student learning

Convolutional Drift Networks for Video Classification

Analyzing spatio-temporal data like video is a challenging task that requires processing visual and temporal information effectively. Convolutional Neural Networks have shown promise as baseline fixed feature extractors through transfer learning, a technique that helps minimize the training cost on visual information. Temporal information is often handled using hand-crafted features or Recurrent Neural Networks, but this can be overly specific or prohibitively complex. Building a fully trainable system that can efficiently analyze spatio-temporal data without hand-crafted features or complex training is an open challenge. We present a new neural network architecture to address this challenge, the Convolutional Drift Network (CDN). Our CDN architecture combines the visual feature extraction power of deep Convolutional Neural Networks with the intrinsically efficient temporal processing provided by Reservoir Computing. In this introductory paper on the CDN, we provide a very simple baseline implementation tested on two egocentric (first-person) video activity datasets.We achieve video-level activity classification results on-par with state-of-the art methods. Notably, performance on this complex spatio-temporal task was produced by only training a single feed-forward layer in the CDN.Comment: Published in IEEE Rebooting Computin

Bioreactor scalability: laboratory-scale bioreactor design influences performance, ecology, and community physiology in expanded granular sludge bed bioreactors

Studies investigating the feasibility of new, or improved, biotechnologies, such as wastewater treatment digesters, inevitably start with laboratory-scale trials. However, it is rarely determined whether laboratory-scale results reflect full-scale performance or microbial ecology. The Expanded Granular Sludge Bed (EGSB) bioreactor, which is a high-rate anaerobic digester configuration, was used as a model to address that knowledge gap in this study. Two laboratory-scale idealizations of the EGSB—a one-dimensional and a three- dimensional scale-down of a full-scale design—were built and operated in triplicate under near-identical conditions to a full-scale EGSB. The laboratory-scale bioreactors were seeded using biomass obtained from the full-scale bioreactor, and, spent water from the distillation of whisky from maize was applied as substrate at both scales. Over 70 days, bioreactor performance, microbial ecology, and microbial community physiology were monitored at various depths in the sludge-beds using 16S rRNA gene sequencing (V4 region), specific methanogenic activity (SMA) assays, and a range of physical and chemical monitoring methods. SMA assays indicated dominance of the hydrogenotrophic pathway at full-scale whilst a more balanced activity profile developed during the laboratory-scale trials. At each scale, Methanobacterium was the dominant methanogenic genus present. Bioreactor performance overall was better at laboratory-scale than full-scale. We observed that bioreactor design at laboratory-scale significantly influenced spatial distribution of microbial community physiology and taxonomy in the bioreactor sludge-bed, with 1-D bioreactor types promoting stratification of each. In the 1-D laboratory bioreactors, increased abundance of Firmicutes was associated with both granule position in the sludge bed and increased activity against acetate and ethanol as substrates. We further observed that stratification in the sludge-bed in 1-D laboratory-scale bioreactors was associated with increased richness in the underlying microbial community at species (OTU) level and improved overall performance

Valuing Rigor in the Risk Management Process

NASA, as an organization, takes risk management (RM) seriously, and for most projects, the risk management process is exemplar. There can be challenges, though, with defining RM processes. For example, many different risk analysis methodologies are available, they can be applied with varying degrees of rigor, and they can have different value depending on how projects use them. In particular, risk analysis methodologies vary considerably in the level of quantitative detail, with more probabilistic techniques encouraged in some situations. We discussed these processes and methodologies with ten project managers (PM) at the NASA Goddard Space Flight Center (GSFC). Our intent was not to prove with some level of statistical significance that some are more helpful than others, but rather to obtain a general understanding of how projects are identifying, and thinking, about risks. This paper describes some of the available risk processes and methodologies, and provides some insights about the benefits that can gained from their use. We provide an in-depth discussion of one quantitative methodology, Probabilistic Risk Assessments (PRAs), and conclude with a few insights from observed best practices

Swimming with ShARCS: Comparison of On-sky Sensitivity With Model Predictions for ShaneAO on the Lick Observatory 3-meter Telescope

The Lick Observatory's Shane 3-meter telescope has been upgraded with a new infrared instrument (ShARCS - Shane Adaptive optics infraRed Camera and Spectrograph) and dual-deformable mirror adaptive optics (AO) system (ShaneAO). We present first-light measurements of imaging sensitivity in the Ks band. We compare measured results to predicted signal-to-noise ratio and magnitude limits from modeling the emissivity and throughput of ShaneAO and ShARCS. The model was validated by comparing its results to the Keck telescope adaptive optics system model and then by estimating the sky background and limiting magnitudes for IRCAL, the previous infra-red detector on the Shane telescope, and comparing to measured, published results. We predict that the ShaneAO system will measure lower sky backgrounds and achieve 20\% higher throughput across the $JHK$ bands despite having more optical surfaces than the current system. It will enable imaging of fainter objects (by 1-2 magnitudes) and will be faster to reach a fiducial signal-to-noise ratio by a factor of 10-13. We highlight the improvements in performance over the previous AO system and its camera, IRCAL.Comment: 13 pages, 5 figures, SPIE Astronomical Telescopes + Instrumentation, Montreal 201

Design and Cold Test of A Metamaterial Accelerating Structure for Two-Beam Acceleration

Structure-based wakefield acceleration (SWFA) is an advanced accelerator concept that can achieve higher accelerating gradients than conventional accelerators. Advanced structures are required for SWFA, with metamaterial (MTM) structures as a promising candidate. MTMs are periodic sub-wavelength structures engineered to exhibit exotic electromagnetic properties, such as simultaneously negative permittivity and permeability. Because of their unique electromagnetic properties, MTMs are particularly interesting to SWFA. Previous studies at the Argonne Wakefield Accelerator have demonstrated efficient wakefield power extraction using MTM structures. This thesis presents the design, fabrication, and cold test of an X-band MTM accelerating structure for two-beam acceleration. An MTM structure was designed and optimized for operation at high gradients when it is excited by a short RF pulse with a pulse length of 6~ns. Cold test of the fabricated MTM structure shows good agreement with simulation results. A beam test was designed and carried out at the Argonne Wakefield Accelerator to study phenomena associated with short-pulse RF breakdown physics, where short-pulse acceleration has been proven beneficial for gradient improvement