Contextual effects on a well learned task: Isolated or broad?

Skill transfer is a fundamental feature in the domain of skill acquisition, however different theories present conflicting ideas regarding prediction of transfer. Anderson\u27s (1982) Adaptive Control of Thought theory posits that the amount of transfer is proportional to the number of shared productions. Logan\u27s (1988) Instance theory in contrast, posits that complete transfer will only occur on tasks which have been experienced before. However, work by Speelman and Kirsner (1997), Speelman, Forbes and Giesen (2004) and Johnson (2005) have produced results that counter the implicit assumptions of these theories. More specifically a disruption from the predicted learning curve was found in situations where both Logan and Anderson would predict complete transfer. Such findings have implications on the theoretical nature of skill acquisition. However these findings involved data that was averaged over many trials, and as such a more specific trial by trial account of the underlying nature of this disruption is not known. The present study examined the role of skill acquisition and skill transfer in relation to both Anderson\u27s (1982) Adaptive Control of Thought theory and Logan\u27s (1988) instance theory. The study involved 59 participants being presented with multiplication problems from the six times table, followed by a distractor task in the form of an addition or subtraction question. The training phase consisted of 12 blocks of trials, with six trials per block. The multiplication problems remained constant in both the training and transfer phases, while participants receiving addition problems in training then received subtraction questions in transfer and vice versa. Only reaction times for the multiplication problems were analysed and the results showed that there was a significant disruption when the participants encountered the transfer phase. Further analysis on a trial by trial basis indicated that in the three trials following the contextual change, performance was significantly slower than the first trial of the transfer phase, discounting a fleeting \u27surprise\u27 effect. A power function fitted to the reaction times of the transfer trials following the context change supported the gradual return of performance to pre-transfer levels. The results contradicted both Anderson\u27s and Logan\u27s predictions, and suggest that with practise, a mental set is developed which can then be disrupted through contextual change

Developing a Work-based Software Engineering Degree in Collaboration with Industry

Work-based learning has been in practice in Software Engineering for some time, but only in recent years has it been introduced as a pathway to an honours-level undergraduate degree across the UK. Through the lens of one such scheme, the Graduate Apprenticeship programme in Scotland, we have investigated what challenges work-based learning degree programmes are likely to face and took this question to 26 industry partners. Also, since we are aware of a persistent skills gap between Software Engineering graduates and entry-level industry roles, we investigated the skills that Software Development teams are looking for in Scotland. This paper details our findings concerning perceived challenges to industry, the skills and knowledge to be imparted at university and the workplace learning opportunities which can be exploited by companies

Where Is Citizenship Education in the Age of Common Core State Standards?

There was a time in United States history when the central argument for investing in public education was to ensure that voters were sufficiently informed about the issues of the day to make wise decisions: education for self-governance. According to multiple sources, voter ignorance remains a serious concern and this may be a factor in why the political system in the United States is not more responsive to the needs and preferences of the electorate. Based on an analysis of political discourse and educational policy initiatives, this essay argues that democratic citizenship education has been sidelined by the focus on education for jobs and the economy and outlines what a serious focus on education for active democratic citizenship should entail

Error Analysis and Uncertainty Quantification for the Heterogeneous Transport Equation in Slab Geometry

We present an analysis of multilevel Monte Carlo techniques for the forward problem of uncertainty quantification for the radiative transport equation, when the coefficients ({\em cross-sections}) are heterogenous random fields. To do this, we first give a new error analysis for the combined spatial and angular discretisation in the deterministic case, with error estimates which are explicit in the coefficients (and allow for very low regularity and jumps). This detailed error analysis is done for the 1D space - 1D angle slab geometry case with classical diamond differencing. Under reasonable assumptions on the statistics of the coefficients, we then prove an error estimate for the random problem in a suitable Bochner space. Because the problem is not self-adjoint, stability can only be proved under a path-dependent mesh resolution condition. This means that, while the Bochner space error estimate is of order $\mathcal{O}(h^\eta)$ for some $\eta$, where $h$ is a (deterministically chosen) mesh diameter, smaller mesh sizes might be needed for some realisations. Under reasonable assumptions we show that the expected cost for computing a typical quantity of interest remains of the same order as for a single sample. This leads to rigorous complexity estimates for Monte Carlo and multilevel Monte Carlo: For particular linear solvers, the multilevel version gives up to two orders of magnitude improvement over Monte Carlo. We provide numerical results supporting the theory

Contributions of inshore and offshore sources of primary production to the foodweb, and the trophic connectivity between various habitats along a depth-gradient, in Sodwana Bay, Kwazulu-Natal, South Africa

Sodwana Bay, situated within the iSimangaliso Wetland Park, is ecologically important as it contains high-latitude corals and the most southerly known population of coelacanths. This thesis utilised stable isotope and lipid analyses to investigate the trophic ecology of the area, in particular, understanding the relative contribution of inshore and offshore primary production to consumers inhabiting intertidal and shallow subtidal, coral reef, deep reef, canyon head and pelagic habitats. Seaweeds, excluding certain species of red seaweeds with highly depleted carbon signatures, and phytoplankton, such as diatoms, were found to be the principal sources of primary production for all consumers. Offshore production was typified by dinoflagellates. Particulate organic matter (POM) was spatio-temporally variable. Three distinct productivity periods related to nutrient cycling were noted with enriched carbon signatures and higher organic matter loads associated with warmer water. Inshore primary production was an important source of carbon to consumers in all habitats with the exception of zooplankton that were more reliant on pelagic primary production. Benthic invertebrates reflected a gradient in the utilisation of inshore production, due to the reduced availability of this source further offshore. Consumers at the furthest sites offshore were found to include a substantial quantity of inshore-derived production in their diets. Fishes, which are more mobile, were found to incorporate a similar proportion of inshore production into their diets regardless of where they were collected from

Devising Work-based Learning Curricula With Apprentice Research Software Engineers

Work-based learning (WBL) is a delivery model that attempts to address the isolation of theory and practice by integrating them into a single programme. The concern is that through lack of experience and understanding, both universities and industry may devise `Frankenstein' curricula, harming individuals rather than helping them. This poster introduces a small project to support curricula development by proposing universities act as both the learning provider and workplace for apprentice Research Software Engineers (RSEs)

System using leo satellites for centimeter-level navigation

Disclosed herein is a system for rapidly resolving position with centimeter-level accuracy for a mobile or stationary receiver [4]. This is achieved by estimating a set of parameters that are related to the integer cycle ambiguities which arise in tracking the carrier phase of satellite downlinks [5,6]. In the preferred embodiment, the technique involves a navigation receiver [4] simultaneously tracking transmissions [6] from Low Earth Orbit Satellites (LEOS) [2] together with transmissions [5] from GPS navigation satellites [1]. The rapid change in the line-of-sight vectors from the receiver [4] to the LEO signal sources [2], due to the orbital motion of the LEOS, enables the resolution with integrity of the integer cycle ambiguities of the GPS signals [5] as well as parameters related to the integer cycle ambiguity on the LEOS signals [6]. These parameters, once identified, enable real-time centimeter-level positioning of the receiver [4]. In order to achieve high-precision position estimates without the use of specialized electronics such as atomic clocks, the technique accounts for instabilities in the crystal oscillators driving the satellite transmitters, as well as those in the reference [3] and user [4] receivers. In addition, the algorithm accommodates as well as to LEOS that receive signals from ground-based transmitters, then re-transmit frequency-converted signals to the ground

Application of the adjoint approach to optimise the initial conditions of a turbidity current with the AdjointTurbidity 1.0 model

Turbidity currents are one of the main drivers of sediment transport from the continental shelf to the deep ocean. The resulting sediment deposits can reach hundreds of kilometres into the ocean. Computer models that simulate turbidity currents and the resulting sediment deposit can help us to understand their general behaviour. However, in order to recreate real-world scenarios, the challenge is to find the turbidity current parameters that reproduce the observations of sediment deposits. This paper demonstrates a solution to the inverse sediment transportation problem: for a known sedimentary deposit, the developed model reconstructs details about the turbidity current that produced the deposit. The reconstruction is constrained here by a shallow water sediment-laden density current model, which is discretised by the finite-element method and an adaptive time-stepping scheme. The model is differentiated using the adjoint approach, and an efficient gradient-based optimisation method is applied to identify the turbidity parameters which minimise the misfit between the modelled and the observed field sediment deposits. The capabilities of this approach are demonstrated using measurements taken in the Miocene Marnoso-arenacea Formation (Italy). We find that whilst the model cannot match the deposit exactly due to limitations in the physical processes simulated, it provides valuable insights into the depositional processes and represents a significant advance in our toolset for interpreting turbidity current deposits