Development of mathematical pathways for vet students to articulate to related higher education courses

Australia needs more qualified professionals in the areas of engineering, education, health and other sciences. The national focus on widening participation in higher education (HE) includes strengthening pathways from vocational education and training (VET). VET students often lack the mathematics skills necessary to articulate successfully to their chosen degrees. Current approaches such as bridging and foundation mathematics programs, and university in-degree support, are fragmented and not tailored or sufficiently contextualised for VET articulants. Flexible approaches are needed that enable institutions to assess the numeracy skills of VET articulants and provide resources and support to build their mathematical skills and confidence. This project is developing a series of mathematics pathways designed to improve the readiness of VET qualified students for higher education study in the areas of engineering, education and health science. Year 1 of this project focuses on engineering and education. The main VET qualifications and HE education courses have been identified and mapping the mathematical gap in knowledge between the two is underway. Mathematical pathways will be delivered as Open Education Resources and designed to be delivered flexibly. This presentation will review the progress on the mathematical pathway development and review the gaps that exist between the two sectors

25th annual computational neuroscience meeting: CNS-2016

The same neuron may play different functional roles in the neural circuits to which it belongs. For example, neurons in the Tritonia pedal ganglia may participate in variable phases of the swim motor rhythms [1]. While such neuronal functional variability is likely to play a major role the delivery of the functionality of neural systems, it is difficult to study it in most nervous systems. We work on the pyloric rhythm network of the crustacean stomatogastric ganglion (STG) [2]. Typically network models of the STG treat neurons of the same functional type as a single model neuron (e.g. PD neurons), assuming the same conductance parameters for these neurons and implying their synchronous firing [3, 4]. However, simultaneous recording of PD neurons shows differences between the timings of spikes of these neurons. This may indicate functional variability of these neurons. Here we modelled separately the two PD neurons of the STG in a multi-neuron model of the pyloric network. Our neuron models comply with known correlations between conductance parameters of ionic currents. Our results reproduce the experimental finding of increasing spike time distance between spikes originating from the two model PD neurons during their synchronised burst phase. The PD neuron with the larger calcium conductance generates its spikes before the other PD neuron. Larger potassium conductance values in the follower neuron imply longer delays between spikes, see Fig. 17.Neuromodulators change the conductance parameters of neurons and maintain the ratios of these parameters [5]. Our results show that such changes may shift the individual contribution of two PD neurons to the PD-phase of the pyloric rhythm altering their functionality within this rhythm. Our work paves the way towards an accessible experimental and computational framework for the analysis of the mechanisms and impact of functional variability of neurons within the neural circuits to which they belong