770 research outputs found

    Continuous assessment for tertiary-level language teaching: an aid for learners to monitor their progress?

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    In 2004, based on the findings of scholarlyenquiry, the French Section of theUniversity of Cape Town decided to prioritise continuous assessment to measurelanguage acquisition, partly with a view to enabling students to monitor their progressmore effectively. In a spirit of quality control (De Ketele, 2003), the purpose of thisarticle is to review that decision. Firstly, by way of context, attention is given to some ofthe scholarship pertinent to summative and formative assessment which underpinnedthe adoption of continuous assessment. Secondly, the article interrogates the notionthat continuous assessment facilitates learner awareness of progress by presenting andexamining the reactions of undergraduate students of French at the University of CapeTown over the last three years.Key words: continuous assessment, formative, summative, language, acquisition,examinations-only, learner progres

    The Bayesian Decision Tree Technique with a Sweeping Strategy

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    The uncertainty of classification outcomes is of crucial importance for many safety critical applications including, for example, medical diagnostics. In such applications the uncertainty of classification can be reliably estimated within a Bayesian model averaging technique that allows the use of prior information. Decision Tree (DT) classification models used within such a technique gives experts additional information by making this classification scheme observable. The use of the Markov Chain Monte Carlo (MCMC) methodology of stochastic sampling makes the Bayesian DT technique feasible to perform. However, in practice, the MCMC technique may become stuck in a particular DT which is far away from a region with a maximal posterior. Sampling such DTs causes bias in the posterior estimates, and as a result the evaluation of classification uncertainty may be incorrect. In a particular case, the negative effect of such sampling may be reduced by giving additional prior information on the shape of DTs. In this paper we describe a new approach based on sweeping the DTs without additional priors on the favorite shape of DTs. The performances of Bayesian DT techniques with the standard and sweeping strategies are compared on a synthetic data as well as on real datasets. Quantitatively evaluating the uncertainty in terms of entropy of class posterior probabilities, we found that the sweeping strategy is superior to the standard strategy

    Coexistence and critical behaviour in a lattice model of competing species

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    In the present paper we study a lattice model of two species competing for the same resources. Monte Carlo simulations for d=1, 2, and 3 show that when resources are easily available both species coexist. However, when the supply of resources is on an intermediate level, the species with slower metabolism becomes extinct. On the other hand, when resources are scarce it is the species with faster metabolism that becomes extinct. The range of coexistence of the two species increases with dimension. We suggest that our model might describe some aspects of the competition between normal and tumor cells. With such an interpretation, examples of tumor remission, recurrence and of different morphologies are presented. In the d=1 and d=2 models, we analyse the nature of phase transitions: they are either discontinuous or belong to the directed-percolation universality class, and in some cases they have an active subcritical phase. In the d=2 case, one of the transitions seems to be characterized by critical exponents different than directed-percolation ones, but this transition could be also weakly discontinuous. In the d=3 version, Monte Carlo simulations are in a good agreement with the solution of the mean-field approximation. This approximation predicts that oscillatory behaviour occurs in the present model, but only for d>2. For d>=2, a steady state depends on the initial configuration in some cases.Comment: 11 pages, 14 figure

    Phytoseiulus persimilis (Acarina: Phytoseiidae) for control of two-spotted mites in a commercial greenhouse

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    Natural infestations of the two-spotted spider mite were controlled on green house cucumber by early releases of the predatory mite, Phytoseiulus persimilis Athias-Henriot. Later sporadic mite outbreaks severely damaged some plants and required frequent surveys and repeated predator releases in the greenhouse. However, no mite sprays were required and crop yield was satisfactory

    Optimising decision trees using multi-objective particle swarm optimisation

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    Copyright © 2009 Springer-Verlag Berlin Heidelberg. The final publication is available at link.springer.comBook title: Swarm Intelligence for Multi-objective Problems in Data MiningSummary. Although conceptually quite simple, decision trees are still among the most popular classifiers applied to real-world problems. Their popularity is due to a number of factors – core among these is their ease of comprehension, robust performance and fast data processing capabilities. Additionally feature selection is implicit within the decision tree structure. This chapter introduces the basic ideas behind decision trees, focusing on decision trees which only consider a rule relating to a single feature at a node (therefore making recursive axis-parallel slices in feature space to form their classification boundaries). The use of particle swarm optimization (PSO) to train near optimal decision trees is discussed, and PSO is applied both in a single objective formulation (minimizing misclassification cost), and multi-objective formulation (trading off misclassification rates across classes). Empirical results are presented on popular classification data sets from the well-known UCI machine learning repository, and PSO is demonstrated as being fully capable of acting as an optimizer for trees on these problems. Results additionally support the argument that multi-objectification of a problem can improve uni-objective search in classification problems

    Basin structure in the two-dimensional dissipative circle map

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    Fractal basin structure in the two-dimensional dissipative circle map is examined in detail. Numerically obtained basin appears to be riddling in the parameter region where two periodic orbits co-exist near a boundary crisis, but it is shown to consist of layers of thin bands.Comment: published in J. Phys. Soc. Jpn., 72, 1943-1947 (2003

    Anomalous asymmetry of magnetoresistance in NbSe3_3 single crystals

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    A pronounced asymmetry of magnetoresistance with respect to the magnetic field direction is observed for NbSe3_3 crystals placed in a magnetic field perpendicular to their conducting planes. It is shown that the effect persists in a wide temperature range and manifests itself starting from a certain magnetic induction value B0B_0, which at T=4.2T=4.2 K corresponds to the transition to the quantum limit, i.to the state where the Landay level splitting exceeds the temperature.Comment: 4 pages, 6 figures, to be appeared in JETP Let

    Setting a precautionary catch limit for Antarctic krill

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    A revised precautionary catch limit for Antarctic krill (Euphausia superba) in the Scotia Sea of 4 million tons was recently adopted by the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR). The limit was based on a total biomass of 44.3 million tons, as estimated from an acoustic and net survey of krill across the Scotia Sea sector of the Southern Ocean, and a harvest rate of 9.1%, as determined from an analysis of the risks of exceeding defined conservation criteria. We caution, however, that before the fishery can expand to the 4-inillion-ton level it will be necessary to establish mechanisms to avoid concentration of fishing effort, particularly in proximity to colonies of land-breeding krill predators, and to consider the effects of krill immigrating into the region from multiple sources

    Efficacy of insecticides against geometrid larvae, Operophtera spp., on southern Vancouver Island, British Columbia

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    Permethrin, acephate, diazinon, malathion, endosulfan , methoxychlor , Imidan, naled and a spray containing surfactant only were the most effective treatments for control of winter moth, Operophtera brumata (L. ), and Bruce spanworm, O. bruceata (Hulst), on apple in the tight cluster bud stage. Resmethrin, trichlorfon, and Dipel and Thuricide formulations of Bacillus thuringiensis were less effective. The growth disruptor, Dimilin, provided good control at the pink bud stage. At this same stage, sprays with surfactant only were no better than untreated controls
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