489 research outputs found
Category structure affects the developmental trajectory of children’s inductive inferences for both natural kinds and artefacts
Inductive reasoning is fundamental to human cognition, yet it remains unclear how we develop this ability and what might influence our inductive choices. We created novel categories in which crucial factors such as domain and category structure were manipulated orthogonally. We trained 403 4-9-year-old children to categorise well-matched natural kind and artefact stimuli with either featural or relational category structure, followed by induction tasks. This wide age range allowed for the first full exploration of the developmental trajectory of inductive reasoning in both domains. We found a gradual transition from perceptual to categorical induction with age. This pattern was stable across domains, but interestingly, children showed a category bias one year later for relational categories. We hypothesise that the ability to use category information in inductive reasoning develops gradually, but is delayed when children need to process and apply more complex category structures
Exemplar models and category specific effects
In recent years, there have been numerous reports of patients with brain damage who show selective identification or recognition deficits for objects from specific categories (see Forde, in press; Humphreys & Forde, 2000, for reviews). The most common deficit appears to be a selective impairment in the identification of living things, accompanied by relatively unimpaired recognition or identification of artificial or non-living objects. However, despite the large number of reported cases with category-specific processing deficits, there is still no agreement on the mechanisms that produce these deficits. It is not even clear whether all such cases can be understood in terms of a single process or mechanism, or whether categoryspecific deficits can be caused by a variety of different factors. In this chapter, we explore category-specific deficits from a theoretical viewpoint that evolved from recent research on perceptual categorization and identification. Although some efforts have been made to model category-specific deficits with connectionist models (e.g., Farah & McClelland, 1991; Humphreys, Lamote, & Lloyd-Jones, 1995), we are not aware of any attempts to apply classical models of categorization and identification1 to the neuropsychological data on category-specificity (with the exception of a study by Dixon, Bub, & Arguin, 1997, which will be discussed in detail later)
Delivering phonological and phonics training within whole-class teaching
Background: Early, intensive phonological awareness and phonics training is widely held to be beneficial for children with poor phonological awareness. However, most studies have delivered this training separately from children's normal whole-class reading lessons. Aims: We examined whether integrating this training into whole class, mixed-ability reading lessons could impact on children with poor phonological awareness, whilst also benefiting normally developing readers. Sample: Teachers delivered the training within a broad reading programme to whole classes of children from Reception to the end of Year 1 (N=251). A comparison group of children received standard teaching methods (N=213). Method: Children's literacy was assessed at the beginning of Reception, and then at the end of each year until 1 year post-intervention. Results: The strategy significantly impacted on reading performance for normally developing readers and those with poor phonological awareness, vastly reducing the incidence of reading difficulties from 20% in comparison schools to 5% in intervention schools. Conclusions: Phonological and phonics training is highly effective for children with poor phonological awareness, even when incorporated into whole-class teaching
Development of reasoning:behavioral evidence to support reinforcement over cognitive control accounts
Speed's theory makes two predictions for the development of analogical reasoning. Firstly, young children should not be able to reason analogically due to an undeveloped PFC neural network. Secondly, category knowledge enables the reinforcement of structural features over surface features, and thus the development of sophisticated, analogical, reasoning. We outline existing studies that support these predictions and highlight some critical remaining issues. Specifically, we argue that the development of inhibition must be directly compared alongside the development of reasoning strategies in order to support Speed's account
Developing the practice of educational psychologists through theory and research
Recent research in literacy acquisition has generated detailed programs for teaching phonological awareness. The current paper will address three issues that follow from this research. Firstly, much of the past research has been conducted under conditions that are divorced from the classroom. As a result, it is not known whether the suggested teaching strategies will lead to an increase in children’s attainments when integrated into a broad reading curriculum implemented by teachers in mainstream classrooms. Secondly, these phonological interventions have been designed either to prevent the occurrence of reading difficulties or to meet the needs of failing readers. Therefore, it is not known whether the same methods would advantage all children. Thirdly, teaching children to read takes a minimum of two to three academic years. We herefore need to develop a reading curriculum that can provide the progression and differentiation to meet a wide range of needs over several academic years. We report two studies that have addressed these issues through monitoring the impact of a reading curriculum, implemented by teachers, which integrated children’s acquisition of phonological skills with broader aspects of teaching reading over three academic years. The attainments of children at all levels of ability in the experimental group were raised relative to controls, and importantly, these gains were maintained after the intervention was withdrawn. These results demonstrate that phonological awareness training can be successfully integrated into real classroom contexts and that the same methods raised the attainments of normally developing children, as well as those at risk of reading failure
A peak-clustering method for MEG group analysis to minimise artefacts due to smoothness
Magnetoencephalography (MEG), a non-invasive technique for characterizing brain electrical activity, is gaining popularity as a tool for assessing group-level differences between experimental conditions. One method for assessing task-condition effects involves beamforming, where a weighted sum of field measurements is used to tune activity on a voxel-by-voxel basis. However, this method has been shown to produce inhomogeneous smoothness differences as a function of signal-to-noise across a volumetric image, which can then produce false positives at the group level. Here we describe a novel method for group-level analysis with MEG beamformer images that utilizes the peak locations within each participant's volumetric image to assess group-level effects. We compared our peak-clustering algorithm with SnPM using simulated data. We found that our method was immune to artefactual group effects that can arise as a result of inhomogeneous smoothness differences across a volumetric image. We also used our peak-clustering algorithm on experimental data and found that regions were identified that corresponded with task-related regions identified in the literature. These findings suggest that our technique is a robust method for group-level analysis with MEG beamformer images
Auditory frequency discrimination in developmental dyslexia: a meta-analysis
Auditory frequency discrimination has been used as an index of sensory processing in developmental language disorders such as dyslexia, where group differences have often been interpreted as evidence for a basic deficit in auditory processing that underpins and constrains individual variability in the development of phonological skills. Here, we conducted a meta-analysis to evaluate the cumulative evidence for group differences in frequency discrimination and to explore the impact of some potential moderator variables that could contribute to variability in effect-size estimations across studies. Our analyses revealed mean effect sizes for group differences on frequency discrimination tasks on the order of three-quarters of a standard deviation, but in the presence of substantial inter-study variability in their magnitude. Moderator variable analyses indicated that factors related both to participant variability on behavioural and cognitive variables associated with the dyslexia phenotype, and to variability in the task design, contributed to differences in the magnitude of effect size across studies. The apparently complex pattern of results was compounded by the lack of concurrent, standardised metrics of cognitive and reading component skills across the constituent studies. Differences on sensory processing tasks are often reported in studies of developmental disorders, but these need to be more carefully interpreted in the context of non-sensory factors, which may explain significant inter- and intra-group variance in the dependent measure of interest
We're going to the zoo:Interactive educational activities with animals boost category-based induction in children
We investigated whether category-based induction can be enhanced through educational activities with real-life animals. Four induction tasks involving pictures of real and novel biological kinds were administered to 252 children aged 5- to 7- years, split across two testing sessions. Between these two testing sessions, 129 of these children took part in a zoo-based educational activity where their attention was directed towards the importance of non-obvious category features. In the first testing session, older children made significantly more category inferences, consistent with developmental accounts of category-based induction. In the second testing session, there was a greater increase in category-based induction decisions made by children in the training condition. We suggest that category-based induction could be driven by an accumulation of category knowledge which leads to a deeper understanding of the importance of category features
On the Behaviour of General-Purpose Applications on Cloud Storages
Managing data over cloud infrastructures raises novel challenges with respect to existing and well studied approaches such as ACID and long running transactions. One of the main requirements is to provide availability and partition tolerance in a scenario with replicas and distributed control. This comes at the price of a weaker consistency, usually called eventual consistency. These weak memory models have proved to be suitable in a number of scenarios, such as the analysis of large data with Map-Reduce. However, due to the widespread availability of cloud infrastructures, weak storages are used not only by specialised applications but also by general purpose applications. We provide a formal approach, based on process calculi, to reason about the behaviour of programs that rely on cloud stores. For instance, one can check that the composition of a process with a cloud store ensures `strong' properties through a wise usage of asynchronous message-passing
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