820 resultados para Teachers -Training of


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"April 1996."

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Intercultural competence (IC) as an essential part of conceptualization of the cultural dimension in FLT has been promoted by educationalists as the most preferred type of competence. One of the challenges of incorporating IC into FLT is to move from the recognition of IC as a model of teaching (Byram, Nichols and Stevens, 2001) to the development of practical applications. This can be due to the fact that teachers do not have sufficient knowledge of the theory behind the concept and consequently, have difficulties to implement the curriculum requirements with regards to IC into their teaching. The purpose of this study was to investigate how teachers of English in upper secondary schools in Sweden interpret the concept of IC and, accordingly, what is their view of culture in English language teaching. In order to answer the research question, I used an exploratory investigation by adopting a qualitative research method in form of semi-structured interviews. The results are similar to the previous studies (Lundgren, 2002; Larzén, 2005) and suggest that teachers lack theoretical background and central guidance with regards to IC and do not always integrate language and culture into an intercultural model of the English language pedagogy.

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In this study, perceptions of learning disabilities were obtained from 128 principals and 123 teachers in the Nara Prefecture, Japan. A factor analysis indicated that five factors underlie perceptions of learning disabilities: changes in the family and social situation, insufficient knowledge of and support for learning disabilities, teachers' abilities and professional development, teachers' situation and governmental issues. Teachers' situation was perceived to be the main factor, whereas the least important factor was governmental issues. Teachers mainly indicated agreement on the factor of insufficient knowledge of and support for students with learning disabilities. Principals were more aware of governmental issues than teachers.

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In young adults, improvements in the rate of force development as a result of resistance training are accompanied by increases in neural drive in the very initial phase of muscle activation. The purpose of this experiment was to determine if older adults also exhibit similar adaptations in response to rate of force development (RFD) training. Eight young (21-35 years) and eight older (60-79 years) adults were assessed during the production of maximum rapid contractions, before and after four weeks of progressive resistance training for the elbow flexors. Young and older adults exhibited significant increases (P< 0.01) in peak RFD, of 25.6% and 28.6% respectively. For both groups the increase in RFD was accompanied by an increase in the root mean square (RMS) amplitude and in the rate of rise (RER) in the electromyogram (EMG) throughout the initial 100 ms of activation. For older adults, however, this training response was only apparent in the brachialis and brachioradialis muscles. This response was not observed in surface EMG recorded from the biceps brachii muscle during either RFD testing or throughout training, nor was it observed in the pronator teres muscle. The minimal adaptations observed for older adults in the bifunctional muscles biceps brachii and pronator teres are considered to indicate a compromise of the neural adaptations older adults might experience in response to resistance training.

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The aim of this small-scale research was to gain some understanding of Bangladeshi English language teachers' language preference for publication purposes & the extent of the use of Bangla (Bengali), the L1, in their professional practice. Qualitative data for the study were gathered by means of a self-produced questionnaire. Results show that about three-quarters of the teachers published or would publish entirely in English because they believed that it was, among other reasons, the usual professional practice. More importantly, a number of teachers stated that they felt more comfortable writing academic essays in English. Regarding the use of L1, all 37 respondents pointed out that they used it sparingly in the classroom, & only a small number considered it a barrier in learning English, the L2. While emphasising the study's limitations, the paper suggests that English teachers' lack of confidence in L1 academic writing may be seen as indicating the potential direction of a slowly emerging individual bilingualism among university teachers of English. However, the paper also argues that the emergence of this potential bilingualism can be seen only at the individual rather than societal level, &, within the academic context, only in the limited domain of academic writing. Figures, References. Adapted from the source document

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Attractor properties of a popular discrete-time neural network model are illustrated through numerical simulations. The most complex dynamics is found to occur within particular ranges of parameters controlling the symmetry and magnitude of the weight matrix. A small network model is observed to produce fixed points, limit cycles, mode-locking, the Ruelle-Takens route to chaos, and the period-doubling route to chaos. Training algorithms for tuning this dynamical behaviour are discussed. Training can be an easy or difficult task, depending whether the problem requires the use of temporal information distributed over long time intervals. Such problems require training algorithms which can handle hidden nodes. The most prominent of these algorithms, back propagation through time, solves the temporal credit assignment problem in a way which can work only if the relevant information is distributed locally in time. The Moving Targets algorithm works for the more general case, but is computationally intensive, and prone to local minima.

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Radial Basis Function networks with linear outputs are often used in regression problems because they can be substantially faster to train than Multi-layer Perceptrons. For classification problems, the use of linear outputs is less appropriate as the outputs are not guaranteed to represent probabilities. We show how RBFs with logistic and softmax outputs can be trained efficiently using the Fisher scoring algorithm. This approach can be used with any model which consists of a generalised linear output function applied to a model which is linear in its parameters. We compare this approach with standard non-linear optimisation algorithms on a number of datasets.

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Mixture Density Networks (MDNs) are a well-established method for modelling the conditional probability density which is useful for complex multi-valued functions where regression methods (such as MLPs) fail. In this paper we extend earlier research of a regularisation method for a special case of MDNs to the general case using evidence based regularisation and we show how the Hessian of the MDN error function can be evaluated using R-propagation. The method is tested on two data sets and compared with early stopping.