117 resultados para Noisy rational expectations


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Most practitioners teaching English to speakers of other languages (TESOL) will agree that students come with some expectations about course content and teaching methodology and that these expectations play a vital role in student motivation and learning. However, the study of student expectations has been a surprising omission from Second Language Acquisition research. In the studies reported here, the authors develop a model of student expectations by adapting the Expectation Disconfirmation paradigm, widely used in consumer psychology. Student and teacher perspectives on student expectations were gathered by interviews. Responses shed light on the nature of expectations, factors causing expectations and effects of expectation fulfilment (or lack of it). The findings provide new avenues for research on affective factors as well as clarify some ambiguities in motivational research in second language acquisition. The model presented here can be used by teachers or institutions to conduct classroom-based research, thus optimising students' learning and performance, and enhancing student morale.

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We surveyed all nurses working at a tertiary paediatric hospital (except casual staff and those who were on leave) from 27 hospital departments. A total of 365 questionnaires were distributed. There were 40 questions in six sections: demographic details, knowledge of e-health, relevance of e-health to nursing profession, computing skills, Internet use and access to e-health education. A total of 253 surveys were completed (69%). Most respondents reported that that they had never had e-health education of any sort (87%) and their e-health knowledge and skills were low (71%). However, 11% of nurses reported some exposure to e-health through their work. Over half (56%) of respondents indicated that e-health was important, very important or critical for health professions while 26% were not sure. The lack of education and training was considered by most respondents (71%) to be the main barrier to adopting e-health. While nurses seemed to have moderate awareness of the potential benefits of e-health, their practical skills and knowledge of the topic were very limited.

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We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation of genetic networks is based on a biochemical reaction model including key elements such as transcription, translation and post-translational modifications. The stochastic, reaction-based GP system is similar but not identical with algorithmic chemistries. We evolved genetic networks with noisy oscillatory dynamics. The results show the practicality of evolving particular dynamics in gene regulatory networks when modelled with intrinsic noise.