968 resultados para Teacher-speech therapist partnership


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Schools in Queensland, Australia, are undergoing inclusive education reform, following the report of the Ministerial Taskforce on Inclusive Education (Students with Disabilities) in 2004. The State government’s responses to the taskforce report emphasise a commitment to social justice and equity so that all students can be included in ways that enable them to achieve their potential. Teacher aides are employed in schools as ancillary staff to support students with disabilities and learning difficulties. Their support roles in schools are emerging within an educational context in which assumptions about disability, difference and inclusion of students with disabilities and learning difficulties are changing. It is important to acknowledge teacher aides as support practitioners, and to understand their roles in relation to the inclusion of students with disabilities and learning difficulties as inclusive education reform continues. This study used a phenomenological approach to explore the lived experiences of teacher aides as they supported students with disabilities and learning difficulties in primary schools. Four key insights into the support roles of teacher aides in primary schools in Brisbane, Queensland emerged from the study: 1) teacher aides develop empathetic relationships with students that contribute significantly to the students’ sense of belonging within school communities; 2) lack of clear definition of roles and responsibilities for teacher aides has detrimental effects on inclusion of students; 3) collaborative planning and implementation of classroom learning and socialisation programs enhances inclusion; and 4) teacher aides learn about supporting students while on-the-job, and in consultation and collaboration with other members of the students’ support networks.

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Speech recognition in car environments has been identified as a valuable means for reducing driver distraction when operating non-critical in-car systems. Likelihood-maximising (LIMA) frameworks optimise speech enhancement algorithms based on recognised state sequences rather than traditional signal-level criteria such as maximising signal-to-noise ratio. Previously presented LIMA frameworks require calibration utterances to generate optimised enhancement parameters which are used for all subsequent utterances. Sub-optimal recognition performance occurs in noise conditions which are significantly different from that present during the calibration session - a serious problem in rapidly changing noise environments. We propose a dialog-based design which allows regular optimisation iterations in order to track the changing noise conditions. Experiments using Mel-filterbank spectral subtraction are performed to determine the optimisation requirements for vehicular environments and show that minimal optimisation assists real-time operation with improved speech recognition accuracy. It is also shown that the proposed design is able to provide improved recognition performance over frameworks incorporating a calibration session.

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In this chapter, John Howard’s policy speech to The Sydney Institute, a conservative think tank, on October 11, 2007 as the Australian Prime Minister of the day, is analysed within the frame of discourse analysis to make visible how the speech works in old ways to dress up neoliberal policy as new and reformist. Taking centre stage, Howard pointed to concrete steps undertaken to achieve what he called a “new reconciliation.” This cynical manoeuvre, which put reconciliation back onto the election agenda (after it was earlier derided for its divisive and muddle headed symbolism), constituted a “neoliberal quickstep” (Reiger, 2006) or quickfix of sorts. The speech was also used as a place to reintroduce the Northern Territory Intervention, which at the time was purported to be a response to child abuse and Indigenous community dysfunction.