32 research outputs found

    Supporting Advanced Multilingual Speakers as Individuals

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    Translanguaging is a concept that is increasingly used in multilingualism studies with disparate definitions and uses in the literature. In this chapter, students who are advanced multilingual speakers at home, school, and elsewhere are in focus. The chapter examines historical and contemporary definitions of translanguaging and shows that not all definitions view the literacy practices of advanced multilingual speakers as translanguaging. However, those that see these speakers as having a unitary linguistic system allow the literacy practices of advanced multilingual speakers to be viewed as translanguaging. Working from this perspective, the chapter argues for translanguaging writing spaces to be created in schools as a way to foster learning. The chapter also presents ways in which teachers can support the creation of these spaces in multilingual classrooms and considers how translanguaging writing spaces can be maintained when advanced multilingual speakers move to writing for monolingual readers. The challenge of this move is also discussed.</p

    A study proposing a data model for a dementia care mapping (DCM) data warehouse for potential secondary uses of dementia care data

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    NoCopying or distributing in print or electronic forms without written permission of IGI Global is prohibited. There is growing emphasis on sharing and reusing dementia care-related datasets to improve the quality of dementia care. Consequently, there is a need to develop data management solutions for collecting, integrating and storing these data in formats that enhance opportunities for reuse. Dementia Care Mapping (DCM) is an observational tool that is in widespread use internationally. It produces rich, evidence-based data on dementia care quality. Currently, that data is primarily used locally, within dementia care services, to assess and improve quality of care. Information-rich DCM data provides opportunities for secondary use including research into improving the quality of dementia care. But an effective data management solution is required to facilitate this. A rationale for the warehousing of DCM data as a technical data management solution is suggested. The authors also propose a data model for a DCM data warehouse and present user-identified challenges for reusing DCM data within a warehouse
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