109 resultados para 380200 Linguistics


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In much the same way that a squirrel stores a range of food in a range of places, the Australian Curriculum, Assessment and Reporting Authority’s (ACARA) Australian Curriculum: English (ACARA, 2015) stores references to grammar in a range of places. This paper explores some seemingly ‘hidden’ grammars within the AC:E to (re)discover their genesis and how they unfold across Foundation to Year 6. The first ‘Secret Squirrel’ moment centres on the introduction of a new grammar which weaves traditional Latin-based and Systemic Functional Linguistics (SFL) theory. The second ‘Secret Squirrel’ moment centres on the use of one sub-system of SFL Theory, the System of Appraisal, and its potential to provide an analytical lens for ‘reading’ the interpersonal meaning within narratives. The remainder of the paper draws on Goodson’s (1990) notion of curriculum as a social construction, paying attention to the levels of processes and (potential) practice. This part of the paper focuses on the System of Appraisal as it is introduced in the AC:E and then translates the Content Descriptions to an example analysis. One stimulus text, Melanie Watt’s (2012) children’s picture book ‘Scaredy Squirrel at the Beach’, is introduced then analysed using the System of Appraisal as an analytical lens for identifying how language choices ‘go to work’ (Macken-Horarik, 2003, p. 285) on readers, that is how Watt’s language choices are crafted so a ‘compliant’ child reader (Martin & White, 2005, p. 62) has the opportunity to ‘feel with’ and thus ‘adjudicate’ the behaviour of characters in particular ways (Macken-Horarik, 2003, p. 285).

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Bringing a social interaction approach to children’s geographies to investigate how children accomplish place in everyday lives, we draw on ethnomethodological and conversation analytic approaches that recognize children’s competence to manipulate their social and digital worlds. An investigation of preschool-aged children engaged with Google Earth™ shows how they both claimed and displayed technological understandings and practices such as maneuvering the mouse and screen, and referenced place through relationships with local landmarks and familiar settings such as their school. At times, the children’s competing agendas required orientation to each other’s ideas, and shared negotiation to come to resolution. A focus on children’s use of digital technologies as they make meaning of the world around them makes possible new understandings of place within the geographies of childhood and education.

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Critical Discourse Analysis (CDA) is an approach to analysing the discourses that operate in social contexts, such as classrooms in schools, and their material effects on people, such as teachers and learners. CDA offers a range of ways of engaging with the relationship between texts in context and the power they exercise. In this article, I overview key approaches and provide detail of Fairclough’s (1992, 2003) textually-oriented, linguistic method of CDA, with an example from my own research. I offer a challenge for English teachers, as researchers, to ‘make strange’ the familiar world of their classroom work, and in so doing, identify possibilities for productive change.

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This article presents and evaluates Quantum Inspired models of Target Activation using Cued-Target Recall Memory Modelling over multiple sources of Free Association data. Two components were evaluated: Whether Quantum Inspired models of Target Activation would provide a better framework than their classical psychological counterparts and how robust these models are across the different sources of Free Association data. In previous work, a formal model of cued-target recall did not exist and as such Target Activation was unable to be assessed directly. Further to that, the data source used was suspected of suffering from temporal and geographical bias. As a consequence, Target Activation was measured against cued-target recall data as an approximation of performance. Since then, a formal model of cued-target recall (PIER3) has been developed [10] with alternative sources of data also becoming available. This allowed us to directly model target activation in cued-target recall with human cued-target recall pairs and use multiply sources of Free Association Data. Featural Characteristics known to be important to Target Activation were measured for each of the data sources to identify any major differences that may explain variations in performance for each of the models. Each of the activation models were used in the PIER3 memory model for each of the data sources and was benchmarked against cued-target recall pairs provided by the University of South Florida (USF). Two methods where used to evaluate performance. The first involved measuring the divergence between the sets of results using the Kullback Leibler (KL) divergence with the second utilizing a previous statistical analysis of the errors [9]. Of the three sources of data, two were sourced from human subjects being the USF Free Association Norms and the University of Leuven (UL) Free Association Networks. The third was sourced from a new method put forward by Galea and Bruza, 2015 in which pseudo Free Association Networks (Corpus Based Association Networks - CANs) are built using co-occurrence statistics on large text corpus. It was found that the Quantum Inspired Models of Target Activation not only outperformed the classical psychological model but was more robust across a variety of data sources.