110 resultados para English, aviation, air travel, communication, structure, importance, language, phraseology


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Recently, the debate around critical literacy has dissipated as literacy education agendas and attendant policies shift to embrace more hybrid approaches to the teaching of senior English. This paper reports on orientations towards critical literacy as expressed by four teachers of senior English who teach culturally and linguistically diverse learners. Teachers’ understandings of critical literacy are important given the emphasis on Critical and Creative Thinking as well as Literacy as General Capabilities underpinning the Australian Curriculum. Using critical discourse analysis and Janks' (2010) Synthesis Model of Critical Literacy, interview and classroom data from four teachers of English as an Additional Language or Dialect (EAL/D) learners in two high schools were analysed for the ways these teachers constructed critical literacy in their talk and practice. While all four teachers indicated significant commitment to critical literacy as an approach to English language teaching, their understandings varied. These ranged from providing access to powerful genres, to rationalist approaches to interrogating text, with less emphasis on multimodal design and drawing on learner diversity. This has significant implications for what kind of learning is being offered to EAL/D learners in the name of English teaching, for syllabus design, and for teacher professional development.

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This action research study investigated face-to-face and wiki technology collaboration to enhance students' English writing skills in a second language (L2) class in Vietnam. The thesis is underpinned by socio-cultural theory and argues that collaborative learning using wikis led to an enhancement in L2 writing skills. The findings show that collaborating via wikis challenged traditional L2 writing pedagogy in the following ways: increased student autonomy; understanding formative feedback; and awareness of process writing, genre and audiences. This study contributes practical knowledge about affordances and constraints of collaborative writing using wikis in Vietnam and other countries where traditional pedagogies are prevalent.

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Within online learning communities, receiving timely and meaningful insights into the quality of learning activities is an important part of an effective educational experience. Commonly adopted methods – such as the Community of Inquiry framework – rely on manual coding of online discussion transcripts, which is a costly and time consuming process. There are several efforts underway to enable the automated classification of online discussion messages using supervised machine learning, which would enable the real-time analysis of interactions occurring within online learning communities. This paper investigates the importance of incorporating features that utilise the structure of on-line discussions for the classification of "cognitive presence" – the central dimension of the Community of Inquiry framework focusing on the quality of students' critical thinking within online learning communities. We implemented a Conditional Random Field classification solution, which incorporates structural features that may be useful in increasing classification performance over other implementations. Our approach leads to an improvement in classification accuracy of 5.8% over current existing techniques when tested on the same dataset, with a precision and recall of 0.630 and 0.504 respectively.

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This research explored the feasibility of using multidimensional scaling (MDS) analysis in novel combination with other techniques to study comprehension of epistemic adverbs expressing doubt and certainty (e.g., evidently, obviously, probably) as they relate to health communication in clinical settings. In Study 1, Australian English speakers performed a dissimilarity-rating task with sentence pairs containing the target stimuli, presented as "doctors' opinions". Ratings were analyzed using a combination of cultural consensus analysis (factor analysis across participants), weighted-data classical-MDS, and cluster analysis. Analyses revealed strong within-community consistency for a 3-dimensional semantic space solution that took into account individual differences, strong statistical acceptability of the MDS results in terms of stress and explained variance, and semantic configurations that were interpretable in terms of linguistic analyses of the target adverbs. The results confirmed the feasibility of using MDS in this context. Study 2 replicated the results with Canadian English speakers on the same task. Semantic analyses and stress decomposition analysis were performed on the Australian and Canadian data sets, revealing similarities and differences between the two groups. Overall, the results support using MDS to study comprehension of words critical for health communication, including in future studies, for example, second language speaking patients and/or practitioners. More broadly, the results indicate that the techniques described should be promising for comprehension studies in many communicative domains, in both clinical settings and beyond, and including those targeting other aspects of language and focusing on comparisons across different speech communities.