957 resultados para school principal
Resumo:
Teachers leave the teaching profession at different stages throughout their careers. When mid-career teachers leave the profession, there is a potential loss of experienced, quality staff. Increasingly principals have the responsibility for recruiting and keeping quality staff, which translates to responsibility for arresting the attrition rate. This paper reports on an ongoing study that investigates how school leadership may affect teacher job satisfaction in order to understand how principals can enhance teacher work commitment. This paper uses the domains of leadership identified in Education Queensland’s Leadership Matters Framework (2008) to compare school leaders’ and teachers’ perceptions about mid-career teachers’ leaving the profession. Five current principals and five ex-teachers participated in semi-structured, qualitative, individual interviews about which leadership practices impact on teacher work commitment. The ideas identified by each cohort were coded through a content analysis. The five domains of leadership (i.e., personal, relational, intellectual, organisational and educational leadership) provided an analytical framework. Both participant groups indicated relational leadership practices as the strongest influence on teacher work commitment. The relational skills, such as valuing staff, being approachable, being consistent with staff interactions, having good interpersonal skills and developing staff strengths, were noted to have specific impacts on teachers’ work commitment. There were significant differences between the groups, with the ex-teachers rating the personal leadership practices as the second most important practice that can influence teacher work commitment. In contrast, the principals felt that the organisational and education leadership practices were of next importance for teacher work commitment. The findings have implications for principal leadership professional learning. Improving relational skills may help school leaders to increase teacher work. Teacher attrition is a serious concern to many education jurisdictions and by understanding reasons for decline in commitment, jurisdictions can redress the negative impact of leadership practices and keep teachers committed and in the profession. However, further research needs to incorporate more participants through a quantitative study to validate connections with the qualitative findings presented in this current study.
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Structural damage detection using measured dynamic data for pattern recognition is a promising approach. These pattern recognition techniques utilize artificial neural networks and genetic algorithm to match pattern features. In this study, an artificial neural network–based damage detection method using frequency response functions is presented, which can effectively detect nonlinear damages for a given level of excitation. The main objective of this article is to present a feasible method for structural vibration–based health monitoring, which reduces the dimension of the initial frequency response function data and transforms it into new damage indices and employs artificial neural network method for detecting different levels of nonlinearity using recognized damage patterns from the proposed algorithm. Experimental data of the three-story bookshelf structure at Los Alamos National Laboratory are used to validate the proposed method. Results showed that the levels of nonlinear damages can be identified precisely by the developed artificial neural networks. Moreover, it is identified that artificial neural networks trained with summation frequency response functions give higher precise damage detection results compared to the accuracy of artificial neural networks trained with individual frequency response functions. The proposed method is therefore a promising tool for structural assessment in a real structure because it shows reliable results with experimental data for nonlinear damage detection which renders the frequency response function–based method convenient for structural health monitoring.
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Listening to and reflecting on the voices and personal stories of adolescent students with an autism spectrum disorder (ASD) is critically important to developing more inclusive approaches to their education. This article considers the experiences of nine adolescents with an ASD on their inclusive education in a large urban secondary school in Australia. These educational experiences were mapped onto four themes emanating from a similar study by Humphrey and Lewis from the United Kingdom. The results from both studies suggest that although students with ASD are having positive and enabling educational experiences, a number of common inhibitors continue to prevent them from taking full advantage of their schooling. By listening to the voices of students with ASD, specific enablers and inhibitors to promoting successful educational experiences are identified, and recommendations for practice are put forward to better support the education not only of students with ASD but all students.
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Diagnosis of articular cartilage pathology in the early disease stages using current clinical diagnostic imaging modalities is challenging, particularly because there is often no visible change in the tissue surface and matrix content, such as proteoglycans (PG). In this study, we propose the use of near infrared (NIR) spectroscopy to spatially map PG content in articular cartilage. The relationship between NIR spectra and reference data (PG content) obtained from histology of normal and artificially induced PG-depleted cartilage samples was investigated using principal component (PC) and partial least squares (PLS) regression analyses. Significant correlation was obtained between both data (R2 = 91.40%, p<0.0001). The resulting correlation was used to predict PG content from spectra acquired from whole joint sample, this was then employed to spatially map this component of cartilage across the intact sample. We conclude that NIR spectroscopy is a feasible tool for evaluating cartilage contents and mapping their distribution across mammalian joint
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Phenols are well known noxious compounds, which are often found in various water sources. A novel analytical method has been researched and developed based on the properties of hemin–graphene hybrid nanosheets (H–GNs). These nanosheets were synthesized using a wet-chemical method, and they have peroxidase-like activity. Also, in the presence of H2O2, the nanosheets are efficient catalysts for the oxidation of the substrate, 4-aminoantipine (4-AP), and the phenols. The products of such an oxidation reaction are the colored quinone-imines (benzodiazepines). Importantly, these products enabled the differentiation of the three common phenols – pyrocatechol, resorcin and hydroquinone, with the use of a novel, spectroscopic method, which was developed for the simultaneous determination of the above three analytes. This spectroscopic method produced linear calibrations for the pyrocatechol (0.4–4.0 mg L−1), resorcin (0.2–2.0 mg L−1) and hydroquinone (0.8–8.0 mg L−1) analytes. In addition, kinetic and spectral data, obtained from the formation of the colored benzodiazepines, were used to establish multi-variate calibrations for the prediction of the three phenol analytes found in various kinds of water; partial least squares (PLS), principal component regression (PCR) and artificial neural network (ANN) models were used and the PLS model performed best.
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Samples of Forsythia suspensa from raw (Laoqiao) and ripe (Qingqiao) fruit were analyzed with the use of HPLC-DAD and the EIS-MS techniques. Seventeen peaks were detected, and of these, twelve were identified. Most were related to the glucopyranoside molecular fragment. Samples collected from three geographical areas (Shanxi, Henan and Shandong Provinces), were discriminated with the use of hierarchical clustering analysis (HCA), discriminant analysis (DA), and principal component analysis (PCA) models, but only PCA was able to provide further information about the relationships between objects and loadings; eight peaks were related to the provinces of sample origin. The supervised classification models-K-nearest neighbor (KNN), least squares support vector machines (LS-SVM), and counter propagation artificial neural network (CP-ANN) methods, indicated successful classification but KNN produced 100% classification rate. Thus, the fruit were discriminated on the basis of their places of origin.
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This project was designed to support high school teachers in participating schools to work with students whose literacy proficiency in key elements of the literacy component of the Year 9 LaN tests were in the low bands. -- p. 5.
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DNA may take a leading role in a future generation of blockbuster therapeutics. DNA has inherent advantages over other biomolecules such as protein, RNA and virus-like particles including safety, production simplicity and higher stability at ambient temperatures. Vaccination is the principal measure for preventing influenza and reducing the impact of pandemics; however, vaccines take up to 8-9 months to produce, and the global production capacity is woefully low. With production times as short as 2 weeks, improved safety and stability, bioprocess engineering developments, and the ability to perform numerous therapeutic roles, DNA has the potential to meet the demands of emerging and existing diseases. DNA is experiencing sharp growths in demand as indicated by its use in gene therapy trials and DNA vaccine related patents. Of particular interest for therapeutic use is plasmid DNA (pDNA), a form of non-genomic DNA that makes use of cellular machinery to express proteins or antigens. The production stages of fermentation and downstream purification are considered in this article. Forward looking approaches to purifying and delivering DNA are reported, including affinity chromatography and nasal inhalation. The place that pDNA may take in the preparation for and protection against pandemics is considered. If DNA therapeutics and vaccines prove to be effective, the ultimate scale of production will be huge which shall require associated bioprocess engineering research and development for purification of this large, unique biomolecule.
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Sessional academics are an important part of the provision of legal education in higher education with many institutions relying to a large extent on their sessional academics to deliver the teaching program, particularly in the first year. This is particularly relevant to Law Schools as many sessional academics are legal practitioners rather than HDR students. Therefore it is important for both the staff and student experience as well as to the attainment of the learning outcomes that consideration is given to the professional development and training of sessional academics. The QUT Law School has been a participant in a university pilot providing opportunities through the Sessional Academic Success program for academic development, support and developing a sense of belonging for sessional academics. This article will explain the program and initial outcomes and report on the results of surveys and focus groups of sessional academics as well as feedback from fulltime staff. The article will conclude with an analysis of the benefits to sessional academics, students and the School as a whole.
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The lateral amygdala (LA) receives information from auditory and visual sensory modalities, and uses this information to encode lasting memories that predict threat. One unresolved question about the amygdala is how multiple memories, derived from different sensory modalities, are organized at the level of neuronal ensembles. We previously showed that fear conditioning using an auditory conditioned stimulus (CS) was spatially allocated to a stable topography of neurons within the dorsolateral amygdala (LAd) (Bergstrom et al, 2011). Here, we asked how fear conditioning using a visual CS is topographically organized within the amygdala. To induce a lasting fear memory trace we paired either an auditory (2 khz, 55 dB, 20 s) or visual (1 Hz, 0.5 s on/0.5 s off, 35 lux, 20 s) CS with a mild foot shock unconditioned stimulus (0.6 mA, 0.5 s). To detect learning-induced plasticity in amygdala neurons, we used immunohistochemistry with an antibody for phosphorylated mitogen-activated protein kinase (pMAPK). Using a principal components analysis-based approach to extract and visualize spatial patterns, we uncovered two unique spatial patterns of activated neurons in the LA that were associated with auditory and visual fear conditioning. The first spatial pattern was specific to auditory cued fear conditioning and consisted of activated neurons topographically organized throughout the LAd and ventrolateral nuclei (LAvl) of the LA. The second spatial pattern overlapped for auditory and visual fear conditioning and was comprised of activated neurons located mainly within the LAvl. Overall, the density of pMAPK labeled cells throughout the LA was greatest in the auditory CS group, even though freezing in response to the visual and auditory CS was equivalent. There were no differences detected in the number of pMAPK activated neurons within the basal amygdala nuclei. Together, these results provide the first basic knowledge about the organizational structure of two different fear engrams within the amygdala and suggest they are dissociable at the level of neuronal ensembles within the LA
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Policies of inclusion challenge the construct of readiness and require schools to prepare for the diversity of children as they transition to school. However, there is limited empirical evidence concerning how this challenge is met. This paper presents two Australian studies that investigate inclusive practices in the transition to school. Study 1 examined the predictors of child outcomes across a sample of 1831 children in 39 schools. The results indicate that both quantity and quality of programme provision influenced outcomes and that programme effects were particularly potent for children with diverse abilities and backgrounds. Study 2 focuses on pedagogy in three of the schools to highlight how this provision can be achieved. Results show that provisions were reactive, that saliency of children’s needs directed school practices and that professional knowledge impacted on measures of quality. Inclusive processes accounting for both child progress and broader family and teaching influences are necessary for improved transition to school.
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Systemic splits between pre-compulsory and compulsory early years education impact on transitions to school through discontinuities in children’s experience. This paper presents data from a critical participatory action research project about transitions between pre-compulsory and compulsory early education schooling in Australia. The project aim was to investigate how transitions to school might be enhanced by developing deeper professional relationships and shared understandings between teachers from both sectors. Within the communicative space afforded by a professional learning community the participants engaged in critical conversations about their understandings of transitions practices and conditions, including systemic differences. Data analysis provides a snapshot of changes in teachers’ thinking about professional relationships, continuity and factors influencing cross-sectorial professional relationships. Findings suggest that affording opportunities for teachers to re-frame cross sectorial professional relationships has led to transformative changes to transitions practices, understandings and conditions.
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Background No tool exists to measure self-efficacy for overcoming lymphedema-related exercise barriers in individuals with cancer-related lymphedema. However, an existing scale measures confidence to overcome general exercise barriers in cancer survivors. Therefore, the purpose of this study was to develop, validate and assess the reliability of a subscale, to be used in conjunction with the general barriers scale, for determining exercise barriers self-efficacy in individuals facing lymphedema-related exercise barriers. Methods A lymphedema-specific exercise barriers self-efficacy subscale was developed and validated using a cohort of 106 cancer survivors with cancer-related lymphedema, from Brisbane, Australia. An initial ten-item lymphedema-specific barrier subscale was developed and tested, with participant feedback and principal components analysis results used to guide development of the final version. Validity and test-retest reliability analyses were conducted on the final subscale. Results The final lymphedema-specific subscale contained five items. Principal components analysis revealed these items loaded highly (> 0.75) on a separate factor when tested with a well-established nine-item general barriers scale. The final five-item subscale demonstrated good construct and criterion validity, high internal consistency (Cronbach’s alpha=0.93) and test-retest reliability (ICC=0.67, p< 0.01). Conclusions A valid and reliable lymphedema-specific subscale has been developed to assess exercise barriers self-efficacy in individuals with cancer-related lymphedema. This scale can be used in conjunction with an existing general exercise barriers scale to enhance exercise adherence in this understudied patient group.
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Sediment samples were taken from six sampling sites in Bramble Bay, Queensland, Australia between February and November in 2012. They were analysed for a range of heavy metals including Al, Fe, Mn, Ti, Ce, Th, U, V, Cr, Co, Ni, Cu, Zn, As, Cd, Sb, Te, Hg, Tl and Pb. Fraction analysis, enrichment factors and Principal Component Analysis –Absolute Principal Component Scores (PCA-APCS) were carried out in order to assess metal pollution, potential bioavailability and source apportionment. Cr and Ni exceeded the Australian Interim Sediment Quality Guidelines at some sampling sites, while Hg was found to be the most enriched metal. Fraction analysis identified increased weak acid soluble Hg and Cd during the sampling period. Source apportionment via PCA-APCS found four sources of metals pollution, namely, marine sediments, shipping, antifouling coatings and a mixed source. These sources need to be considered in any metal pollution control measure within Bramble Bay.
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Purpose Education reform aimed at achieving improved student learning is a demanding challenge for leaders and managers at all levels of education across the globe. In 2010, the position of Assistant Regional Directors, School Performance (ARD-SP), was established to positively impact upon student learning across public schools in Queensland, Australia. This study explores the perceptions of the role and leadership understandings of ARDs in Queensland in order to understand more fully the tensions and opportunities they face within this reasonably newly created position. Design/methodology/approach This qualitative study is based on interviews with 18 Assistant Regional Directors and two of their supervisors to gauge a better understanding of the nature of the role as it relates to leadership and management in the Queensland context. Findings Interview data revealed three key themes pertaining to the nature of the role and these were performance, supervision, and professional challenges. A key finding was that the notion of supervision was experienced as problematic for ARDs-SP. Research limitations/implications This study has limitations and these include a sample that focused on Assistant Regional Directors within one State of Australia and one schooling system (i.e. public education); and interviews were the primary data collection source. Originality/value Although there have been studies of supervisors of principals (referred to as superintendents, directors) in other countries and other systems, this study is a first to explore the tensions and opportunities faced by executive leaders in Queensland.