859 resultados para research higher degree
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Across the globe, higher education institutions are working in environments of increasing accountability with little sign of this trend abating. This heightened focus on accountability has placed greater demands on institutions to provide evidence of quality and the achievement of standards that assure that quality. Moderation is one quality assurance process that plays a central role in the teaching, learning and assessment cycle in higher education institutions. While there is a growing body of research globally on teaching, learning and , to a lesser degree, assessment in higher education, the process of moderation has received even less attention (Watty, Freeman, Howieson, Hancock, O'Connell, et al. 2013). Until recently, moderation processes in Australian universities have been typically located within individual institutions, with universities given the responsibility for developing their own specific policies and practices. However, in 2009 the Australian Government announced that an independent national quality and regulatory body for higher education institutions would be established. With the introduction of the Tertiary Education Quality Standards Authority (TEQSA), more formalised requirements for moderation of assessment are being mandated. In light of these reforms, the purpose of this qualitative study was to identify and investigate current moderation practices operating within one faculty, the Faculty of Education, in a large urban university in eastern Australia. The findings of this study revealed four discourses of moderation: equity, justification, community building and accountability. These discourses provide a starting point for academics to engage in substantive conversations around assessment and to further critique the processes of moderation.
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Internationally there is interest in developing the research skills of pre-service teachers as a means of ongoing professional renewal with a distinct need for systematic and longitudinal investigation of student learning. The current study takes a unique perspective by exploring the research learning journey of pre-service teachers participating in a transnational degree programme. Using a case-study design that includes both a self-reported and direct measure of research knowledge, the results indicate a progression in learning, as well as evidence that this research knowledge is continued or maintained when the pre-service teachers return to their home university. The findings of this study have implications for both pre-service teacher research training and transnational programmes.
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Objective Several genetic risk variants for ankylosing spondylitis (AS) have been identified in genome-wide association studies. Our objective was to examine whether familial AS cases have a higher genetic load of these susceptibility variants. Methods Overall, 502 AS patients were examined, consisting of 312 patients who had first-degree relatives (FDRs) with AS (familial) and 190 patients who had no FDRs with AS or spondylarthritis (sporadic). All patients and affected FDRs fulfilled the modified New York criteria for AS. The patients were recruited from 2 US cohorts (the North American Spondylitis Consortium and the Prospective Study of Outcomes in Ankylosing Spondylitis) and from the UK-Oxford cohort. The frequencies of AS susceptibility loci in IL-23R, IL1R2, ANTXR2, ERAP-1, 2 intergenic regions on chromosomes 2p15 and 21q22, and HLA-B27 status as determined by the tag single-nucleotide polymorphism (SNP) rs4349859 were compared between familial and sporadic cases of AS. Association between SNPs and multiplex status was assessed by logistic regression controlling for sibship size. Results HLA-B27 was significantly more prevalent in familial than sporadic cases of AS (odds ratio 4.44 [95% confidence interval 2.06, 9.55], P = 0.0001). Furthermore, the AS risk allele at chromosome 21q22 intergenic region showed a trend toward higher frequency in the multiplex cases (P = 0.08). The frequency of the other AS risk variants did not differ significantly between familial and sporadic cases, either individually or combined. Conclusion HLA-B27 is more prevalent in familial than sporadic cases of AS, demonstrating higher familial aggregation of AS in patients with HLA-B27 positivity. The frequency of the recently described non-major histocompatibility complex susceptibility loci is not markedly different between the sporadic and familial cases of AS.
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PhD supervision is a particularly complex form of pedagogical practice, and nowhere is its complexity more apparent than in new and emergent fields, such as creative practice Higher Degrees by Research (HDRs) where supervisors face the challenges of a unique, uncharted area of research training. While there is an increasing body of literature on postgraduate supervision, and another emerging body of research into what creative practice/practice-led/practice-based research is, so far little attention has been paid to matters associated with research education leadership and pedagogical aspects of supervision in creative practice disciplines.For this reason, this special issue brings together a range of perspectives on the supervision of creative practice PhDs in visual and performing arts, media production, creative writing, and design.
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The research establishes a model for online learning centering on the needs of integrative knowledge practices. Through the metaphor of Constellations, the practice-based research explores the complexities of working within interdisciplinary learning contexts and the potential of tools such as the Folksonomy learning platform for providing necessary conceptual support.
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In our complex and incongruous professional worlds, where there is no blueprint for dealing with unpredictable people and events, it is imperative that individuals develop reflexive approaches to professional identity building. Notwithstanding the importance of disciplinary knowledge and skills, higher education has a crucial role to play in guiding students to examine and mediate self in relation to context for effective decision-making and action. This paper reports on a small-scale longitudinal project that investigated the ways in which ten undergraduate students over the course of a three-year Radiation Therapy degree shaped their professional identities. Theories of reflexivity and methods of discourse analysis are utilised to understand the ways in which individuals accounted for their professional identity projects at university. The findings suggest that, across time, the participants negotiated professional ‘becoming’ through four distinct kinds of reflexive modalities. These findings have implications for teaching strategies and curriculum design in undergraduate programs.
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Revised 2006-06
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Jisc conducted a study into the use of technology in higher and further education to mark the launch of the Jisc Digital Festival.
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Helping HEIs plan the use of online channels to communicate information about the expertise of researchers within their institution so that it meets the needs of business and community users, as well researchers themselves
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The case presented in this article clearly indicates that reservoir and lake resource systems, reservoirs in the Asian context lakes plus reservoirs in the African context, have been given a lower priority than deserved.
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In this paper, we redefine the sample points set in the feature space from the point of view of weighted graph and propose a new covering model - Multi-Degree-of-Freedorn Neurons (MDFN). Base on this model, we describe a geometric learning algorithm with 3-degree-of-freedom neurons. It identifies the sample points secs topological character in the feature space, which is different from the traditional "separation" method. Experiment results demonstrates the general superiority of this algorithm over the traditional PCA+NN algorithm in terms of efficiency and accuracy.
Resumo:
In this paper, we redefine the sample points set in the feature space from the point of view of weighted graph and propose a new covering model - Multi-Degree-of-Freedorn Neurons (MDFN). Base on this model, we describe a geometric learning algorithm with 3-degree-of-freedom neurons. It identifies the sample points secs topological character in the feature space, which is different from the traditional "separation" method. Experiment results demonstrates the general superiority of this algorithm over the traditional PCA+NN algorithm in terms of efficiency and accuracy.