55 resultados para Early Years Learning Framework


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This paper presents a preliminary study of developing a novel distributed adaptive real-time learning framework for wide area monitoring of power systems integrated with distributed generations using synchrophasor technology. The framework comprises distributed agents (synchrophasors) for autonomous local condition monitoring and fault detection, and a central unit for generating global view for situation awareness and decision making. Key technologies that can be integrated into this hierarchical distributed learning scheme are discussed to enable real-time information extraction and knowledge discovery for decision making, without explicitly accumulating and storing all raw data by the central unit. Based on this, the configuration of a wide area monitoring system of power systems using synchrophasor technology, and the functionalities for locally installed open-phasor-measurement-units (OpenPMUs) and a central unit are presented. Initial results on anti-islanding protection using the proposed approach are given to illustrate the effectiveness.

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This paper presents a critical review of the literature surrounding the potential impact of undiagnosed and untreated vision impairment on reading development in the early years of primary school. Despite pre-school screening programmes, it is still possible for children to enter school with undiagnosed, uncorrected vision impairments. This can be due to health care access issues for children. Data reviewed indicated correlations between hyperopic vision impairment and poor reading development. However, the relationships reported remain complex, with myopic vision impairment being reported to correlate to high reading ability in some studies. In addition, correlation does not necessarily imply causation. Previous research in the field is reported. Deficiencies in the current literature base are discussed. Finally, recommendations for teaching practice and the nature of research that explores whether vision impairment is the cause of poor reading development for some children in school is suggested.

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This paper reports the results from a cluster randomised controlled trial (RCT) and process evaluation of the Early Years DELTA Parenting Programme; a six-week, group based intervention. The evaluation was part funded by DELTA and involved 23 primary schools and 334 parents. Results showed that intervention parents reported increased parental self-efficacy in relation to: knowledge of their child’s development and needs; self-acceptance as a good parent, and; disciplining and setting boundaries. No change was observed in the remaining outcome areas. Parent interviews indicated a high level of programme satisfaction and the main benefits reflected the outcomes measured by the RCT. This small, robust evaluation is commensurate with other similar research demonstrating the effectiveness and reach of short-term, group-based parenting programmes.

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Recent years have witnessed an incredibly increasing interest in the topic of incremental learning. Unlike conventional machine learning situations, data flow targeted by incremental learning becomes available continuously over time. Accordingly, it is desirable to be able to abandon the traditional assumption of the availability of representative training data during the training period to develop decision boundaries. Under scenarios of continuous data flow, the challenge is how to transform the vast amount of stream raw data into information and knowledge representation, and accumulate experience over time to support future decision-making process. In this paper, we propose a general adaptive incremental learning framework named ADAIN that is capable of learning from continuous raw data, accumulating experience over time, and using such knowledge to improve future learning and prediction performance. Detailed system level architecture and design strategies are presented in this paper. Simulation results over several real-world data sets are used to validate the effectiveness of this method.

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This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop efficient algorithms that can effectively learn Bayesian networks, requiring only polynomial numbers of conditional independence (CI) tests in typical cases. We provide precise conditions that specify when these algorithms are guaranteed to be correct as well as empirical evidence (from real world applications and simulation tests) that demonstrates that these systems work efficiently and reliably in practice.

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The Labour Government in the UK has announced, as part of its launch of The Children's Plan, that it 'wants to make this country the best place in the world for children and young people to grow up' in. This latest Plan is further evidence of the surge of interest that there has been in children (and, in particular, early childhood) over the last ten years in the UK and indeed elsewhere. Many of the recent policy and practice initiatives have implications for social workers working with young children. Yet, social work as a profession, in comparison with education, has remained relatively silent on these initiatives and it is hard to find any critical analysis of these developments in terms of either their underlying discourses or their implications for social workers. This article sets out to address these gaps by providing a critical analysis of: what types of knowledge regarding the early years have gained political currency; why and how this is the case; and what the implications are for the role and practices of social workers. The article proposes that discourses of 'need' and 'provision' mask more powerful discourses of economics, social control and risk avoidance, and it concludes by advocating more critically reflexive social work practice with young children and their families.

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In the United Kingdom tensions have existed for many years between the pedagogical traditions of pre-school, which tend to adopt developmentally oriented practices, and the more formal or subject-oriented curriculum framework of primary school. These tensions have been particularly acute in the context of Northern Ireland, which has the earliest school starting age throughout Europe. In response to international research evidence and practice, a play-based and developmentally appropriate curriculum, known as the Enriched Curriculum (EC), was introduced as a pilot in Year 1 and 2 classes in over 100 primary schools in Northern Ireland between 2000 and 2002 and continued until the Foundation Stage became statutory for all primary schools in 2007. This paper outlines four key lessons that have been learned from the first four years of the evaluation of this experience. These include the value and the meaning of a play-based curriculum; the importance of teachers’ confidence and knowledge; teaching reading in a play-based curriculum; and easing transitions in a play-based curriculum.