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    29295 research outputs found

    Identifying student retention factors of a UK university using the concept of a learning community: a qualitative approach

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    The UK will need a skilled IT work force to maintain its position as a world leader in computing research and development. This study investigated the experience of learning communities amongst first year undergraduate computing students at a UK university. The concept of a learning community was used to examine its influence on student academic and social integration, the issues students need to overcome and the knowledge they need to acquire to become successful. A qualitative approach was employed using the ‘unfolding matrix’, which was completed during group interviews. The data analysis results revealed that learning communities critically affect students’ academic and social integration. Specifically, the importance of student support and guidance from academic staff was considered, as well as student relationships with other students and academic staff. Furthermore, developing a sense of personal awareness and the need to develop an effective academic skill-set to succeed were identified as critical

    Playful Learning for Information Literacy Development

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    Play is often seen as frivolous, childish, suitable only for young children. In contrast, this paper will discuss the idea that using playful learning approaches are often a good fit for the development of information literacy in all ages. To do this, it will outline the meaning of information literacy that the author takes, explain where playful learning is placed within learning theories and pedagogies, and show why and how they fit together. Examples of playful practice in library and information literacy training will be given to illustrate current practice, together with gaps within that practice. It will briefly address some of the barriers to using playful learning approaches in information literacy development, and offer some ways forward for information literacy practitioners

    Broaden my Bookshelf: working with the University of Huddersfield SU to tackle the attainment gap

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    The article describes the origins and aims of the Broaden my Bookshelf initiative at the University of Huddersfield and details some of the successes and challenges of the project

    Keeping the Faith: A History of Northern Soul

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    In the 1970s, Northern Soul held a pivotal position in British youth culture. Originating in the English North and Midlands in the late-1960s, by the mid-1970s it was attracting thousands of enthusiasts across the country. This book is a social history of Northern Soul, examining the origins and development of this music scene, its clubs, publications and practices. Northern Soul emerged in a period when working class communities were beginning to be transformed by deindustrialisation and the rise of new political movements around the politics of race, gender and locality. Locating Northern Soul in these shifting economic and social contexts of the English North and Midlands in the 1970s, the authors argue that people kept the faith not just with music, but with a culture that was connected to wider aspects of work, home, relationships and social identities. Drawing on an expansive range of sources, including oral histories, magazines and fanzines, diaries and letters, this book offers a detailed and empathetic reading of a working class culture that was created and consumed by thousands of young people in the 1970s. The authors highlight the complex ways in which class, race and gender identities acted as forces for both unity and fragmentation on the dancefloors of iconic clubs such as the Twisted Wheel in Manchester, Blackpool Mecca, the Torch in Stoke-on-Trent, the Catacombs in Wolverhampton and the Casino in Wigan. Marking a significant contribution to the historiography of youth culture, this book is essential reading for those interested in popular music and everyday life in in postwar Britain

    Music in the Margins: Queerness in the Clerical Imagination, 1200–1500

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    What might queerness mean when considering medieval cultural products? Certainly the term itself is a much later one, but the concept of sex, the body and sexuality as fluid and in play pervades much medieval discourse, from the theological to the fictional. This chapter seeks to examine some of the ways in which musical bodies can be understood as queer between 1200 and 1500. It focuses on the way in which musicians and their instruments are depicted, especially in the margins of devotional manuscripts: such sources largely originated within a celibate, masculine, clerical production context. Music-making is ubiquitous in marginal images, with examples ranging from the conventional to the grotesque and obscene, and sometimes involving hybrid men/instruments in which the player and the played become confused. The images suggest cultural understandings of the body that extend beyond binaries of male/female, lay/religious, human/animal, or of normative/queer sexual behaviours, desires and identities

    Data Analytics: intelligent anti-phishing techniques based on Machine Learning

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    According to the international body Anti-Phishing Work Group (APWG), phishing activities have skyrocketed in the last few years and more online users are becoming susceptible to phishing attacks and scams. While many online users are vulnerable and naive to the phishing attacks, playing catch-up to the phishers' evolving strategies is not an option. Machine Learning techniques play a significant role in developing effective anti-phishing models. This paper looks at phishing as a classification problem and outlines some of the recent intelligent machine learning techniques (associative classifications, dynamic self-structuring neural network, dynamic rule-induction etc.) in the literature that is used as anti-phishing models. The purpose of this review is to serve researchers, organizations' managers, computer security experts, lecturers, and students who are interested in understanding phishing and its corresponding intelligent solutions. This will equip individuals with knowledge and skills that may prevent phishing on a wider context within the community

    Predictive Models and Abstract Argumentation: the case of High-Complexity Semantics

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    In this paper we describe how predictive models can be positively exploited in abstract argumentation. In particular, we present two main sets of results. On one side, we show that predictive models are effective for performing algorithm selection in order to determine which approach is better to enumerate the preferred extensions of a given argumentation framework. On the other side, we show that predictive models predict significant aspects of the solution to the preferred extensions enumeration problem. By exploiting an extensive set of argumentation framework features— i.e., values that summarise a potentially important property of a framework—the proposed approach is able to provide an accurate prediction about which algorithm would be faster on a given problem instance, as well as of the structure of the solution, where the complete knowledge of such structure would require a computationally hard problem to be solved. Improving the ability of existing argumentation-based systems to support human sense-making and decision processes is just one of the possible exploitations of such knowledge obtained in an inexpensive way

    An empirical evaluation of metrics on aspect-oriented programs

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    The quality evaluation of software metrics measurements are considered as the primary indicator of imperfection prediction and software maintenance in various empirical studies of software products. However, there is no agreement on which metrics are compelling quality pointers for new software development approaches such as Aspect-Oriented Programming techniques. Aspect-Oriented Programming intends to enhance programming quality by providing fundamentally different parts of the systems, for example, pointcuts, advice, and inter-type relationships. Hence, it is not evident if quality characteristics for AOP could be extracted from direct expansions of traditional Object Oriented Programming measurements. Then again, investigations of Aspect-Oriented Programming do regularly depend on established static and dynamic metrics measurements; notwithstanding the late research of AOP in empirical studies, few analyses been adopted using ISO 9126 quality model as useful markers of flaw inclination in this context. This paper examination we have considered different programming quality models given by various authors every once in a while and distinguished that adaptability was deficient in the current model. We have testing ten projects developed by Aspect-Oriented Programming. We have used many applications to extract the metrics, but none of them could extract all AOP metrics. It only can measure some of AOP metrics, not all of them. This study investigates the suitable framework for extract AOP metrics, For instance, static and dynamic metrics measurements for hybrid application systems (Aspect-Oriented Programming, Object-Oriented Programming), or only Aspect-Oriented Programming application

    A Composite Resilience Index for Road Transport Networks

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    This paper is concerned with the development of a composite index for the resilience of road transport networks under disruptive events. The index employs three resilience characteristics, namely redundancy, vulnerability and mobility. Two different approaches, i.e. equal weighting and principal component analysis, are adopted to conduct the aggregation. In addition, the impact of the availability of real-time travel information for travellers on the three resilience characteristics and the composite resilience index is described. The application of the index on a synthetic road transport network of Delft city (Netherlands) shows that it responds well to traffic load changes and supply variations. The composite resilience index could be of use in various ways including supporting decision makers in understanding the dynamic nature of resilience under different disruptive events, highlighting weaknesses in the network and in assisting future planning to mitigate the impacts of disruptive events

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