1,583 research outputs found

    From area-based initiatives to strategic partnerships: have we lost the meaning of regeneration?

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    For forty years area-based initiatives (ABIs) were the primary tool used by UK governments to tackle problems of concentrated deprivation and dereliction. The last decade saw these initiatives end, replaced by new forms of city-wide or region-wide governance: Local Strategic Partnerships in England and Community Planning Partnerships in Scotland. It was argued in both policy documents and policy analysis that this change would deliver more effective regeneration for all communities. Challenging this narrative, I present this policy shift as a change in the meaning of regeneration policy using the methodology of interpretive policy analysis. The evidence from Scottish experience suggests that for a key policy actor-community activists in deprived neighbourhoods-the approach of ABIs had a great deal of meaning as regeneration. Furthermore, this meaning was still present a decade after an ABI had ended. Meanwhile, the newer strategic partnerships were delivering little meaningful change. This difference in meaning is used to reimagine strategic regeneration as a more positive process

    From Personal Memories to Sharable Memories

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    The exchange of personal experiences is a way of supporting decision making and interpersonal communication. In this article, we discuss how augmented personal memories could be exploited in order to support such a sharing. We start with a brief summary of a system implementing an augmented memory for a single user. Then, we exploit results from interviews to define an example scenario involving sharable memories. This scenario serves as background for a discussion of various questions related to sharing memories and potential approaches to their solution. We especially focus on the selection of relevant experiences and sharing partners, sharing methods, and the configuration of those sharing methods by means of reflection

    Metrics for the Adaptation of Site Structure

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    This paper presents an overview of metrics for web site structure and user navigation paths. Particular attention will be paid to the question what these metrics really say about a site and its usage, and how they can be applied for adapting navigation support to the mobile context

    Futures of area-based initiatives in German education: results from a quantitative Delphi survey

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    To support schools, improve learning outcomes, create innovative learning opportunities, and reduce social disadvantage, many countries have introduced policies to mandate or incentivize educational networks in the last decade. This study focuses on Germany, where around 80% of municipalities established area-based initiative (ABI) structures following a broad range of ABIs. However, research has revealed a gap between intentions and implementation: There is a strong bias toward governance structures, while educational aims have not been achieved. To provide a foundation for purposeful development, a Delphi study has been conducted. Based on a sample of 180 nationwide ABI experts, data was collected in two steps using an online questionnaire on preferred and probable developments in crucial ABI fields. Statistical analyses offer insights into the relation between desirability and expectation and the degree of consensus or divergence among experts. The study shows that after 10 years of experience, the discrepancy between intentions and implementation is expected to remain. Further, it reveals tendencies on the level of governance and thereby contributes to identifying the scope of ABIs. The study concludes that, for future development, it is necessary to define ABIs’ contributions to their initial aims and to reassess their legitimacy

    Toward a collective intelligence recommender system for education

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    The development of Information and Communication Technology (ICT), have revolutionized the world and have moved us into the information age, however the access and handling of this large amount of information is causing valuable time losses. Teachers in Higher Education especially use the Internet as a tool to consult materials and content for the development of the subjects. The internet has very broad services, and sometimes it is difficult for users to find the contents in an easy and fast way. This problem is increasing at the time, causing that students spend a lot of time in search information rather than in synthesis, analysis and construction of new knowledge. In this context, several questions have emerged: Is it possible to design learning activities that allow us to value the information search and to encourage collective participation?. What are the conditions that an ICT tool that supports a process of information search has to have to optimize the student's time and learning? This article presents the use and application of a Recommender System (RS) designed on paradigms of Collective Intelligence (CI). The RS designed encourages the collective learning and the authentic participation of the students. The research combines the literature study with the analysis of the ICT tools that have emerged in the field of the CI and RS. Also, Design-Based Research (DBR) was used to compile and summarize collective intelligence approaches and filtering techniques reported in the literature in Higher Education as well as to incrementally improving the tool. Several are the benefits that have been evidenced as a result of the exploratory study carried out. Among them the following stand out: • It improves student motivation, as it helps you discover new content of interest in an easy way. • It saves time in the search and classification of teaching material of interest. • It fosters specialized reading, inspires competence as a means of learning. • It gives the teacher the ability to generate reports of trends and behaviors of their students, real-time assessment of the quality of learning material. The authors consider that the use of ICT tools that combine the paradigms of the CI and RS presented in this work, are a tool that improves the construction of student knowledge and motivates their collective development in cyberspace, in addition, the model of Filltering Contents used supports the design of models and strategies of collective intelligence in Higher Education.Postprint (author's final draft

    Using thematic ontologies for user- and group- based adaptive personalization in web searching

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    This paper presents Prospector, an adaptive meta-search layer, which performs personalized re-ordering of search results. Prospector combines elements from two approaches to adaptive search support: (a) collaborative web searching; and, (b) personalized searching using semantic metadata. The paper focuses on the way semantic metadata and the users’ search behavior are utilized for user- and group- modeling, as well as on how these models are used to re-rank results returned for individual queries. The paper also outlines past evaluation activities related to Prospector, and discusses potential applications of the approach for the adaptive retrieval of multimedia documents

    Introduction

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    Doctor of Philosophy

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    dissertationZL is a C++-compatible language in which high-level constructs, such as classes, are defined using macros over a C-like core language. This approach is similar in spirit to Scheme and makes many parts of the language easily customizable. For example, since the class construct can be defined using macros, a programmer can have complete control over the memory layout of objects. Using this capability, a programmer can mitigate certain problems in software evolution such as fragile ABIs (Application Binary Interfaces) due to software changes and incompatible ABIs due to compiler changes. ZL's parser and macro expander is similar to that of Scheme. Unlike Scheme, however, ZL must deal with C's richer syntax. Specifically, support for context;-sensitive parsing and multiple syntactic categories (expressions, statements, types, etc.) leads to novel strategies for parsing and macro expansion. In this dissertation we describe ZL's approach to parsing and macros. We demonstrate how to use ZL to avoid problems with ABI instability through techniques such as fixing the size of class instances and controlling the layout of virtual method dispatch tables. We also demonstrate how to avoid problems with ABI incompatibility by implementing another compiler's ABI. Future work includes a more complete implementation of C++ and elevating the approach so that it is driven by a declarative ABI specification language
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