892 resultados para Information Science
Resumo:
Giving extra credit work to students has been a controversial and hotly debated pedagogical issue for the last 20 years (Blood et al. 1993; Groves 2000; Muztaba Fuad and Jones 2012; Norcross et al. 1989; Weimer 2011). Previous work has focused on the faculty perspective discussing benefits and drawbacks associated with extra credit work (e.g. Hill et al. 1993; Norcross et al. 1989). Other scholars have investigated the use and effects of pop quizzes and other extra credit assignments on students final grades (Thorne 2000; Oley 1993). Some authors have criticized that the empirical exploration of understanding students motivational and performance efforts remains scarce and rarely appears in the literature (Mays and Bower 2005, p. 1). Besides a gap of empirical work it further appears that most existing studies stem from Psychology or Information Science. Yet it is surprising that, even though the topic of extra credit is considered a common practice in marketing education (Ackerman and Kiesler 2007), there is a wide gap within the marketing education literature. For example, a quick search in the Journal of Marketing Education for the keyword extra credit shows only 25 search results; yet none of those papers address motivational or performance effects of extra credit. A further search in Marketing Education Review yielded no results at all. To the authors knowledge, the topic has only been addressed once by Ackerman and Kiesler in the 2007 MEA Proceedings who conclude that for such a common part of the marketing education curriculum, we know surprisingly little about its impact on students (p. 123).
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Queensland Department of Primary Industries and Fisheries Library achieved a significant breakthrough in the provision of Open Access to Australian publicly funded research with the launch of its eResearch Archive (eRA). With more than one thousand publication records, journal articles, conferences papers and research reports now available to farmers, industry representatives, academics, researchers, students and members of the public throughout the world, the archive is the first web accessible multidisciplinary science institutional repository produced by an Australian government department.
Resumo:
The choice to vaccinate or not to vaccinate a child is usually an informed decision, however, it is how this decision is informed which is of most importance. More frequently, families are turning to the Internet, in particular social media, as a data source to support their decisions. However, much of the online information may be unscientific or biased. While issues such as vaccination will always see dissenting voices, engaging with that other side is difficult in the public policy debate which is informed by evidence based science. This chapter investigates the other side in light of the growing adoption and reliance on social media as a source of anti-vaccine information. The study adopts a qualitative approach to data collection and is based on a critical discourse analysis of online social media discourse. The findings demonstrate the valuable contribution this approach can make to public policy work in vaccination.
Resumo:
Prior to embarking on further study into the subject of relevance it is essential to consider why the concept of relevance has remained inconclusive, despite extensive research and its centrality to the discipline of information science. The approach taken in this paper is to reconstruct the science of information retrieval from first principles including the problem statement, role, scope and objective. This framework for document selection is put forward as a straw man for comparison with the historical relevance models. The paper examines five influential relevance models over the past 50 years. Each is examined with respect to its treatment of relevance and compared with the first principles model to identify contributions and deficiencies. The major conclusion drawn is that relevance is a significantly overloaded concept which is both confusing and detrimental to the science.
Resumo:
Understanding of the shape and size of different features of the human body from scanned data is necessary for automated design and evaluation of product ergonomics. In this paper, a computational framework is presented for automatic detection and recognition of important facial feature regions, from scanned head and shoulder polyhedral models. A noise tolerant methodology is proposed using discrete curvature computations, band-pass filtering, and morphological operations for isolation of the primary feature regions of the face, namely, the eyes, nose, and mouth. Spatial disposition of the critical points of these isolated feature regions is analyzed for the recognition of these critical points as the standard landmarks associated with the primary facial features. A number of clinically identified landmarks lie on the facial midline. An efficient algorithm for detection and processing of the midline, using a point sampling technique, is also presented. The results obtained using data of more than 20 subjects are verified through visualization and physical measurements. A color based and triangle skewness based schemes for isolation of geometrically nonprominent features and ear region are also presented. [DOI: 10.1115/1.3330420]
Resumo:
Product success is substantially influenced by satisfaction of knowledge needs of designers, and many tools and methods have been proposed to support these needs. However, adoption of these methods in industry is minimal. This may be due to an inadequate understanding of the knowledge needs of designers in industry. This research attempts to develop a better understanding of these needs by undertaking descriptive studies in an industry. We propose a taxonomy of knowledge, and evaluate this by analyzing the questions asked by the designers involved in the study during their interactions. Using the taxonomy, we converted the questions asked into a generic form. The generic questions provide an understanding about what knowledge must be captured during design, and what its structure should be.
Resumo:
Current design models and frameworks describe various overlapping fragments of designing. However, little effort exists in consolidating these fragments into an integrated model. We propose a model of designing that integrates product and process facets of designing by combining activities, outcomes, requirements, and solutions. Validation of the model using video protocols of design sessions demonstrates that all the constructs are used naturally by designers but often not to the expected level, which hinders the variety and resulting novelty of the concepts developed in these sessions. To resolve this, a prescriptive framework for supporting design for variety and novelty is proposed and plans for its implementation are created. DOI: 10.1115/1.3467011]
Resumo:
HFSTHelsinki Finite-State Technology ( hfst.sf.net ) is a framework for compiling and applying linguistic descriptions with finite-state methods. HFST currently connects some of the most important finite-state tools for creating morphologies and spellers into one open-source platform and supports extending and improving the descriptions with weights to accommodate the modeling of statistical information. HFST offers a path from language descriptions to efficient language applications in key environments and operating systems. HFST also provides an opportunity to exchange transducers between different software providers in order to get the best out of each finite-state library.
Resumo:
One of the hallmarks of engineering design is the design synthesis phase where the creativity of the designer most prominently comes into play as solutions are generated to meet underlying needs. Over the past decades, methodologies for generating concepts and design solutions have matured to the point that computation-based synthesis provides a means to explore a wider variety of solutions and take over more tedious design tasks. This paper reviews advances in function-based, grammar-based, and analogy-based synthesis approaches and their contributions to computational design synthesis research in the last decade. DOI: 10.1115/1.3593409]
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We present in this paper a new algorithm based on Particle Swarm Optimization (PSO) for solving Dynamic Single Objective Constrained Optimization (DCOP) problems. We have modified several different parameters of the original particle swarm optimization algorithm by introducing new types of particles for local search and to detect changes in the search space. The algorithm is tested with a known benchmark set and compare with the results with other contemporary works. We demonstrate the convergence properties by using convergence graphs and also the illustrate the changes in the current benchmark problems for more realistic correspondence to practical real world problems.
Resumo:
Pesquisa focada na definio de um modelo terico-sistmico de Gesto do Conhecimento Estratgico (GCE), estando inserida nos estudos da Gesto do Conhecimento (GC) e da Gesto da Informao (GI), considerando conceitos relacionados ao conhecimento (tcito e explcito), a estratgias (perspectivas e abordagens) e aos agentes envolvidos (decisores e estrategistas; novatos e experientes). A construo do modelo se vale de vises da Cincia da Informao, da Administrao e da Psicologia Cognitiva. A metodologia empregada utiliza o mtodo abdutivo de pesquisa (uso concomitante dos mtodos indutivo e dedutivo), valendo-se da anlise bibliogrfica (para sustentao terica do modelo), do estudo comparado (para a avaliao de diferentes modelos de GC e de abordagens e perspectivas estratgicas) e da pesquisa descritiva ou de campo (para validao do modelo junto a profissionais da rea em estudo). Os resultados indicam que possvel definir-se um modelo de Gesto do Conhecimento estratgico e que muitos trabalhos podem ser desenvolvidos, derivados da proposta apresentada nesta tese.
Resumo:
Examina a aplicao da Lei n 12.527, de 18 de novembro de 2011 a Lei de Acesso Informao (LAI) tendo como locus a Cmara dos Deputados e o seu rgo de gesto da informao, de relacionamento e de atendimento ao pblico usurio, o Centro de Documentao e Informao (Cedi) e, em particular, a Coordenao de Relacionamento, Pesquisa e Informao (Corpi). Analisa-se, luz da Cincia da Informao, o impacto causado pela LAI no processo de provimento de informao e na disponibilidade da informao institucional para a sociedade, no contexto do amplo acesso s informaes pblicas, desejvel na Cmara. A pesquisa, de carter documental, firma-se em documentos e na legislao produzidos na esfera da Cmara dos Deputados. Para o estudo do caso, utilizou-se entrevista com servidores da Corpi, onde se colheram impresses sobre o impacto da LAI na dinmica do trabalho de atendimento e pesquisa, identificaram-se os principais problemas percebidos e as suas sugestes de melhoria. Discorre-se, tambm, subsidiariamente, sobre a gesto da informao como parte do ciclo informacional e condio para o acesso informao, tpico central desta pesquisa. Aborda-se a questo da cidadania e do controle social, bem o direito informao e transparncia governamental que subjazem proposta de amplo acesso informao pblica preconizada pela LAI, em razo da mudana de paradigma e do regime de informao a que a LAI conduz. O estudo dos efeitos da LAI no mbito da Cmara teve como marco temporal o perodo de maio a dezembro de 2012. Estima-se que os indicadores desta pesquisa possam contribuir com estudos futuros relacionados com a governana da informao na Cmara.