173 research outputs found

    Mass customization of teaching and learning in organizations

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    In search of methods that improve the efficiency of teaching and training in organizations, several authors point out that mass customization (MC) is a principle that covers individual needs of knowledge and skills and, at the same time, limits the development costs of customized training to those of mass training. MC is proven and established in the economic sector, and shows high potential for continuing education, too. The paper explores this potential and proposes a multidisciplinary, pragmatic approach to teaching and training in organizations. The first section of the paper formulates four design principles of MC deduced from an examination of economics literature. The second section presents amit™, a frame for mass customized training, designed according to the principles presented in the first section. The evaluation results encourage the further development and use of mass customized training in continuing education, and offer suggestions for future research

    Spatial competition and agglomeration in the visitor attraction sector

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    This paper provides a theoretical and empirical contribution to understanding spatial competition by examining visitor attractions in two contrasting clusters of lower and higher levels of agglomeration of businesses in Cornwall, the UK. The study found that competition is mainly for customers and labour and is related differently to the levels of agglomeration, spatial proximity and thematic product similarity between visitor attractions at the local compared to the regional scale. Location can be used differently for employing ‘weak’ and ‘strong’ competitive strategies. The study contributes to the knowledge on the spatiality of competition and the locational strategies of service businesses

    Probing helium interfaces with light scattering : from fluid mechanics to statistical physics

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    We have investigated the formation of helium droplets in two physical situations. In the first one, droplets are atomised from superfluid or normal liquid by a fast helium vapour flow. In the second, droplets of normal liquid are formed inside porous glasses during the process of helium condensation. The context, aims, and results of these experiments are reviewed, with focus on the specificity of light scattering by helium. In particular, we discuss how, for different reasons, the closeness to unity of the index of refraction of helium allows in both cases to minimise the problem of multiple scattering and obtain results which it would not be possible to get using other fluids.Comment: 21 page

    Deep hanging out in the arts: an anthropological approach to capturing cultural value

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    This article presents the findings of an Arts and Humanities Research Council (AHRC) funded project carried out from September 2013 to March 2014 by five researchers at the University of Leeds (UK), who paired off with five audience-participants and engaged in a process of “deep hanging out” (Geertz 1998) at events curated as part of Leeds’ annual LoveArts festival. As part of AHRC’s Cultural Value project, the overarching aim of the research was to produce a rich, polyvocal, evocative and complex account of cultural value by co-investigating arts engagement with audience-participants. Findings suggested that both the methods and purpose of knowing about cultural value impact significantly on any exploration of cultural experience. Fieldwork culminated in the apparent paradox that we know, and yet still don’t seem to know, the value and impact of the arts. Protracted discussions with the participants suggested that this paradox stemmed from a misplaced focus on knowledge; that instead of striving to understand and rationalize the value of the arts, we should instead aim to feel and experience it. During a process of deep hanging out, our participants revealed the limitations of language in capturing the value of the arts, yet confirmed perceptions of the arts as a vehicle for developing self-identity and -expression and for living a better life. These findings suggest that the Cultural Value debate needs to be reframed from what is currently an interminable epistemological obsession (that seeks to prove and evidence the value of culture) into a more complex phenomenological question, which asks how people experience the arts and culture and why people want to understand its value. This in turn implies a re-conceptualization of the relationships between artists or arts organisations and their publics, based on a more relational form of engagement and on a more anthropological approach to capturing and co-creating cultural value

    Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium

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    Background: Intrusive traumatic re-experiencing domain (ITRED) was recently introduced as a novel perspective on posttraumatic psychopathology, proposing to focus research of posttraumatic stress disorder (PTSD) on the unique symptoms of intrusive and involuntary re-experiencing of the trauma, namely, intrusive memories, nightmares, and flashbacks. The aim of the present study was to explore ITRED from a neural network connectivity perspective. Methods: Data were collected from 9 sites taking part in the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) PTSD Consortium (n = 584) and included itemized PTSD symptom scores and resting-state functional connectivity (rsFC) data. We assessed the utility of rsFC in classifying PTSD, ITRED-only (no PTSD diagnosis), and trauma-exposed (TE)–only (no PTSD or ITRED) groups using a machine learning approach, examining well-known networks implicated in PTSD. A random forest classification model was built on a training set using cross-validation, and the averaged cross-validation model performance for classification was evaluated using the area under the curve. The model was tested using a fully independent portion of the data (test dataset), and the test area under the curve was evaluated. Results: rsFC signatures differentiated TE-only participants from PTSD and ITRED-only participants at about 60% accuracy. Conversely, rsFC signatures did not differentiate PTSD from ITRED-only individuals (45% accuracy). Common features differentiating TE-only participants from PTSD and ITRED-only participants mainly involved default mode network–related pathways. Some unique features, such as connectivity within the frontoparietal network, differentiated TE-only participants from one group (PTSD or ITRED-only) but to a lesser extent from the other group. Conclusions: Neural network connectivity supports ITRED as a novel neurobiologically based approach to classifying posttrauma psychopathology

    The Experience Economy Scenarios

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