154 resultados para Xikuangshan antimony deposit.
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CAMEL is short for Collaborative Approaches to the Management of e-Learning and was a project funded by the HEFCE Leadership, Governance and Management programme. It set out to explore how institutions who were making effective use of e-learning and who were collaborating in regional lifelong learning partnerships might be able to learn from each other in a Community of Practice based around study visits to each of the partner institutions. This short publication highlights some of the things CAMEL participants found out about e-learning and about each other.
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This publication summarises the outcomes of that work which was funded by the JISC Learning and Teaching Committee through its e-Learning Programme. The result is, we believe, a celebration of the diversity in the sector and shows the effectiveness of a range of approaches. Most importantly it shows that it is possible to address the thorny question of defining tangible benefits.
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This publication captures the outputs of an event organised by JISC infoNet, the Association for Learning Technology (ALT) and the JISC, held in February 2005 at the Orange Studio in Birmingham. The event was entitled ‘IT Won’t Work Here’ and it aimed to explore what is required to make Lifelong Learning a reality. The title was a play on words indicating both the need to overcome a range of negative attitudes and for the ALT and JISC communities to focus on more than simply the technology required to support learners moving across the different education sectors.
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This publication captures the outputs of a JISC infoNet conference held in February 2004 in the Royal York Hotel, York. The event was entitled ‘When Worlds Collide’ because it aimed to explore the cultural differences between the different communities involved in developing and supporting learning environments hence the event was promoted in collaboration with ALT and UCISA. We defined learning environment in the broadest sense to encompass all of the structures, systems and processes that impact on the learning experience. For many this is summed up in the term Managed Learning Environment (MLE) although others favour alternative terminologies. The event was thus unusual in that it brought together people, from learning and teaching, MIS, library, administrative and senior management backgrounds, that don’t often get the opportunity to network with one another.
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Marketing materials
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The DADAISM project brings together researchers from the diverse fields of archaeology, human computer interaction, image processing, image search and retrieval, and text mining to create a rich interactive system to address the problems of researchers finding images relevant to their research. In the age of digital photography, thousands of images are taken of archaeological artefacts. These images could help archaeologists enormously in their tasks of classification and identification if they could be related to one another effectively. They would yield many new insights on a range of archaeological problems. However, these images are currently greatly underutilized for two key reasons. Firstly, the current paradigm for interaction with image collections is basic keyword search or, at best, simple faceted search. Secondly, even if these interactions are possible, the metadata related to the majority of images of archaeological artefacts is scarce in information relating to the content of the image and the nature of the artefact, and is time intensive to enter manually. DADAISM will transform the way in which archaeologists interact with online image collections. It will deploy user-centred design methodologies to create an interactive system that goes well beyond current systems for working with images, and will support archaeologists’ tasks of finding, organising, relating and labelling images as well as other relevant sources of information such as grey literature documents.
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Social scientists have used agent-based models (ABMs) to explore the interaction and feedbacks among social agents and their environments. The bottom-up structure of ABMs enables simulation and investigation of complex systems and their emergent behaviour with a high level of detail; however the stochastic nature and potential combinations of parameters of such models create large non-linear multidimensional “big data,” which are difficult to analyze using traditional statistical methods. Our proposed project seeks to address this challenge by developing algorithms and web-based analysis and visualization tools that provide automated means of discovering complex relationships among variables. The tools will enable modellers to easily manage, analyze, visualize, and compare their output data, and will provide stakeholders, policy makers and the general public with intuitive web interfaces to explore, interact with and provide feedback on otherwise difficult-to-understand models.
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This an implementation manual for institutions wanting to implement XCRI-CAP for PG courses and send feeds to Prospects
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This is a set of questions that institutions can use to guide them through things they need to consider before they implement the HEAR in order to assess their readiness and the resources they will need for a successful implementation