233,306 research outputs found

    Mapping Big Data into Knowledge Space with Cognitive Cyber-Infrastructure

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    Big data research has attracted great attention in science, technology, industry and society. It is developing with the evolving scientific paradigm, the fourth industrial revolution, and the transformational innovation of technologies. However, its nature and fundamental challenge have not been recognized, and its own methodology has not been formed. This paper explores and answers the following questions: What is big data? What are the basic methods for representing, managing and analyzing big data? What is the relationship between big data and knowledge? Can we find a mapping from big data into knowledge space? What kind of infrastructure is required to support not only big data management and analysis but also knowledge discovery, sharing and management? What is the relationship between big data and science paradigm? What is the nature and fundamental challenge of big data computing? A multi-dimensional perspective is presented toward a methodology of big data computing.Comment: 59 page

    A review of the state of the art in Machine Learning on the Semantic Web: Technical Report CSTR-05-003

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    ImpaCT2: learning at home and school: case studies

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    Strand 3 explored the nature of teaching and learning involving ICT in various settings, with a focus on the views of pupils, teachers, and parents. Working in 15 of the 60 schools selected for Strands 1 and 2, this project focused on: learning and teaching environments; learning and teaching styles; and the impact of networked technologies on the perceptions of teachers, managers, pupils and parents. ImpaCT2 was a major longitudinal study (1999-2002) involving 60 schools in England, its aims were to: identify the impact of networked technologies on the school and out-of-school environment; determine whether or not this impact affected the educational attainment of pupils aged 8 - 16 years (at Key Stages 2, 3, and 4); and provide information that would assist in the formation of national, local and school policies on the deployment of ICT

    Models of technology and change in higher education: an international comparative survey on the current and future use of ICT in higher education

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    The aim of this study is to investigate which scenarios are emerging with respect to the use of ICT in higher education and how future developments can be predicted and strategic choices can be based on that. It seeks to answer the following questions:\ud What strategic responses do institutions make with respect to the use of ICT; Which external conditions and developments influence these choices; Which external and internal conditions and measures are taken in order to achievestrategic targets; What are the implications for technology use, teaching and learning processes and staff? \ud The study applies an international comparative methodology and is carried out in the Netherlands, Germany, Norway, the United Kingdom, Australia, Finland and the USA. Data were collected through Web-based questionnaires tailored to three different response groups: decision makers, support staff and instructors. In total 693 persons responded to the questionnaire. This implies that between 20 and 50 percent of the institutions in the various countries responded (institutional data were also gathered), with the exception of the USA where the response was much lower
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