95,039 research outputs found

    A Curriculum for Excellence: a review of approaches to recognising wider achievement

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    The is the report of work undertaken by the Quality in Education Centre of the University of Strathclyde on behalf of Learning and Teaching Scotland into Recognising WiderAchievements of young people both in and out of school.Desk research and empirical research were undertaken in January and February 2007. This short timescale inevitably limited the extent of the work undertaken. The views ofstakeholders were sought through interviews and questionnaires. Definitions of wider achievement have been emerging in the UK since four key areaswere identified by the DfES (DfES, 1984). These were recognised in 'National Records of Achievement' and included recognition of achievement (exams and other activities), motivation and personal development, curriculum organisation, and a document of recordthat is 'recognised and valued'. Further policy development in the 1990s and into this century raised further issues including the range of activities and variation in types oflearning, equity of access to opportunities, and challenges of assessment

    Offshore education : offshore education in the wider context of internationalisation and ICT: experiences and examples from Dutch higher education

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    This report presents a study on offshore education conducted by a consortium of Dutch higher education researchers and commissioned by the Digital University (DU). The study explored the extent to which Dutch higher education institutions are involved in offering their educational services abroad (offshore education). After thoroughly embedding offshore education in the wider contexts of internationalisation and ICT policies, the study particularly explores the practical experiences with a number of real-life offshore activities of Dutch higher education. As a warm-up to this report, a few interesting cases are briefly touched upon below

    The evolving landscape of learning technology

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    This paper provides an overview of the current and emerging issues in learning technology research, concentrating on structural issues such as infrastructure, policy and organizational context. It updates the vision of technology outlined by Squires’ (1999) concept of peripatetic electronic teachers (PETs) where Information and Communication Technologies (ICT) provide an enabling medium to allow teachers to act as freelance agents in a virtual world and reflects to what extent this vision has been realized The paper begins with a survey of some of the key areas of ICT development and provides a contextualizing framework for the area in terms of external agendas and policy drivers. It then focuses upon learning technology developments which have occurred in the last five years in the UK and offers a number of alternative taxonomies to describe this. The paper concludes with a discussion of the issues which arise from this work

    Digital Image Access & Retrieval

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    The 33th Annual Clinic on Library Applications of Data Processing, held at the University of Illinois at Urbana-Champaign in March of 1996, addressed the theme of "Digital Image Access & Retrieval." The papers from this conference cover a wide range of topics concerning digital imaging technology for visual resource collections. Papers covered three general areas: (1) systems, planning, and implementation; (2) automatic and semi-automatic indexing; and (3) preservation with the bulk of the conference focusing on indexing and retrieval.published or submitted for publicatio

    PEA265: Perceptual Assessment of Video Compression Artifacts

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    The most widely used video encoders share a common hybrid coding framework that includes block-based motion estimation/compensation and block-based transform coding. Despite their high coding efficiency, the encoded videos often exhibit visually annoying artifacts, denoted as Perceivable Encoding Artifacts (PEAs), which significantly degrade the visual Qualityof- Experience (QoE) of end users. To monitor and improve visual QoE, it is crucial to develop subjective and objective measures that can identify and quantify various types of PEAs. In this work, we make the first attempt to build a large-scale subjectlabelled database composed of H.265/HEVC compressed videos containing various PEAs. The database, namely the PEA265 database, includes 4 types of spatial PEAs (i.e. blurring, blocking, ringing and color bleeding) and 2 types of temporal PEAs (i.e. flickering and floating). Each containing at least 60,000 image or video patches with positive and negative labels. To objectively identify these PEAs, we train Convolutional Neural Networks (CNNs) using the PEA265 database. It appears that state-of-theart ResNeXt is capable of identifying each type of PEAs with high accuracy. Furthermore, we define PEA pattern and PEA intensity measures to quantify PEA levels of compressed video sequence. We believe that the PEA265 database and our findings will benefit the future development of video quality assessment methods and perceptually motivated video encoders.Comment: 10 pages,15 figures,4 table

    Modern languages: achievement and challenge 2007-2010

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