27,592 research outputs found

    The OU Linked Open Data: production and consumption

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    The aim of this paper is to introduce the current efforts toward the release and exploitation of The Open University's (OU) Linked Open Data (LOD). We introduce the work that has been done within the LUCERO project in order to select, extract and structure subsets of information contained within the OU data sources and migrate and expose this information as part of the LOD cloud. To show the potential of such exposure we also introduce three different prototypes that exploit this new educational resource: (1) the OU expert search system, a tool focused on fnding the best experts for a certain topic within the OU staff; (2) the Buddy Study system, a tool that relies on Facebook information to identify common interest among friends and recommend potential courses within the OU that `buddies' can study together, and; (3) Linked OpenLearn, an application that enables exploring linked courses, Podcasts and tags to OpenLearn units. Its aim is to enhance the browsing experience for students, by detecting relevant educational resources on fly while reading an OpenLearn unit

    Young people and the evaluation of information on the World Wide Web: Principles, practice and beliefs

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    A recurrent theme in LIS literature is the tendency of young people not to evaluate rigorously the information with which they come into contact. Although many information literacy models stress the need to take a critical approach, the reality of behaviour is often very different. Recent research conducted in an English high school has explored the importance that teenagers attach to ten particular evaluative criteria. 149 youngsters contributed data via an online questionnaire. Participants felt that information on the Web should be current/topical, free from spelling and grammatical errors and easily verifiable elsewhere but authorship was much less of a priority to them. The findings are likely to be of special relevance to information literacy teachers who are defining priorities for their own programmes

    Discovery Is Never By Chance: Designing for (Un)Serendipity

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    Serendipity has a long tradition in the history of science as having played a key role in many significant discoveries. Computer scientists, valuing the role of serendipity in discovery, have attempted to design systems that encourage serendipity. However, that research has focused primarily on only one aspect of serendipity: that of chance encounters. In reality, for serendipity to be valuable chance encounters must be synthesized into insight. In this paper we show, through a formal consideration of serendipity and analysis of how various systems have seized on attributes of interpreting serendipity, that there is a richer space for design to support serendipitous creativity, innovation and discovery than has been tapped to date. We discuss how ideas might be encoded to be shared or discovered by ā€˜association-huntingā€™ agents. We propose considering not only the inventorā€™s role in perceiving serendipity, but also how that inventorā€™s perception may be enhanced to increase the opportunity for serendipity. We explore the role of environment and how we can better enable serendipitous discoveries to find a home more readily and immediately
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