15,349 research outputs found

    Linking Data Across Universities: An Integrated Video Lectures Dataset

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    This paper presents our work and experience interlinking educational information across universities through the use of Linked Data principles and technologies. More specifically this paper is focused on selecting, extracting, structuring and interlinking information of video lectures produced by 27 different educational institutions. For this purpose, selected information from several websites and YouTube channels have been scraped and structured according to well-known vocabularies, like FOAF 1, or the W3C Ontology for Media Resources 2. To integrate this information, the extracted videos have been categorized under a common classification space, the taxonomy defined by the Open Directory Project 3. An evaluation of this categorization process has been conducted obtaining a 98% degree of coverage and 89% degree of correctness. As a result of this process a new Linked Data dataset has been released containing more than 14,000 video lectures from 27 different institutions and categorized under a common classification scheme

    Enriching ontological user profiles with tagging history for multi-domain recommendations

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    Many advanced recommendation frameworks employ ontologies of various complexities to model individuals and items, providing a mechanism for the expression of user interests and the representation of item attributes. As a result, complex matching techniques can be applied to support individuals in the discovery of items according to explicit and implicit user preferences. Recently, the rapid adoption of Web2.0, and the proliferation of social networking sites, has resulted in more and more users providing an increasing amount of information about themselves that could be exploited for recommendation purposes. However, the unification of personal information with ontologies using the contemporary knowledge representation methods often associated with Web2.0 applications, such as community tagging, is a non-trivial task. In this paper, we propose a method for the unification of tags with ontologies by grounding tags to a shared representation in the form of Wordnet and Wikipedia. We incorporate individuals' tagging history into their ontological profiles by matching tags with ontology concepts. This approach is preliminary evaluated by extending an existing news recommendation system with user tagging histories harvested from popular social networking sites

    Semantic modelling of user interests based on cross-folksonomy analysis

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    The continued increase in Web usage, in particular participation in folksonomies, reveals a trend towards a more dynamic and interactive Web where individuals can organise and share resources. Tagging has emerged as the de-facto standard for the organisation of such resources, providing a versatile and reactive knowledge management mechanism that users find easy to use and understand. It is common nowadays for users to have multiple profiles in various folksonomies, thus distributing their tagging activities. In this paper, we present a method for the automatic consolidation of user profiles across two popular social networking sites, and subsequent semantic modelling of their interests utilising Wikipedia as a multi-domain model. We evaluate how much can be learned from such sites, and in which domains the knowledge acquired is focussed. Results show that far richer interest profiles can be generated for users when multiple tag-clouds are combine

    Are digital natives a myth or reality?: Students’ use of technologies for learning

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    This paper outlines the findings of a study investigating the extent and nature of use of digital technologies by undergraduate students in Social Work and Engineering, in two British universities. The study involved a questionnaire survey of students (n=160) followed by in-depth interviews with students (n=8) and lecturers and support staff (n=8) in both institutions. Firstly, the findings suggest that students use a limited range of technologies for both learning and socialisation. For learning, mainly established ICTs are used- institutional VLE, Google and Wikipedia and mobile phones. Students make limited, recreational use of social technologies such as media sharing tools and social networking sites. Secondly, the findings point to a low level of use of and familiarity with collaborative knowledge creation tools, virtual worlds, personal web publishing, and other emergent social technologies. Thirdly, the study did not find evidence to support the claims regarding students adopting radically different patterns of knowledge creation and sharing suggested by some previous studies. The study shows that students’ attitudes to learning appear to be influenced by the approaches adopted by their lecturers. Far from demanding lecturers change their practice, students appear to conform to fairly traditional pedagogies, albeit with minor uses of technology tools that deliver content. Despite both groups clearly using a rather limited range of technologies for learning, the results point to some age differences, with younger, engineering students making somewhat more active, albeit limited, use of tools than the older ones. The outcomes suggest that although the calls for radical transformations in educational approaches may be legitimate it would be misleading to ground the arguments for such change solely in students’ shifting expectations and patterns of learning and technology use

    Energy Counselling and Modern IT. Drawing on Web 2.0 for a Greener World

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    The aim of this article is to explore how modern IT solutions for collaborative knowledge evolution could lead to more effective energy counselling and increased energy knowledge among the public. Comparative studies have been performed where the focus has been on the prerequisites for effective use of web 2.0 type collaboration and wikis. The research is primarily aimed at actors within the energy sector, although similar developments also take place in other sectors. Targeted investments employing collaborative IT to involve the public in energy counselling could lead to lower energy consumption and an increased consciousness of environmental issues in the society. A conclusion is that web 2.0-like initiatives could play a valuable role in the knowledge development and exchange between energy counsellors, and further the knowledge exchange between the counsellors, the regional energy agencies and the public. They could also help channel an energy interest among the public into a collaborative knowledge production, and contribute to a good quality factual basis for the conceptions that develop in society. This would strengthen both the energy counselling and the energy counsellor corps.communities, sustainability, sector transcendence, energy counselling, web 2.0.

    Web 2.0 technologies for learning: the current landscape – opportunities, challenges and tensions: supplementary materials

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    These supplementary materials accompany the report ‘Web 2.0 technologies for learning: the current landscape – opportunities, challenges and tensions’, which is the first report from research commissioned by Becta into Web 2.0 technologies for learning at Key Stages 3 and 4. This report describes findings from the commissioned literature review of the then current landscape concerning learner use of Web 2.0 technologies and the implications for teachers, schools, local authorities and policy makers
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