18 research outputs found

    Der Einsatz humanoider Roboter in Bibliotheken

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    Humanoide Roboter haben den Sprung aus dem Forschungslabor in unsere Lebenswelt geschafft und begegnen uns vereinzelt in unserem Alltag. Bibliotheken gehörten mit zu den Ersten, die humanoide Roboter beschafften und einsetzten. Gegenstand dieser Masterarbeit ist der Einsatz humanoider Roboter in Bibliotheken, mit dem Ziel eine Bestandaufnahme des Humanoideneinsatzes in Bibliotheken zu leisten. In einer einordnenden Literaturstudie wird auf die Geschichte und den Entwicklungsstand der Robotik und insbesondere der humanoiden Roboter ebenso eingegangen wie auf den Einsatz von Robotern und humanoiden Robotern in Bibliotheken. Der empirische Teil der Arbeit, der auf der Auswertung qualitativer Interviews und von Beobachtungen basiert, befasst sich überwiegend mit dem Einsatz humanoider Roboter in Bibliotheken in Deutschland. Für diese werden sowohl die mit dem Humanoideneinsatz verbundenen Ziele und Einsatzfelder dargestellt als auch die damit verbundenen positiven Effekte sowie Hürden und Herausforderungen. Ferner wird der zukünftige Einsatz von humanoiden Robotern in der einsetzenden Bibliothek selbst sowie im Bibliotheksbereich im Allgemeinen thematisiert. Die Masterarbeit weitet den Blick über die Anwendungsfälle in Deutschland hinaus und rundet das Bild durch ausgewählte internationale Beispiele ab. Abschließend werden Hinweise für eine erfolgreiche Implementierung eines Humanoiden in einer Bibliothek ebenso gegeben wie auch die Sinnhaftigkeit des Einsatzes humanoider Roboter in Bibliotheken diskutiert

    A systematic literature review on the quality of moocs

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    This paper presents the findings from a systematic literature review on the quality of massive open online courses (MOOCs). The main research question was “How can the quality criteria for MOOCs identified in the analysed studies from the systematic literature review be best organ-ised in a categorisation scheme?” The systematic literature review was conducted using the PRISMA procedures. After conducting the screening and eligibility analysis according the pre-defined crite-ria, 103 studies were finally selected. The analysis was done in iterative cycles for continuous im-provements of the assignments and clustering of the quality criteria. The final version was validated in consensus through the categorisation and assignment of all 103 studies in a consistent way to four dimensions (pedagogical, organisational, technological, and social) and their sub-categories. This quality framework can be re-used in future MOOC research and the discussion of the analysed studies provides a current literature overview on the quality of MOOCs

    A Serious Games Development Environment

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    Un ambiente per lo sviluppo di Serious Game

    Serious games for learning : a model and a reference architecture for efficient game development

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    The use of motion-based technology for people living with dementia or mild cognitive impairment: a literature review

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    Background: The number of people living with dementia and mild cognitive impairment (MCI) is increasing substantially. Although there are many research efforts directed toward the prevention and treatment of dementia and MCI, it is also important to learn more about supporting people to live well with dementia or MCI through cognitive, physical, and leisure means. While past research suggests that technology can be used to support positive aging for people with dementia or MCI, the use of motion-based technology has not been thoroughly explored with this population. Objective: The aim of this study was to identify and synthesize the current literature involving the use of motion-based technology for people living with dementia or MCI by identifying themes while noting areas requiring further research. Methods: A systematic review of studies involving the use of motion-based technology for human participants living with dementia or MCI was conducted. Results: A total of 31 articles met the inclusion criteria. Five questions are addressed concerning (1) context of use; (2) population included (ie, dementia, MCI, or both); (3) hardware and software selection; (4) use of motion-based technology in a group or individual setting; and (5) details about the introduction, teaching, and support methods applied when using the motion-based technology with people living with dementia or MCI. Conclusions: The findings of this review confirm the potential of motion-based technology to improve the lives of people living with dementia or MCI. The use of this technology also spans across several contexts including cognitive, physical, and leisure; all of which support multidimensional well-being. The literature provides evidence that people living with dementia or MCI can learn how to use this technology and that they enjoy doing so. However, there is a lack of information provided in the literature regarding the introduction, training, and support methods applied when using this form of technology with this population. Future research should address the appropriate introduction, teaching, and support required for people living with dementia or MCI to use the motion-based technology. In addition, it is recommended that the diverse needs of these specific end-users be considered in the design and development of this technology

    Serious games for learning : a model and a reference architecture for efficient game development

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    Application of fuzzy sets in data-to-text system

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    This PhD dissertation addresses the convergence of two distinct paradigms: fuzzy sets and natural language generation. The object of study is the integration of fuzzy set-derived techniques that model imprecision and uncertainty in human language into systems that generate textual information from numeric data, commonly known as data-to-text systems. This dissertation covers an extensive state of the art review, potential convergence points, two real data-to-text applications that integrate fuzzy sets (in the meteorology and learning analytics domains), and a model that encompasses the most relevant elements in the linguistic description of data discipline and provides a framework for building and integrating fuzzy set-based approaches into natural language generation/data-to-ext systems
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