3 research outputs found

    A Learning Ecosystem for Linemen Training based on Big Data Components and Learning Analytics

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    Linemen training is mandatory, complex, and hazardous. Electronic technologies, such as virtual reality or learning management systems, have been used to improve such training, however these lack of interoperability, scalability, and do not exploit trace data generated by users in these systems. In this paper we present our ongoing work on developing a Learning Ecosystem for Training Linemen in Maintenance Maneuvers using the Experience API standard, Big Data components, and Learning Analytics. The paper describes the architecture of the ecosystem, elaborates on collecting learning experiences and emotional states, and applies analytics for the exploitation of both, legacy and new data. In the former, we exploit legacy e-Learning data for building a Domain model using Text Mining and unsupervised clustering algorithms. In the latter we explore self-reports capabilities for gathering educational support content, and assessing students emotional states. Results show that, a suitable domain model for personalizing maneuvers linemen training path can be built from legacy text data straightforwardly. Regarding self reports, promising results were obtained for tracking emotional states and collecting educational support material, nevertheless, more work around linemen training is required

    Experiencias innovadoras educativas

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    Within this book -first of the collection Digital coordinates in education-, various innovative educational experiences of ICT in the field of the ies are provided, which propose as a starting point "The new role of the researcher in the positioning of open access of scientific information.

    Experiencias innovadoras educativas

    Get PDF
    Within this book -first of the collection Digital coordinates in education-, various innovative educational experiences of ICT in the field of the ies are provided, which propose as a starting point "The new role of the researcher in the positioning of open access of scientific information.
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