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    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/24895

    Título
    Toward multimodal analytics in ubiquitous learning environments
    Otros títulos
    International Conference on Learning Analytics & Knowledge (7º. 2017. Vancouver, Canada)
    Multimodal Learning Analytics Workshop (6º. 2017. Vancouver, Canada)
    Autor
    Muñoz Cristobal, Juan AlbertoAutoridad UVA Orcid
    Rodríguez Triana, María JesúsAutoridad UVA Orcid
    Bote Lorenzo, Miguel LuisAutoridad UVA Orcid
    Villagrá Sobrino, Sara LorenaAutoridad UVA Orcid
    Asensio Pérez, Juan IgnacioAutoridad UVA Orcid
    Martínez Monés, AlejandraAutoridad UVA
    Congreso
    LAK 2017: International Conference on Learning Analytics & Knowledge (7º. 2017. Vancouver, Canada)
    Año del Documento
    2017
    Editorial
    Association for Computing Machinery (ACM)
    Descripción
    Producción Científica
    Documento Fuente
    Muñoz-Cristóbal, J.A., Rodríguez-Triana, M.J., Bote-Lorenzo, M.L., Villagrá-Sobrino, S.L., Asensio-Pérez, J.I., Martínez-Monés, A. Toward Multimodal Analytics in Ubiquitous Learning Environments. Proceedings of the Sixth Multimodal Learning Analytics Workshop at the International Learning Analytics and Knowledge Conference, LAK 2017, Vancouver, Canada, March 2017
    Abstract
    While Ubiquitous Learning Environments (ULEs) have shown several benefits for learning, they pose challenges for orchestration. Teachers need to be aware of the learning process, which is difficult to achieve when it occurs across a heterogeneous set of spaces, resources and devices. In addition, ULEs can benefit from multimodal analyses due to the heterogeneity of the data sources available (e.g., logs, geolocation, sensor information, learning artifacts). In previous works, we proposed an orchestration system with some analytics features that can gather multimodal datasets during the learning process. Based on this experience, in this paper we describe the technological support provided by the system to collect data from multiple spaces and sources as well as the structure of the generated dataset. We also reflect about the challenges of multimodal learning analytics (MMLA) in ULEs, and we pose some ideas about how the system could better support MMLA in the future to mitigate those challenges.
    Palabras Clave
    Aprendizaje ubicuo
    Patrocinador
    Ministerio de Economía, Industria y Competitividad (Project TIN2014-53199-C3-2-R)
    Junta de Castilla y León (programa de apoyo a proyectos de investigación - Ref. VA082U16)
    Patrocinador
    info:eu-repo/grantAgreement/EC/H2020/731685
    info:eu-repo/grantAgreement/EC/H2020/669074
    Version del Editor
    http://lak17.solaresearch.org
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/24895
    Derechos
    openAccess
    Aparece en las colecciones
    • DEP71 - Comunicaciones a congresos, conferencias, etc. [127]
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    Toward-multimodal-37659_paper-09.pdf
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    Attribution-NonCommercial-NoDerivatives 4.0 InternationalLa licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International

    Universidad de Valladolid

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