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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/83189

    Título
    Orchestration Load Indicators and Patterns: In-the-Wild Studies Using Mobile Eye-Tracking
    Autor
    Prieto, Luis P.
    Sharma, Kshitij
    Kidzinski, Lukasz
    Dillenbourg, Pierre
    Año del Documento
    2018
    Editorial
    IEEE
    Descripción
    Producción Científica
    Documento Fuente
    IEEE Transactions on Learning Technologies, vol. 11, no. 2, pp. 216-229
    Abstract
    Orchestration load is the effort a teacher spends in coordinating multiple activities and learning processes. It has been proposed as a construct to evaluate the usability of learning technologies at the classroom level, in the same way that cognitive load is used as a measure of usability at the individual level. However, so far this notion has remained abstract. In order to ground orchestration load in empirical evidence and study it in a more systematic and detailed manner, we propose a method to quantify it, based on physiological data (concretely, mobile eye-tracking measures), along with human-coded behavioral data. This paper presents the results of applying this method to four exploratory case studies, where four teachers orchestrated technology-enhanced face-to-face lessons with primary, secondary school, and university students. The data from these studies provide a first validation of this method in different conditions, and illustrate how it can be used to understand the effect of different classroom factors on orchestration load. From these studies, we also extract empirical insights about classroom orchestration using technology.
    Palabras Clave
    Orchestration
    orchestration load
    eye-tracking
    cognitive load
    classroom studies
    Revisión por pares
    SI
    DOI
    10.1109/TLT.2017.2690687
    Patrocinador
    This research was supported by a Marie Curie Fellowship within the 7th European Community Framework Programme (MIOCTI, FP7-PEOPLE-2012-IEF project no. 327384).
    Version del Editor
    https://ieeexplore.ieee.org/abstract/document/7891939/
    Propietario de los Derechos
    IEEE Xplore
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/83189
    Tipo de versión
    info:eu-repo/semantics/acceptedVersion
    Derechos
    openAccess
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    • DEP71 - Artículos de revista [409]
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    Universidad de Valladolid

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