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Por favor, use este identificador para citar o enlazar este ítem: http://uvadoc.uva.es/handle/10324/31426
Título: Analytics for learning design: A layered framework and tools
Autor: Hernández Leo, Davinia
Martínez Maldonado, Roberto
Pardo, Abelardo
Muñoz Cristóbal, Juan Alberto
Rodríguez Triana, María Jesús
Año del Documento: 2018
Editorial: Wiley
Descripción: Producción Científica
Documento Fuente: British Journal of Educational Technology, 2018 (in press)
Resumen: The field of learning design studies how to support teachers in devising suitable activities for their students to learn. The field of learning analytics explores how data about students' interactions can be used to increase the understanding of learning experiences. Despite its clear synergy, there is only limited and fragmented work exploring the active role that data analytics can play in supporting design for learning. This paper builds on previous research to propose a framework (analytics layers for learning design) that articulates three layers of data analytics—learning analytics, design analytics and community analytics—to support informed decision‐making in learning design. Additionally, a set of tools and experiences are described to illustrate how the different data analytics perspectives proposed by the framework can support learning design processes.
Palabras Clave: Aprendizaje
ISSN: 0007-1013
Revisión por Pares: SI
DOI: https://doi.org/10.1111/bjet.12645
Patrocinador: Ministerio de Economía, Industria y Competitividad (Projects TIN2014-53199-C3-2-R, TIN2014-53199-C3-3-R, TIN2017-85179-C3-2-R, TIN2017-85179-C3-3-R, MDM-2015- 0502)
Junta de Castilla y León (programa de apoyo a proyectos de investigación - Ref. VA082U16)
European Commission (Proyect 588438-EPP-1-2017-1-EL-EPPKA2-KA)
Version del Editor: https://onlinelibrary.wiley.com/doi/abs/10.1111/bjet.12645
Idioma: eng
URI: http://uvadoc.uva.es/handle/10324/31426
Derechos: info:eu-repo/semantics/openAccess
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