Hernández Leo, DaviniaMartínez-Maldonado, RobertoPardo, AbelardoMuñoz Cristóbal, Juan AlbertoRodríguez-Triana, María Jesús2018-09-102018Hernández‐Leo D, Martinez‐Maldonado R, Pardo A, Muñoz‐Cristóbal JA, Rodríguez‐Triana MJ. Analytics for learning design: a layered framework and tools. Br J Educ Technol. 2018 Jul 18;50(1):139-52. DOI: 10.1111/bjet.126450007-1013http://hdl.handle.net/10230/35435The 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 (AL4LD) 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.application/pdfengThis is the peer reviewed version of the following article: Hernández‐Leo D, Martinez‐Maldonado R, Pardo A, Muñoz‐Cristóbal JA, Rodríguez‐Triana MJ. Analytics for learning design: A layered framework and tools. Br J Educ Technol. 2018 Jul 18;50(1):139-52. DOI: 10.1111/bjet.12645, which has been published in final form at https://dx.doi.org/10.1111/bjet.12645 This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.info:eu-repo/semantics/articlehttp://dx.doi.org/10.1111/bjet.12645Learning analyticsLearning designFrameworkToolsinfo:eu-repo/semantics/openAccess