D
Davinia Hernández-Leo
Researcher at Pompeu Fabra University
Publications - 230
Citations - 3024
Davinia Hernández-Leo is an academic researcher from Pompeu Fabra University. The author has contributed to research in topics: Collaborative learning & Educational technology. The author has an hindex of 28, co-authored 201 publications receiving 2563 citations. Previous affiliations of Davinia Hernández-Leo include Information Technology University & University of Valladolid.
Papers
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Journal Article
COLLAGE: A Collaborative Learning Design Editor Based on Patterns
Davinia Hernández-Leo,Eloy D. Villasclaras-Fernández,Juan I. Asensio-Pérez,Yannis Dimitriadis,Iván M. Jorrín-Abellán,Inés Ruiz-Requies,Bartolomé Rubia-Avi +6 more
TL;DR: PD poses a new requirement that CSCL developers should tackle: how to obtain technological solutions for collaborative learning capable of being particularized/customized by practitioners that usually do not have technological skills.
Journal Article
Computational Representation of Collaborative Learning Flow Patterns Using IMS Learning Design
TL;DR: An extension to IMS-LD is proposed that enables to specify several characteristics of the use of tools that mediate collaboration and in order to obtain a Unit of Learning based on a CLFP, a three stage process is proposed.
Journal ArticleDOI
Web Collage: An implementation of support for assessment design in CSCL macro-scripts
Eloy D. Villasclaras-Fernández,Davinia Hernández-Leo,Juan I. Asensio-Pérez,Yannis Dimitriadis +3 more
TL;DR: The paper describes the design process that Web Collage promotes, as well as the way the tool supports the interrelation of learning and assessment aspects of a script, which is intended for non-expert designers, as teachers without CL experience.
BookDOI
Scaling up Learning for Sustained Impact
TL;DR: This paper analyses the impact of two builtin (Q&A and forum) and three external social tools (Facebook, Twitter and MentorMob) in a MOOC on educational technologies and summarized the lessons learned so that others may benefit from them.
Journal ArticleDOI
Analytics for Learning Design: A Layered Framework and Tools.
Davinia Hernández-Leo,Roberto Martinez-Maldonado,Abelardo Pardo,Juan Alberto Muñoz-Cristóbal,María Jesús Rodríguez-Triana +4 more
TL;DR: A framework (analytics layers for learning design) is proposed that articulates three layers of data analytics—learning analytics, design analytics and community analytics—to support informed decision‐making in learning design.