scispace - formally typeset
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
More filters
Journal ArticleDOI

Enhancing consent forms to support participant decision making in multimodal learning data research

TL;DR: This study introduces an informed consent comprehension test for educational technology research and assesses the effects of enhancing MMLA consent forms on comprehension of informed consent and on rates of enrollment in a M MLA study.
Book ChapterDOI

Concept-Level Design Analytics for Blended Courses

TL;DR: This paper introduces concept-level design analytics, a knowledge-based visualization, which uncovers facets of the learning activities that are being authored in a (blended) learning design authoring tool, edCrumble.
Proceedings ArticleDOI

Considering the Intrinsic Constraints for Groups Management of TAPPS and Jigsaw CLFPs

TL;DR: A flexible solution for supporting teachers in the group organization and adaptation profiting from the intrinsic constraints defined by a CLFPs codified in IMS Learning Design is proposed.
Proceedings ArticleDOI

Towards embedding assessment in CSCL scripts through selection and assembly of learning and assessment patterns

TL;DR: This paper discusses how to support the combination of patterns of different nature in CSCL script design, focusing on the joint application of patterns, and describes an evaluation of the proposed approach.
Proceedings ArticleDOI

InstanceCollage: A Graphical Tool for the Particularization of Role/Group Structures in Pattern-Based IMS-LD Collaborative Scripts

TL;DR: A software tool is presented that implements a pattern-based approach, which has been previously validated for the task of script design, that aims at facilitating the population of roles and groups generally described in IMS-LD scripts.