Laia Albó

dblp:182/1465 · DBLP profile ↗
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10ranked-venue papers
9as first author
4since 2021 · last 2024
0000-0002-7568-9178ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 10 · 9 first-author · 4 since 2021Applied, interdisciplinary, general and emerging computing · 9 · 8 first-author · 4 since 2021
YearPublicationVenuePosition
2024 FLeD Learning Design Tool: Scaffolding Flexible Scenarios Through the Use of Flipped Learning Patterns
Laia Albó, Ingrid Noguera, Davinia Hernández Leo, Ana Paula Afonso 0003, Daniele Agostini, Shatha N. Alkhasawneh
EC-TEL (2)1
2023 Teacher Professional Development to Help Students Manage Stress: Barriers and Enablers
Laia Albó, Marc Beardsley
EC-TEL1
2023 A Teacher Professional Development Tool for Creating and Sharing Research Lessons on Evidence-Based Teaching Strategies
Marc Beardsley, Laia Albó, Davinia Hernández Leo
EC-TEL2
2021 Including Students' Voices in the Design of Blended Learning Lesson Plans
Laia Albó, Nayia Stylianidou, Xenofon Chalatsis, Max Dieckmann, Davinia Hernández Leo
EC-TEL1
2020 Emergency Remote Teaching: Capturing Teacher Experiences in Spain with SELFIE
Laia Albó, Marc Beardsley, Judit Martínez-Moreno, Patricia Santos 0001, Davinia Hernández Leo
EC-TEL1
2020 Individual versus computer-supported collaborative self-explanations: how do their writing analytics differ?
abstract
Researchers have demonstrated the effectiveness of self-explanations (SE) as an instructional practice and study strategy. However, there is a lack of work studying the characteristics of SE responses prompted by collaborative activities. In this paper, we use writing analytics to investigate differences between SE text responses resulting from individual versus collaborative learning activities. A Coh-Metrix analysis suggests that students in the collaborative SE activity demonstrated a higher level of comprehension. Future research should explore how writing analytics can be incorporated into CSCL systems to support student performance of SE activities.
Laia Albó, Marc Beardsley, Ishari Amarasinghe, Davinia Hernández Leo
ICALT1
2019 Concept-Level Design Analytics for Blended Courses
Laia Albó, Jordan Barria-Pineda, Peter Brusilovsky, Davinia Hernández Leo
EC-TEL1
2019 Smartphones or laptops in the collaborative classroom? A study of video-based learning in higher education
abstract
This paper explores how the use of smartphones vs. laptops influences students’ engagement, behaviour and experience watching academic videos in a collaborative classroom. Experiments were run in authentic teaching sessions with a total of 483 first-year higher education students. The methodology applied is a quasi-experimental design with post-test-only, being the independent variable, the device used to visualise the academic videos. Results indicate that the use of laptops has provided better results in terms of student’s engagement with the videos, their collaborative behaviour and satisfaction with the device. Hence, the findings of this research suggest that the type of mobile device used in activities that consider the use of videos in a collaborative class need to be carefully chosen to maximise the student’s comfortability – and in consequence, their engagement with the video-based learning activity and their positive behaviour and experience within the collaborative context.
Laia Albó, Davinia Hernández Leo, Verónica Moreno Oliver
Behav. Inf. Technol.1
2018 Identifying Design Principles for Learning Design Tools: The Case of edCrumble
Laia Albó, Davinia Hernández Leo
EC-TEL1
2018 edCrumble: Designing for Learning with Data Analytics
Laia Albó, Davinia Hernández Leo
EC-TEL1