- Innovative Teaching and Learning Methods
- Online Learning and Analytics
- E-Learning and Knowledge Management
- Online and Blended Learning
- Open Education and E-Learning
- Mobile Learning in Education
- Education and Technology Integration
- Gaze Tracking and Assistive Technology
- Intelligent Tutoring Systems and Adaptive Learning
- Augmented Reality Applications
- Virtual Reality Applications and Impacts
- ICT in Developing Communities
- Visual and Cognitive Learning Processes
- Experimental Learning in Engineering
- Interactive and Immersive Displays
- Speech and dialogue systems
- Distributed and Parallel Computing Systems
- Educational Assessment and Improvement
- Software System Performance and Reliability
- Teacher Education and Leadership Studies
- Impact of Technology on Adolescents
- Cardiac Health and Mental Health
- Healthcare professionals’ stress and burnout
- Design Education and Practice
- Tactile and Sensory Interactions
Universidad de Valladolid
2011-2025
Tallinn University
2017-2023
Universidad de Cantabria
2021-2023
Universität für Weiterbildung Krems
2023
École Polytechnique Fédérale de Lausanne
2014-2018
Monash University
2018
University of Technology Sydney
2018
Università degli Studi eCampus
2017
Telefonica Research and Development
2007-2008
This paper presents a systematic literature review of the state-of-the-art research on learning dashboards in fields Learning Analytics and Educational Data Mining. Research aims to identify what data is meaningful different stakeholders how can be presented support sense-making processes. are becoming popular due increased use educational technologies, such as Management Systems (LMS) Massive Open Online Courses (MOOCs). The initial search five main academic databases GScholar resulted 346...
During the last decades, educational contexts have transformed into complex technological and social ecologies, with mobile devices expanding scope of education beyond traditional classroom, creating so-called Ubiquitous Learning Environments (ULEs). However, these new opportunities entail an additional burden for teachers, who need to manage coordinate resources involved in such scenarios a process known as "orchestration". This paper presents evaluation orchestration support provided by...
The pedagogical modelling of everyday classroom practice is an interesting kind evidence, both for educational research and teachers' own professional development. This paper explores the usage wearable sensors machine learning techniques to automatically extract orchestration graphs (teaching activities their social plane over time), on a dataset 12 sessions enacted by two different teachers in settings. included mobile eye-tracking as well audiovisual accelerometry data from worn teacher....
'Teaching analytics' is the application of learning analytics techniques to understand teaching and processes, eventually enable supportive interventions. However, in case (often, half-improvised) face-to-face classrooms, such interventions would require first an understanding what teacher actually did, as starting point for reflection inquiry. Currently, enactment characterization requires costly manual coding by researchers. This paper presents a study exploring potential machine...
Despite the recent surge of interest in learning analytics (LA), their adoption everyday classroom practice is still slow. Knowledge gaps and lack inter-stakeholder communication (particularly with educational practitioners) have been posited as critical factors for previous LA failures. Yet, what issues should researchers, practitioners other actors communicate about, when considering an innovation a particular context? We reviewed synthesised existing literature on four focus areas related...
Orchestrating collaborative learning (CL) is difficult for teachers as it involves being aware of multiple simultaneous classroom events and intervening when needed. Artificial intelligence (AI) technology might support the teachers’ pedagogical actions during CL by helping detect students in need providing suggestions intervention. This would be resulting AI teacher co-orchestrating CL; effectiveness which, however, still question. study explores whether having an assistant orchestrating a...
Learning design tools aim at supporting practitioners in their task of creating more innovative and effective computer-supported learning situations. Despite there is a myriad proposed tools, use presents challenges that recent studies link with practitioners' varied pedagogical approaches context restrictions, as well barriers to practical application derived from the fact most only cover limited functionality do not support cooperation between practitioners. In this paper we investigate...
In blended learning scenarios, evidence needs to be gathered from digital and physical spaces obtain a more complete view of the teaching processes. However, these scenarios are highly heterogeneous, varying data sources available in each particular context can condition accuracy, relevance, interpretability actionability Learning Analytics (LA) solutions, affecting also user's sense agency trust such solutions. To aid stakeholders making use analytics, we propose process involve teachers...
Abstract Social practices are assumed to play an important role in the evolution of new teaching and learning methods. Teachers internalize knowledge developed their communities through interactions with peers experts while solving problems or co-creating materials. However, these social influence on teachers’ adoption pedagogical notoriously hard study, given implicit informal nature. In this paper, we apply Knowledge Appropriation Model (KAM) trace how different relate implementation...
Orchestration load is the effort a teacher spends in coordinating multiple activities and learning processes. It has been proposed as construct to evaluate usability of technologies at classroom level, same way that cognitive used measure individual level. However, so far this notion remained abstract. In order ground orchestration empirical evidence study it more systematic detailed manner, we propose method quantify it, based on physiological data (concretely, mobile eye-tracking...
Research on learning dashboards aims to identify what data is meaningful different stakeholders in education, and how can be presented support sense-making processes. This paper summarizes the main outcomes of a systematic literature review dashboards, fields Learning Analytics Educational Data Mining. The query was run five academic databases enriched with papers coming from GScholar, resulting 346 out which 55 were included final analysis. Our distinguishes kinds research studies as well...
The term ‘orchestrating learning’ is being used increasingly often, referring to the coordination activities performed while applying learning technologies authentic settings. However, there little consensus about how this notion should be conceptualised, and what aspects it entails. In paper, a conceptual framework for orchestration-related research evaluated by an international panel of technology experts. results evaluation show that complete understandable, particularly useful as...
Improving educational practice through reflection is one important focus of teacher professional development approaches. However, such operates under practical classroom constraints that make it happen infrequently, including the reliance on disruptive peer/supervisor observations or recordings. This article describes three design-based research iterations towards technological support for based everyday evidence and feedback. The authors collaborated with 16 teachers from two different...
With the wide availability of mobile devices and growing interest in social media, numerous applications have emerged to support student engagement classroom. There is conflicting evidence, however, on whether benefits such outweigh their potential cost as a source disaffection. To investigate these issues, this article presents case study usage media app (SpeakUp) during semester-long face-to-face university course, its relations with context learning outcomes. In mixed-methods study, we...
Multimodal learning analytics (MMLA) research for building collaboration quality estimation models has shown significant progress. However, the generalizability of such is seldom addressed. In this paper, we address gap by systematically evaluating across-context developed using a typical MMLA pipeline. This paper further presents methodology to explore modelling pipelines with different configurations improve model. We collected 11 multimodal datasets (audio and log data) from face-to-face...