Dans notre galerie, vous trouverez des projets de recherche et des projets pratiques réalisés dans le cadre de BeLEARN, ainsi que des projets financés par Booster BeLEARN.
Les projets sont toujours décrits dans la langue utilisée par les chercheur·euse·s à l’heure de leur soumission.
We buid on our prior work to investigate the impacts of deep generative modeling tools on the creative practices of fashion design apprentices.
Be(e)Chat: Lokales KI-Modell für sichere, datenschutzkonforme Bildungsanwendungen im Kanton Bern
This project explore the impact of conversational reflection with the help of an agent (i.e., chatbot) on business students’ reflection skills and learning
Exploring the fusion of aesthetics & robotics, this project challenges stereotypes to enhance motivation and transversal skills in education.
ResponSE is about engaging students in co-creation activities to turn innovation ideas for a sustainable future into open educational resources
We explore how the Digital Training Companion, leveraging data science and AI, enhances the monitoring and follow-up of training in digital competencies.
Promoting children integration in multicultural school environments through artificial social agents.
With the Learning Companion, we aim to help future students acquire efficient study habits and metacognitive skills which are important for lifelong learning.
SFUVET collaborates with VET stakeholders to develop immersive training, generate insights for future research, and contribute to the digitization of education.
How is learning in computer science team projects affected by social emotions experienced by team members?
Entwicklung eines Projekts zum Einsatz eines Conversational Agents um Skills im Bereich Digital Responsibility.
Promoting problem-solving strategies through robotics activities in MINT mobil for primary school students in cycle 2.