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Initiatives
Title
9 Initiatives
Ongoing
Lighthouse EdTech: Evidence-oriented initiative
The Lighthouse initiative aims to bridge the gap between theory and practice in the field of educational technology. By bringing together Swiss EdTech startups, schools, and academic institutions, it allows for the testing, validation, and improvement of EdTech tools through research-based pilot studies. This collaborative approach enables schools to access innovative educational solutions, while startups receive valuable feedback to refine their tools, all within a rigorous, evidence-oriented framework.
Ongoing
BeLEARN
In order to strengthen and extend EPFL’s contribution to the digital transformation of education, the Center LEARN has joined the partnership between the Canton of Bern’s Department of Education and Culture and five universities to form BeLEARN: a competence center whose objective is to advance digital education through a translational approach.
Ongoing
Campus Analytics
Data science for education. We aim at using the power of machine learning and data science to uncover hidden patterns and paths in EPFL’s educational system.
Ongoing
National Research Programme (NRP77): Assessing computational thinking skills
Computational thinking (CT) is the ability to develop a problem-solving methodology that complements computers. This project studies the extent to which Swiss students are able to do so, and develops tools to measure these skills.
Ongoing
iHub4Schools
Accelerating digital innovation in schools through Regional Innovation Hubs and a whole-school mentoring model.
Ongoing
lunch&LEARN
The aim of Lunch&LEARN sessions is to gather an EPFL audience interested in novel and effective learning and teaching approaches, and to create a rich discussion around successful paradigms based on evidence. Do join us!
Ongoing
Socio-Emotional and Ethical Blended Learning
The purpose of this project is to understand, support, and promote the development of psychosocial and ethical skills crucial for reshaping the 21st-century educational environment.
Ongoing
ASPIRE
ASPIRE is empowering researchers, beyond the current platform stakeholders, to access data generated within Graasp.
Finished
Uni Analytics: learning analytics
We believe that machines can help humans teach and learn better. That is why we combine artificial intelligence and machine learning with insights from the learning sciences to better understand what people know and how they learn.