Research

The RAISE lab advances AI-for-education research aiming to personalize learning, support teaching practices, and integrate technologies responsibly.

Research axes

• Personalized learning pathways
• Human-computer interaction and pedagogical interfaces
• Intelligent assessment and adaptive learning
• Ethics, inclusion, and accessibility
• Teacher development for digital and AI tools
• Generative AI uses in education

Current projects

• Personalized learning pathways through adaptive learning environments
• Intelligent assessment and adaptive learning driven by data analysis
• Generative AI usage studies to improve efficiency and accessibility

Methodological approach

• Fundamental research grounded in contemporary theoretical frameworks
• Applied research with prototype development and field validation
• Co-design with teachers, trainers, and learners

Partnerships and collaborations

• Schools and universities for in situ experimentation
• EdTech companies and startups to accelerate technology transfer
• Public organizations to inform educational policy
• International labs to share practices and build synergies