The roadmap below describes how our work develops over the next ten years, in three periods.
01
2026-2028
Foundations
In this period we build the first prototypes, set up the data infrastructure behind them and test early designs in real classrooms.
- AI-assisted learning prototypes
- Learning analytics infrastructure
- Classroom and student pilot studies
- Responsible AI design principles
02
2028-2030
Adaptation
The prototypes grow into systems that adapt to individual learners and draw on a wider range of learning signals.
- Adaptive learning systems
- Multimodal learner modeling
- Immersive education scenarios
- AI-supported assessment and feedback
03
2030-2035
Transformation
The work moves beyond single classrooms, towards environments where teachers and AI systems share the task of teaching and where learning continues throughout life.
- AI-enhanced education ecosystems
- Teacher-AI collaboration
- Lifelong learning platforms
- Transformative technologies for inclusive and future-ready education