Artificial Intelligence is reshaping the way languages are taught and learned. Our project helps language teachers and teacher educators gain the knowledge, confidence, and ethical awareness to integrate AI responsibly into their practice.
The project combines academic research, classroom practice, and digital innovation. Participants learn to use AI to enhance evidence-informed strategies such as scaffolding, feedback, and retrieval practice — while keeping human values at the centre of education.
What's new in the project?
Rewiring FLL: Evidence-Informed Strategies in the AI Era
Recent research confirms that retrieval practice and quality feedback significantly enhance learning retention. Our Erasmus+ project leverages AI to scale these evidence-based strategies—generating adaptive tasks and personalized feedback—while building teachers’ technological self-efficacy.
Using CORRECTED.AI to Improve Students’ Writing
How does AI actually change everyday teaching practice? In this testimonial, a language teacher reflects on using AI as a practical support tool — not a replacement, but a partner in designing better learning experiences.
Artificial Intelligence in Scaffolding
What happens when a teacher starts testing AI step by step in real classroom scenarios? This testimonial explores cautious experimentation, critical thinking, and learning by doing.
Using AI-Supported Active Recall and Spaced Repetition
AI can support teachers — but only when used consciously. In this testimonial, a language teacher reflects on balance, ethics, and meaningful integration of AI in education.
From Vision to Action: Project Design Team Meets in Leuven
The Project Design Team met in Leuven for an intensive three-day working session hosted by UCLL. From Ukraine to Portugal, our diverse group of experts finally met face-to-face to shape the core of the project.
Why pQBL? Because Quality in Learning Should Be Measurable
We use pQBL — Pure Question-Based Learning, a KTH-developed method that teaches through questions plus immediate, formative feedback. It lightens prep for teachers, lowers cognitive load for learners, and delivers equal or better outcomes — with less to produce and less to consume.