Explore our cases here and discover how AI is transforming teaching and learning across Europe.
MAI supports teachers by monitoring collaborative learning groups and identifying key “trigger moments”, instances when students need to recognize and regulate their own learning. By doing so, MAI allows teachers to focus on providing deeper, content-specific guidance and helping students develop more advanced learning strategies. It also enhances teachers’ own awareness and skills in fostering self-regulated learning.
Teachers will gain tools and strategies to design and orchestrate collaborative problem-solving lessons that foster both individual learning progress and productive collaboration. The case aims to strengthen teachers’ situation-specific skills, their ability to notice, interpret, and respond to students’ learning processes with the support of AI-informed feedback.
A showcase of teacher-AI complementarity where AI as an synergistic partner, augmenting teachers’ perception and action spaces to enhance students’ collaboration and regulation of learning in real-world small-group higher education collaborative context.
Insights into how teachers use AI adaptivity features in practice (intended vs. actual use); Mapping of teacher skills that are supported by the tool; Evidence of whether AI helps reduce workload or creates new skill requirements demands; Guidelines for AI design and teacher support, since we're working with peer-mentoring, co-design: a real collaboration between teachers, researchers and a large business partner
The case will deliver a toolkit of AI-powered tools to support teachers in designing and authoring learning activities, accompanied by a set of evidence-informed pedagogical practices to foster effective teacher–AI collaboration. Additionally, it will provide clear guidelines on how to design and implement AI-based tools that assist teachers in creating high-quality learning activities.
Teachers face increasing workloads due to large class sizes, teacher shortages, and rising student heterogeneity, particularly in early education. Investigating ways to support their professional needs is essential to enhance instructional quality and promote equitable learning outcomes.
This case explores the use of Generative Artificial Intelligence (GenAI) to support teachers in the design and delivery of formative feedback. Formative feedback plays a central role in learning, yet it is often challenging to provide in a timely, personalized, and pedagogically meaningful way.
