Education is a crucial societal priority and a strategic focus for the application of reliable AI. To address this, relAI has introduced a new research area: Learning & Instruction. This initiative will be led by relAI fellows Prof. Jochen Kuhn from LMU and Prof. Enkeledja Kasneci from TUM, both of whom are experts in educational technology.
Learning & Instruction focuses on exploring how reliable AI can be used to transform education in meaningful and responsible ways. It investigates the potential of intelligent tutoring systems, adaptive feedback, and digital learning assistants to personalize learning paths and provide targeted support. At the same time, it examines the broader effects of AI on teaching and learning: how AI systems shape learner motivation, teacher roles, and the dynamics of human-AI collaboration.
By bringing together expertise from artificial intelligence, learning sciences, and educational research, Learning & Instruction aims to develop robust and trustworthy AI applications that not only advance technology, but also serve pedagogical goals and democratic values. .
