Towards empowering teachers with AI for dynamic evaluation and assessment for students with special needs

Supporting students with special needs requires adaptive, personalized, and continuously updated educational strategies. Traditional static approaches often fail to capture the complexity and evolution of students’ learning trajectories. In this paper, we propose a dynamic-context AI-based digital platform designed to empower teachers by monitoring student progress, suggesting tailored strategies, and adapting learning materials based on real-time observations and assessments. The system also assists in the compilation and iterative refinement of the IEP (Individualised Educational Plan), offering continuous feedback through a digital co-teacher (chatbot). By providing the AI with an evolving context, the platform aims to enable more accurate and responsive educational support. A theoretical use case illustrates how the system can help teachers adjust objectives and expectations when students encounter unforeseen difficulties, fostering more inclusive and effective learning experiences.