April 2026: Delivered two high-impact features across ls1intum/Artemis and ls1intum/edutelligence that significantly enhance interactive learning and assessment workflows. The MCQ carousel now supports navigation through questions, persists user responses, and enables content-aware quiz generation, providing a tailored learning experience. A parallel implementation extends the same pattern with dynamic quiz generation from lecture material, response persistence, and a carousel interface. These features establish cross-repo parity, reduce manual quiz authoring, and enable adaptive assessments that better align with course content. No major bugs were reported this month; focus remained on feature delivery and code quality.

March 2026 focused on delivering scalable MCQ capabilities across Artemis and edutelligence, establishing a reusable data model and rendering pipeline that ties student prompts to interactive assessments. Key features delivered include an interactive MCQ rendering feature in Iris Chat for Artemis and a MCQ generation workflow for student prompts in edutelligence. The effort included tests validating rendering, co-authored contributions, and cross-repo collaboration, setting the foundation for scalable assessments and analytics across learning workflows.