Case Study: CODE University achieves faster feedback and scalable assessments with Langdock

How CODE University is pioneering a new model for higher education through AI

Code University of Applied Sciences, an innovative university in Berlin, faced the challenge of scaling personalized feedback and improving teaching efficiency for its growing student body without increasing faculty resources. Faculty members were burdened with preparing digital classrooms and providing tailored pre-assessment guidance, all while seeking a way to integrate AI into education that augmented, rather than replaced, critical thinking. Langdock, an AI platform gifted to the university by its alumni founders, became the solution for this challenge.

Langdock enabled professors to create AI-powered teaching assistants tailored to specific modules. These assistants provided students with immediate, high-quality feedback and reflective guidance, which reduced the need for pre-assessment check-ins by 50% for some modules. This solution saved faculty significant time, improved the depth and quality of student submissions, and streamlined complex tasks like thesis assessments. Langdock’s integration helped CODE pioneer a more efficient educational model while preparing students for a future where AI is ubiquitous.

Code University of Applied Sciences

Florian Grote

Professor of Product Management