Case Study: CODE University achieves faster feedback and scaled AI-assisted learning with Langdock

CODE University cuts pre-assessment check-ins by 50% with Langdock

Code University of Applied Sciences, a leading innovative university in Berlin, faced the challenge of meeting increasing demand for personalized student feedback and guidance without expanding its resources. Faculty were burdened by responsibilities like assessment and classroom preparation, and they were skeptical about how to effectively integrate AI tools to augment, rather than replace, critical thinking. To address this, they turned to their alumni's company, Langdock.

By implementing Langdock's AI agents and meta-agent system, the university created a scalable feedback and guidance solution. This allowed for personalized assistance for students and streamlined preparation work for faculty. The results were transformative: Langdock enabled 2x faster feedback loops, eliminated pre-assessment check-ins for 50% of students, and scaled sustainability evaluations across 120+ projects per semester, saving faculty significant time and improving the quality of student submissions.

Code University of Applied Sciences