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LENS-C: Learning, Exams, and eNgagement Structure – Chatbots

September 17th, 2025

With the rise of LLM-based chatbots, students increasingly rely on these tools to support their studies. While they provide convenience and immediate assistance, their use also raises important questions: How do chatbots influence the way exercises are solved? Do they change how competencies are developed? And how should exams and learning tasks be designed in response?

Image generated with AI.

The LENS-C project investigates these questions by developing and testing an anonymous feedback mechanism. By applying this mechanism across different task types—ranging from multiple-choice questions to coding and visual assignments—we aim to better understand how chatbot assistance shapes learning outcomes. The insights will be used to improve exercise and exam design, strengthen quality assurance in teaching, and provide guidance to both educators and students.

Manager(s) Anastasiia Belova
Laurenz Neumann
Sandra Geisler
Stefan Decker
Funding
Project Start November 01, 2025
Project End June 30, 2026
Status Running