2023: Leveraging Large Language Models for Proactive Assistance in Artemis

Master's theses

Yılmaz Kaan Çaylı



The challenges encountered by students during the completion of exercises necessitate the implementation of a proactive assistance mechanism within Artemis. This could potentially be achieved through the integration of generative AI technologies such as ChatGPT. The objective of this thesis is to augment Artemis with the capability to provide automatic and proactive assistance to students when they encounter difficulties. The effectiveness and impact of this approach on the learning experience will be evaluated through a comprehensive assessment.

Artemis is open source and available on https://github.com/ls1intum/Artemis

Head of Research Group

Prof. Dr. Stephan Krusche

Administrative office

Sophia Adelmeier

Office: 01.07.052
Phone: +49 (89) 289-18206
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85748 Garching b. München