Patrick Bassner, M.Sc.

Office
01.07.041
Postal Address
Technical University of Munich
Patrick Bassner, M.Sc. (CIT–I1)
Boltzmannstraße 3
85748 Garching b. München
Consultation
Office hours by appointment — please contact me via mail.

Publications

↓ 2024

Teaching

Thesis

Open

No theses found

In Progress

Bachelor's ThesesIncorporating Lecture Content into IRIS
Start DateJanuary 2024
Advisor(s)Patrick Bassner
Supervisor(s)Prof. Dr. Stephan Krusche
StudentYassine Souissi
Abstract

In this thesis, the goal is to enhance the contextual awareness of a GPT-based educational chatbot, named IRIS, on the Artemis Learning Platform by incorporating lecture content. To do this, the lecture slides should be embedded into a vector database, and the chatbot should be able to retrieve the most relevant slides based on the user’s query in order to provide the most relevant answer. Artemis is open source and available on https://github.

Master's ThesesLeveraging Large Language Models for Proactive Assistance in Artemis
Start DateJanuary 2024
Advisor(s)Patrick Bassner
Supervisor(s)Prof. Dr. Stephan Krusche
StudentYılmaz Kaan Çaylı
Abstract

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.

Master's ThesesDynamic Lecture Content Management in Artemis
Start DateFebruary 2024
Advisor(s)Patrick Bassner
Supervisor(s)Prof. Dr. Stephan Krusche
StudentAybike Ece Eren
Abstract

The thesis aims to enhance the instructor interface and student experience in the IRIS learning platform. The project will introduce a thumbnail grid for instructors to manage slides intuitively, ensuring persistent configurations even when slides are updated. The system will adapt to changes, such as the addition of new slides, by automatically adjusting the selection and maintaining the overall structure. Advanced features like automatic slide number extraction and adaptive reference management will be implemented to maintain continuity when slides are updated.

Master's ThesesEvaluation of a GPT-based Chatbot for Higher Education
Start DateMarch 2024
Advisor(s)Patrick Bassner
Supervisor(s)Prof. Dr. Stephan Krusche
StudentAnna Lottner
Abstract

The goal of this thesis is to evaluate the effectiveness of IRIS, a GPT-based chatbot for higher education. The chatbot is integrated into the Artemis learning platform and is designed to provide assistance to students when they encounter difficulties. In addition, the chatbot is capable of answering questions related to the course content. Instructors can benefit from IRIS through assistance in exercise generation. In this thesis, the effectiveness of IRIS will be evaluated through a combination of quantitative and qualitative methods.

Finished

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