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.

Teaching

Thesis

Open

No theses found

In Progress

Master's ThesesLeveraging Generative AI for Adaptive Exercise Generation
Start DateAugust 2023
Advisor(s)Patrick Bassner
Supervisor(s)Prof. Dr.Stephan Krusche
StudentXinyao Liu
Abstract

In the evolving landscape of computer science education, the burgeoning student population necessitates a shift from traditional teaching paradigms. The Artemis teaching platform, with its interactive learning approach, offers a scalable solution for large courses. However, a notable challenge remains: the uniform distribution of programming exercises, regardless of individual student proficiency. Recognizing the diverse skill set and learning needs of students, this master thesis proposes a transformative solution — the utilization of Generative Pre-trained Transformer models, particularly Large Language Models (LLM), for adaptive programming exercise generation.

Bachelor's ThesesLeveraging Large Language Models for Assisted Programming Exercise Generation
Start DateAugust 2023
Advisor(s)Patrick Bassner
Supervisor(s)Prof. Dr.Stephan Krusche
StudentMichael Dyer
Abstract

Online educational platforms, including Coursera, Udacity, edX, and Khan Academy, offer diverse courses and rely heavily on exercises to reinforce learning. Among these, the Artemis platform from the Technical University of Munich has introduced specialized programming exercises. However, a pressing challenge is the time and effort instructors invest in creating these exercises. This bachelor thesis, supervised by Prof. Dr. Stephan Krusche and advised by Patrick Bassner, M.Sc., proposes the integration of OpenAI’s GPT-4 into Artemis to assist instructors in generating programming exercises.

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

StudentAdvisor(s)Supervisor(s)TitleTypeYear
Maximilian AnzingerPatrick BassnerProf. Dr.Stephan KruscheIntegration of Adaptive Learning in Interactive Online Learning EnvironmentsMaster's Theses05/2023 - 10/2023
Benedikt GeisbergerPatrick Bassner, and Matthias LinhuberProf. Dr.Stephan KruscheUser-Centered Design in Agile University ProjectsBachelor's Theses05/2023 - 10/2023

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