Lorenz Glißmann
Biography
Lorenz is a PhD Candidate specializing in Computer Science Education. Lorenz is especially passionate about empowering students through higher education, programming and using Generative Artificial Intelligence (GenAI) to improve learning environments.
Research Interests
- Education
- Programming
- Programming Languages
- Large Language Models
Teaching
Open Thesis Topics
AI-assisted language learningApply
Our current generation of AI models is language based. This opens a lot of possibilities for using AI in language learning. Despite the potential, there is a lack of free and open source language learning applications, especially as a support for language courses e.g. as offered by the university. The goal of this project is to change that and develop a language learning app based on the ideas of spaced-repetition and using LLMs to bridge the gap between vocabulary learning and full texts.
AI-assisted programming learningApply
AI is transforming education. AI chatbots are everywhere but more useful patterns only slowly emerge. In our CS Bachelor, we use the programming learning environment SmartBeans that provides students with tasks and automatic feedback based on unit testing. But this feedback is limited in scope and usefulness. The goal of this thesis is to improve the learning experience by adding state-of-the-art AI methods that go beyond chats, improving well-known factors in efficient learning e.g. cognitive load. The focus could either be on AI or on improving learning.
Publications
2025
- Ein Vorkurskonzept für heterogenitätssensible Vermittlung von Informatik zum Studieneinstieg (Lorenz Glißmann), In Fachtagung Hochschuldidaktik Informatik (HDI 2025), Fachtagung Hochschuldidaktik Informatik (11), pp. 35-43, (Editors: Simone Opel, Jörg Desel), Fachtagung Hochschuldidaktik Informatik (HDI 2025), TU Bergakademie Freiberg, HDI2025, Freiberg, ISBN: 978-3-00-083968-9, 2025 BibTeX URL DOI