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
Workload-EstimationApply
Lecturers are not always good in estimating the effort it takes to take their courses. This thesis should develop a tool for estimating the actual workload of a course. There are multiple methods with which this could be achieved (e.g. using AI to estimate task difficulty or using a survey like https://cat.wfu.edu/resources/workload2/). As part of the thesis, estimates should be callibrated against real courses (e.g. asking lecturers and students for their estimates).
Workload im Studium überwachenApply
Verschiedene Kurse im Studium können sich in Bezug auf den Aufwand stark unterscheiden. Da individuelle Unterschiede groß sein könnten und Selbsteinschätzungen sehr ungenau ausfallen, ist es gar nicht so leicht dazu verlässliche Daten zu bekommen. Im Rahmen dieser Arbeit soll ein Open Source Werkzeug entwickelt werden, dass objektive Workloaderfassung per Timetracking erleichtert. Dafür soll eine WebApp entwickelt und erprobt werden, die direkt auf Smartphones (und Laptops) von Studierenden läuft.
How do students use AI in their studies?Apply
Students and especially computer science students are among both the early adopters of generative artificial intelligence and it's critics. Knowing which AI tools are used and how they are used, is important to improve learning and teaching. The goal of this bachelor thesis is to collect and evaluate data on this topic for the computer and data science courses.
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.