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Thesis Projects

Information about Diploma/Master thesis process

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    Running Theses

    • A Mixed Reality Agent as a Navigation Guide


      Mixed reality agents are simulated humans which can be viewed and interacted with on mixed reality technologies. For conveying content in educational settings, mixed reality agents have a series of advantages. They are part of a mixture of virtual elements with the real world, which provides opportunities where the agent can refer to points and ...
    • Frequent Learner Errors: NLP Insights into Automated Grading


      This thesis aims to explore the realm of Natural Language Processing (NLP) in the context of automated grading systems, focusing specifically on identifying and analyzing frequent learner mistakes. With the increasing integration of technology in education, automated grading systems have gained prominence, but they often lack nuanced understanding and feedback provision. This research endeavors to ...
    • Explainable Data – Trust, Transparency and Bias Mitigation in ML


      This bachelor thesis aims to delve into the critical intersection of trust, transparency, and bias mitigation in machine learning (ML) systems through the lens of explainable data. The proliferation of ML algorithms across various domains has underscored the importance of understanding how these systems make decisions, especially when they impact individuals or societal outcomes.
    • Adaptive Semantics for Generic Latex Expressions in the Context of Educational Resources


      This thesis aims at developing a pipeline for automatic translation of generic latex expression into domain specific, processable, languages.
    • Need for Speed: Evaluating Feedback Latency in Psychomotor Learning


      The bachelor thesis aims to contribute to the ongoing research project MILKI-PSY, which is centered around advancing Self-Regulated Learning (SRL) in psychomotor training through multimodal immersive mentoring. In the context of the project, we explore how various calculation mechanisms and hardware decision impact the latency of feedback in psychomotor learning.

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    Completed Theses

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