Projects are posted here soon as they are opened. Please check later for new projects.
We aim to harness the power of Large Language Models (LLM) to revolutionize education through structured argumentation. In this project, we employ Learning by Arguing, a method that immerses participants in dynamic debates and discussions, promoting critical thinking and persuasive skills. This project transforms traditional learning into an interactive, engaging experience, with LLM technology providing personalized feedback and insights. Students will refine their argumentation techniques, gain a deeper understanding, and enhance intellectual capabilities in a supportive environment.
We are looking for students with the following interests: HCI, Dialogue-based Learning Systems, and Large Language Models. Relevant IT skills include Python and Deep Learning. If you are interested, do not hesitate to contact me.
Contact: [email protected]
Learning how to grip the pen properly is a fundamental part of handwriting training for children, requiring constant monitoring and timely intervention from teachers. Our project aims to develop and improve an existing machine learning (ML)-based algorithm to evaluate pen gripping posture and build an end-to-end system for iOS. This system will provide real-time feedback and guidance, ensuring children adopt the correct grip. By leveraging advanced ML techniques, the solution will accurately assess grip posture and offer immediate, actionable insights.
We will have weekly meetings to address questions, discuss progress, and think about future ideas. We aim to summarize the results in a scientific report.
We are looking for students with any of the following interests: Machine Learning, Human-computer Interaction, Computer Vision, and Mobile Computing. Relevant IT skills include Python and basic knowledge of iOS development. If you are interested, do not hesitate to contact me.
Contact: [email protected]