Author: haislab

  • New Publication: Enhancing Argumentation Skills through Dynamic Machine Learning-Based Feedback

    We’re excited to announce the publication of our latest research, which delves into the use of dynamic, machine learning (ML)-based systems to improve students’ argumentation skills—a critical factor in education and career success. Unlike traditional static models, our innovative system provides real-time, personalized feedback, adapting to the individual needs of learners. In a series of…

  • HAIS-Lab publishing four full papers at ACM CHI24 in Honolulu

    In May, HAIS lab was present at ACM CHI24 in Honolulu. We kicked off CHI24 with a dynamic start at the Third Workshop on Intelligent and Interactive Writing Assistants. The workshop featured stimulating discussions on the challenges and innovations in interactive writing tools based on Large Language Models, with valuable insights shared by panelists John…

  • Advancing AI in Education: Enhancing Peer Review Writing with Intelligent Support

    On Monday, April 8th, 2024, at 3:30 pm (CET), we hosted our open reading group on “AI for Education.” We had an exciting discussion centered around the new CHI24 paper “Intelligent Support Engages Writers Through Relevant Cognitive Processes” by Andreas Göldi. The article delves into the prevalent practice of student peer review writing in education,…

  • Paper published at IUI24

    Last week we had the honor of presenting our latest paper titled “Enhancing Peer Review with AI-Powered Suggestion Generation Assistance: Investigating the Design Dynamics” at the renowned Intelligent User Interface (IUI) 2024 conference together with Xiaotian Su, Seyed Parsa Neshaei, and Roman Rietsche. This work represents a significant step forward in our commitment to improving the peer review process…

  • Open reading group on AI for Education

    If you are interested in the application of AI for education, please feel free to join our open scientific reading group March 5, 2023 at 3:30 pm (CET). Every first Monday of the month, we aim to invest 30 min to discuss papers on topics such as Human-Computer Interaction, Natural Language Processing, Information Systems, and…