Kruse, TheresaLohr, DominicBerges, MarcKohlhase, MichaelMoghbeli, HalimehSchütz, MarcelSchulz, SandraKiesler, Natalie2024-09-032024-09-0320242944-7682https://dl.gi.de/handle/20.500.12116/44516Adaptive learning systems need to use domain and learner models to provide meaningful support for learners. Building fine-grained domain models by hand is very time-consuming, so the demand for partial automation is high. This paper investigates how term extraction tools can support constructing a domain model. Therefore, we study if different automatic term extraction tools give comparable results to a human annotator. Our results show that the current extraction tools support the process, but their results are not directly usable and still need human adjustments.endomain modelingterm extractionadaptive learning systemprogrammingText/Conference paper10.18420/delfi2024_332944-7682