Enise Erdoğan conducted initial intensive literature research for her dissertation in order to identify key theoretical approaches and suitable research methods. Her dissertation deals with language discrimination in vocational education and training. Christoph Leupold spent the week improving the performance of the Python-based FEM simulation for multi-material components. Marija Cubaleska worked on her paper on language ideologies and practices in civil society-organised language courses for adult refugees in South-Eastern European transit countries. Jan Naumann worked intensively on his dissertation, focusing in particular on implementing the model for data collection within the framework of the Technology Acceptance Model (TAM). Svenja Gmeinder worked on her exposé and examined the sustainable transfer of AI-supported mentoring applications. Frieda Klaus worked on her framework text for her dissertation topic ‘Innovations through vocational education and training’ and prepared another article.