This paper explores how students in Higher Education use LLMs for programming and how learning environments should scaffold such support. We conducted a repeated-measures exploratory field study in two programming courses, a Bachelor’s and a Master’s level course, using a JupyterLab environment with LLM support. Studen...
Industrial mobile robots are increasingly deployed in warehouses and production sites and interaction takes place with different stakeholders from different disciplines. In such sociotechnical settings, terminology shapes mental models and perceptions that influence trust, interaction, and safe collaboration. Key label...
Sven Franke, Jan-Bernd Igelmann, Jérôme Rutinowski et al.· Frontiers in Robotics and AI· 0 citations
Findings may indicate that LLM-supported programming environments should supply context-sensitive scaffolding, automatically providing the model with the learner’s code and error trace rather than relying on the learner to communicate that context.
