Iovine, IvanKlein, MaikeKrupka, DanielWinter, CorneliaWohlgemuth, Volker2023-11-292023-11-292023978-3-88579-731-9https://dl.gi.de/handle/20.500.12116/43151Artificial intelligence (AI) and robotics are taking an increasingly central role in the creative industries. In recent years a growing number of artistic works have been produced and embedded with AI or robotic driven technologies. While these technologies are introduced and taught at the university level in creative domains such as architecture and design, their integration into multimedia and electronic arts is often limited or partially addressed. This study presents a practical experience of integrating machine learning and robotics into an art curriculum, specifically targeting students with little programming experience. To teach these disciplines, a constructivism approach is explored, allowing students to learn AI and robotics pipelines through the familiar subject of physical computing. From this starting point, through code samples and experimentations students were able to explore increasingly technical realms such as computer vision and human-robot-interaction.enArt EducationArtificial IntelligenceRoboticsText/Conference Paper10.18420/inf2023_321617-5468