Sewing, FelixFlechtner, Rahel2024-08-212024-08-212024https://dl.gi.de/handle/20.500.12116/44232Artificial intelligence (AI) is increasingly crucial for designers, particularly in the field of human–computer interaction. A basic understanding of machine learning (ML) algorithms is essential for design students to effectively engage with this technology both conceptually and practically. However, teaching this complex content in disciplines outside of computer science requires a different approach. To address this, we introduce SandwichNet, an interactive web-based tool to teach the basic principles of neural networks. SandwichNet provides a playful interactive visualization of a neural net whose parameters can be manipulated to recreate and understand the learning behavior of the network. We introduce the tool and outline how it is integrated into our fundamental teaching of AI technologies for designers.enhttp://purl.org/eprint/accessRights/RestrictedAccessMachine Learning EducationArtificial IntelligenceText/Conference Paper10.18420/muc2024-mci-demo-322