Abstract
Educating the younger generation about AI capabilities and its responsible use is crucial. Still, the high entrance threshold of basic programming skills and the domain complexity is disen- couraging for both students and teacher. This paper presents a no-code concept for teaching AI through artificial empathy. It shows how reinforcement learning, multi-agent systems, neural networks, and artificial empathy can be introduced through a non-scripted, adaptive swarm of mobile robots. The robots communicate visually, allowing students to observe behaviors and dynamics real time, in classroom environment. The paper presents early results, a prototype platform, and an exemplary research scenario.
Paper Type
Poster
DOI
10.62036/ISD.2026.166
Artificial empathy as a tool for teaching artificial intelligence with no code
Educating the younger generation about AI capabilities and its responsible use is crucial. Still, the high entrance threshold of basic programming skills and the domain complexity is disen- couraging for both students and teacher. This paper presents a no-code concept for teaching AI through artificial empathy. It shows how reinforcement learning, multi-agent systems, neural networks, and artificial empathy can be introduced through a non-scripted, adaptive swarm of mobile robots. The robots communicate visually, allowing students to observe behaviors and dynamics real time, in classroom environment. The paper presents early results, a prototype platform, and an exemplary research scenario.
Recommended Citation
Siwek, J., Siwek, P. & Stasiak, M.D.(2026). Artificial empathy as a tool for teaching artificial intelligence with no code. In M. Valenta, B. Mannová, R. Pergl, A. Przybylek, M. Lang, H. Linger, C. Schneider, N. Iivari, & E. Insfran (Eds.), Making ISD Sustainable: Reloaded with AI and Automation (ISD2026 Proceedings). Prague, Czech Republic: Czech Technical University in Prague. ISBN: 978-80-01-07585-2. https://doi.org/10.62036/ISD.2026.166