  The use of generative AI in education is a controversial topic. Current
technology offers the potential to create educational content from text,
speech, to images based on simple input prompts. This can enhance productivity
by summarizing knowledge and improving communication, quickly adjusting to
different types of learners. Moreover, generative AI holds the promise of
making the learning itself more fun, by responding to user inputs and
dynamically generating high-quality creative material. In this paper we present
the multisensory educational game ArchiGuesser that combines various AI
technologies from large language models, image generation, to computer vision
to serve a single purpose: Teaching students in a playful way the diversity of
our architectural history and how generative AI works.
