ArtBot is an educational game intended to improve AI literacy among primary and secondary education students through a series of tasks requiring the application of supervised and reinforcement learning. The premise of the game is that valuable statues have been stolen and an AI helper, ArtBot, has been provided to the player to help find and retrieve them. The game comprises 2 mini-games, each intended to illustrate one of these ML processes. In the first part, the player must teach ArtBot to recognise the difference between paintings and statues. In the second mini-game, the player has to guide it through a set of dungeon-like rooms by collecting statues and finding the exit.

Relevant Publications

  • Marvin Zammit, Iro Voulgari, Antonios Liapis and Georgios N. Yannakakis: "The Road to AI Literacy Education: From Pedagogical Needs to Tangible Game Design," in Proceedings of the European Conference on Games Based Learning, 2021. PDF BibTex

  • Iro Voulgari, Marvin Zammit, Elias Stouraitis, Antonios Liapis and Georgios N. Yannakakis: "Learn to Machine Learn: Designing a Game Based Approach for Teaching Machine Learning to Primary and Secondary Education Students," in Proceedings of the ACM Interaction Design and Children (IDC) conference, 2021. PDF BibTex