A game that teaches
Machine learning Artificial Intelligence Supervised Learning Reinforcement Learning

In ArtBot players of all ages learn the basics of Artificial Intelligence. Your quest is to find and retrieve stolen art objects. You train your AI helper to recognise and locate the objects hidden in a maze of dungeons, and see how supervised and reinforcement learning work.


ArtBot has been designed with teachers and students in mind.

Digital literacy

A game that teaches how Artificial Intelligence processes behave and how they can be biased.


Simple to use, but engaging and promotes exploration of Machine Learning fundamentals.

Developed by

Institute of Digital Games

Institute of Digital Games

The centre for research and education in game design, game analysis, and game technology at the University of Malta. Our work is at the forefront of innovative games research. We explore games and play, uncovering new playful and generative possibilities in game design and technology. We delve into everything games can teach us about ourselves. Our multidisciplinary academic team spans computer science, literature, game design, philosophy, media studies, and social sciences.

Part of

Learn to Machine Learn

Learn to Machine Learn

The “Learn to Machine Learn” (LearnML) project is a three-year Strategic Partnership in the field of Education aiming to produce an innovative solution for the teaching and learning of crucial 21st century skills relating to digital literacy, computational thinking, Artificial Intelligence (AI) and Machine Learning (ML), so that Europe’s children and teenagers can develop into responsible citizens and insightful thinkers able to navigate the complex digital space and effectively contribute to its design. AI and ML are already ubiquitous in everyday life in fields such as speech and image recognition, personalised information on social media and search engines, and autonomous vehicles. They have the potential to bring unprecedented benefits to society. Concerns have also been raised, though, on the potential pitfalls and dangers regarding the decisions such systems might make, the autonomy of the AI agents, and the values embedded in their design. The new generation has to develop advanced digital literacy skills, to question and critically analyse and interpret data and information, recognise misinformation spread via social media platforms, emerging cultural and social biases embedded in the architecture and design of computer systems, and the ethical and political implications.