Games encourage people to put their brains to work in a focused, constructive and peaceful way. This makes games a fantastic tool in the classroom. Many board games contain sophisticated algorithms and statistical models right under the surface. Therefore, Data Science education can be boosted by playing carefully selected games.
We have applied popular board and card games such as Memory, Wizard, Machi Koro, Pandemic and Sky Team (the 2024 Game of the Year in Germany) to teach Data Science concepts in our courses. Learners would first play a game, discuss the mechanisms and only after that get exposed to the theory. Finally, they would move to practical applications using computers.
This game-driven approach provides learners with an intrinsic motivation to solve a real practical problem (succeeding at the game). Analyzing a game makes it easier to grasp the core mechanism or algorithmic model and ask qualified questions about the details later. It also makes sure learners will want to come back for the next class. We have documented practical lessons and made them available under a CC license on https://www.academis.eu/probably_fun/ .
In this tutorial, you will speed-date with several short games that can be used to teach Data Science concepts and skills. You will play one game for 15 minutes, reflect on the Data Science concepts it involves, and then rotate to the next table. This way, you will experience multiple ideas you can use to make complex methods and ideas more accessible. Also, the tutorial is probably fun to participate in.
The tutorial will be executed according to the following pseudocode (or lesson plan):