Gamified recreational exercise focused on Markov Chains

Margarita Castellanos Flórez, Paula Andrea Duarte Amado and Luisa Fernanda Moreno Galvis

Gamification and Augmented Reality, 2024, vol. 2, .72

Abstract: The gamified recreational exercise focused on Markov Chains is an innovative methodology that combines learning with play to facilitate the understanding of statistical and mathematical concepts. Markov Chains are models that describe systems that transition between different states, where the probability of moving to a future state depends only on the current state and not on previous ones. By integrating game elements, such as challenges, rewards and competition, we seek to motivate students to actively engage in the learning process. This approach makes learning more engaging and gives participants a hands-on experience of how Markov Chains work in real situations. Exercises may include simulations, board games, or digital applications that represent scenarios where students must make decisions based on probabilities. Through gamification, teamwork and problem solving are encouraged, essential skills in today's world. The gamified recreational exercise is a favorable tool for teaching Markov Chains, it makes learning more dynamic and effective.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:gammif:v:2:y:2024:i::p:.72:id:.72

DOI: 10.56294/gr2024.72

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