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Journal of Microbiology & Biology Education
Article . 2025 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Methan-o-poly: a giant collaborative game to “digest” the microbiology of green biogas production

Authors: Pau Porras-Socias; Raffaello Mattiussi; Kris Anthony Silveira; Vincent O'Flaherty;

Methan-o-poly: a giant collaborative game to “digest” the microbiology of green biogas production

Abstract

ABSTRACT In an era of rapid change and global challenges, impactful educational experiences about sustainability become imperative. Especially in organic waste conversion bioprocess such as anaerobic digestion (AD). Here proposed, is a gamified approach to learn AD and hidden microbial interactions, bringing to real-life size an invisible phenomenon. In Methan-o-poly, participants roleplay cooperating microbes within a bioreactor engaged in four sequential mini-games to mimic organic waste degradation and methane production. Perturbations in the activity simulate real challenges, enhancing adaptability and problem-solving skills. Overall, this cooperative game promotes motivation, collaboration, and experiential learning. Its initial implementation received positive feedback across various age groups, enhancing green education initiatives.

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Keywords

anaerobic digestion, secondary students, LC8-6691, undergraduates, QH301-705.5, Microorganisms, educational activity, Special aspects of education, Gamification, Educational activity, Anaerobic digestion, Tips and Tools, gamification, Biology (General), microorganisms, Secondary students, Undergraduates

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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