Game theory has been used in different fields of science thanks to its versatility as it provides a valuable framework for developing strategic insights into complex, multi-actor situations, making it well-suited for dealing with real-world problems. Applying game theory in the context of grading students at a university involves creating and analyzing models with input from both students and educators, guided by a facilitator, to explore strategic interactions within the grading process. While previous research has often focused on the analytical insights from game theory models, the design and implementation process of participatory game theory interventions in educational settings is not explored enough. Our paper offers a framework to guide the design of game theory-based grading systems. Such an approach highlights the value of the framework for structured learning and fair grading through game theory-based interventions. It specifies the facilitator's role and design choices for each learning level, aligned with the desired knowledge capabilities and activities to achieve specific learning outcomes.

Principal-agent problems, signaling games, coordination games, auction models, repeated games, moral hazard concepts, and public goods games are examples of game theory concepts and models relevant to this context. The paper will offer the framework to help design grading policies.

The Grant Agency of Slovak Republic supported this work by VEGA grants no. 1/0115/23 and no. 1/0120/23.

Authors:
Marian Reiff, University of Economics in Bratislava, Slovakia
Allan Jose Sequeira Lopez, University of Economics in Bratislava, Slovakia
Zuzana Cickova, University of Economics in Bratislava, Slovakia

About the Presenter(s)
Dr Marian Reiff is currently an Associate Proferosr of Faculty of Economic Informatics at University of Economics in Bratislava, Slovakia.

Connect on Linkedin
https://sk.linkedin.com/in/marian-reiff-6608547

See this presentation on the full schedule – Tuesday Schedule

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