MoL-2015-04: Learning in Games through Social Networks

MoL-2015-04: Kosterman, Sanne (2015) Learning in Games through Social Networks. [Report]

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Modern approaches to human learning suggest that the process of learning is most effective when the environment is active and social. Digital techniques of serious games and online social networks are therefore becoming increasingly popular in today’s educational system. This thesis contributes to the proposition that combining elements of social networks and games can positively influence the learning behaviour of players. To underpin this statement, we propose a computational model that combines features of social network learning and game-based learning. The focus is on cooperative games, in which players are collaborating in a grand coalition and are trying to achieve a common goal. Our learning paradigm combines insights from game theory, graph theory, and social choice theory, resulting in an interdisciplinary framework for analysing learning behaviour. We show that enriching cooperative games with social networks can improve learning towards the common goal, under specific conditions on the network structure and existing expertise in the coalition. Based on the findings from our formal model, we provide a list of recommendations on how to include network structures in serious games.

Item Type: Report
Report Nr: MoL-2015-04
Series Name: Master of Logic Thesis (MoL) Series
Year: 2015
Uncontrolled Keywords: logic, mathematics
Subjects: Logic
Date Deposited: 12 Oct 2016 14:38
Last Modified: 12 Oct 2016 14:38

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