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Title:The social shape of dust: learning networks in alternate reality games
Author(s):Pellicone, Anthony; Bonsignore, Elizabeth; Ahn, June; Kaczmarek, Kathryn; Hansen, Derek; Kraus, Kari
Subject(s):Social Network Analysis
Alternate Reality Games
Digital Youth
Information Behavior
Distributed Learning
Abstract:Alternate reality games (ARGs) are powerful learning environments due to the way that they inspire collaboration and bring a participant’s day-to-day life into play. An important aspect of educational ARGs is that learning is social, with players sharing information and resources across a network of other players. In the following poster we provide analysis of gameplay data from a large-scale ARG, DUST, centered on science learning. We examine the metric of eigenvector centrality (EC) as a way of predicting meaningful learning networks in ARG play, expand upon that finding with a qualitative case study of a highly involved player, and offer the possibility of EC monitoring during gameplay as a way of improving player outcomes in future ARGs.
Issue Date:2016-03-15
Publisher:iSchools
Citation Info:NA
Series/Report:IConference 2016 Proceedings
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/89395
DOI:10.9776/16535
Rights Information:Copyright 2016 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2016-03-08


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