
Prevalence of Direct and Emergent Schema and Change after Play
Author(s) -
Kit Martin,
Michael Horn,
Uri Wilensky
Publication year - 2019
Publication title -
informatics in education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.53
H-Index - 19
eISSN - 2335-8971
pISSN - 1648-5831
DOI - 10.15388/infedu.2019.09
Subject(s) - schema (genetic algorithms) , visitor pattern , adaptation (eye) , computer science , psychology , human–computer interaction , programming language , neuroscience , machine learning
This paper describes visitor interaction with an interactive tabletop game on the topic of evolutionary adaptations of social insects that we designed in collaboration with a large American museum. We observed visitors playing the game and talked to them about the experience. The game explores the emergent phenomena of ant behavior. Research has shown that such emergent behavior is difficult for people to understand, and that there are different emergent schemas that work best for understanding these phenomena. We tested the visitors preand post-gameplay and counted the prevalence of visitors expressing direct and emergent schemas of complex processes. We then considered four hypotheses measuring changes between these schemas and found that two groups shifted their schemas. To better understand this change we provide a qualitative overview of the visitors’ interactions. Our exhibit, called Ant Adaptation, takes the form of an agent-based modeling game that integrates complex system learning with gameplay. We video recorded 38 groups (114 participants) playing the game and conducted preand post-gameplay interviews. We coded the groups that contained children for this analysis: 9 groups (27 participants). Our results show that visitors held both emergent and direct schemas before and after play, and three people changed from direct schemas before play to emergent schemas after play. We then examine the process of how one of these groups shifted their schemas.