Journal article
Knew Me and New Me: Facilitating Student Identity Exploration and Learning through Game Integration
International journal of gaming and computer-mediated simulations, v 8(3), pp 39-58
01 Jul 2016
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper reports a mixed-methods study supporting twenty 9th grade students' mathematics knowledge, motivation, and identity change through projective reflection using Game Network Analysis (GaNA). GaNA is an ecological game-based learning framework that was conceptualized for facilitating teachers in selecting and using games. Projective reflection is an identity change process catalyzed by digital game play and facilitated by reflection and discussion activities focused within a domain. From September-December 2010, a game, Dimension M was used to facilitate students' in gameplay to construct mathematics knowledge, motivation to learn, and identity change. Data sources included interviews, in-class participant and video observations, and pre-post assessments. Students had statistically significant gains in mathematics. Students engaged in identity exploration activities that allowed them to value mathematics. The implications of projective reflection and GaNA are discussed. Further studies are needed for scaling and replicating the use of projective reflection.
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Details
- Title
- Knew Me and New Me: Facilitating Student Identity Exploration and Learning through Game Integration
- Creators
- Aroutis Foster - Drexel UniversityMamta Shah - Drexel University
- Publication Details
- International journal of gaming and computer-mediated simulations, v 8(3), pp 39-58
- Publisher
- Igi Global
- Number of pages
- 20
- Grant note
- 1250243 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Education
- Web of Science ID
- WOS:000391060000004
- Scopus ID
- 2-s2.0-84978289220
- Other Identifier
- 991019168358704721
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- Web of Science research areas
- Computer Science, Interdisciplinary Applications