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Creators/Authors contains: "Ma, Tianyu"

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  1. ; ; ; (, Proceedings of the 18th International Conference of the Learning Sciences - ICLS 2024)
    Lindgren, R; Asino, T I; Kyza, E A; Looi, C K; Keifert, D T; Suárez, E (Ed.)
    Our poster explores visualization methods for participation in an identity-aligned, multiplayer video game world for learning data science through relationship and community building. We extend methods of representing engagement and learning in both educational games and in data science education contexts. Using simulated game play data and screen capture records of interviews with middle school girls playing an early version of the game, we explore representations for individual and multiplayer learning. 
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  2. ; ; ; (, AERA Online Paper Repository)
    This paper reports on systematic literature review that examined learning theories and data collection and analysis methods used to study game-based learning in research on educational digital games for K-12 populations. Through electronic database, hand, and ancestral searches, we identified 25 empirical studies (29 educational games) published in peer-review journals that report evidence of how students learn through in-game and out-of-game data collection and analysis methods. Taking an approach to game-based learning as identity-driven and situated, we found that while games do not take such an approach to game-based learning, games tend to collect data on players’ social interactions and collaborative experiences. The review also highlighted the opportunity for providing real-time feedback and data to players during gameplay. 
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  3. ; ; ; (, Medical Image Analysis)