Conference proceeding
"What else can I do?" Examining the Impact of Community Data on Adaptation and Quality of Reflection in an Educational Game
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, pp 1-12
01 Jan 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Adaptation, or ability and willingness to consider an alternative approach, is a critical component of learning through reflection, especially in educational games, where there are often multiple avenues to success. As a domain, educational games have shown increased interest in using retrospective visualizations to promote and support reflection. Such visualizations, which can facilitate comparison with peer data, may also have an impact on adaptation in educational games. This has, however, not been empirically examined within the domain. In this work, we examine how comparison with other players' data influenced adaptation, a part of reflection, in the context of a game that teaches parallel programming. Our results indicate that comparison with peers does significantly impact willingness to try a different approach, but suggest that there may also be other ways. We discuss what these results mean for future use of retrospective visualizations in educational games and present opportunities for future work.
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Details
- Title
- "What else can I do?" Examining the Impact of Community Data on Adaptation and Quality of Reflection in an Educational Game
- Creators
- Erica Kleinman - Univ Calif Santa Cruz, Santa Cruz, CA USAJennifer Villareale - Drexel UniversityMurtuza N. Shergadwala - Univ Calif Santa Cruz, Santa Cruz, CA USAZhaoqing Teng - Univ Calif Santa Cruz, Santa Cruz, CA USAAndy Bryant - Univ Calif Santa Cruz, Santa Cruz, CA USAJichen Zhu - IT University of CopenhagenACM
- Publication Details
- Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, pp 1-12
- Publisher
- Assoc Computing Machinery
- Number of pages
- 12
- Grant note
- 1917855 / National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Games, Artificial Intelligence, and Media Systems (GAIMS) Center
- Web of Science ID
- WOS:001037809500028
- Scopus ID
- 2-s2.0-85160020447
- Other Identifier
- 991022207058504721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Robotics