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The relationship between collaborative problem solving behaviors and solution outcomes in a game-based learning environment.
- Source :
-
Computers in Human Behavior . Mar2022, Vol. 128, pN.PAG-N.PAG. 1p. - Publication Year :
- 2022
-
Abstract
- Collaborative problem solving (CPS) is an essential skill for the 21st century workforce but remains difficult to assess. Understanding how CPS skills affect CPS performance outcomes can inform CPS training, task design, feedback design, and automated assessment. We investigated CPS behaviors (individually and in co-occurring patterns) in 101 (N = 303) remote triads who collaboratively played an educational game called Physics Playground for 45-min. Team interactions consisted of open-ended speech occurring over videoconferencing with screen sharing. We coded participant's utterances relative to a CPS framework consisting of three facets (i.e., competencies such as constructing shared knowledge) manifested in 19 specific indicators (e.g., responds to others' questions/ideas). A matching technique was used to isolate the effect of CPS behaviors on CPS outcomes (quality of solution of a game level) controlling for pertinent covariates. Mixed-effects ordinal regression models indicated that proposing solution ideas and discussing results were the major predictors of CPS performance, and that team-member activities surrounding idea generation mattered. These findings highlighted the importance of both individual and collective contributions and social and cognitive skills in successful CPS outcomes. • Investigated collaborative problem solving (CPS) behaviors among triads in a game-based learning environment. • Coded participants' video-recorded CPS behaviors using 19 specific indicators. • Identified frequently-occurring interactive patterns among triads during collaborative gameplay. • Examined how CPS indicators and patterns affected game outcomes (gold vs. silver vs. no coin). • Results indicate that a blend of social and cognitive behaviors were predictive of CPS performance. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 07475632
- Volume :
- 128
- Database :
- Academic Search Index
- Journal :
- Computers in Human Behavior
- Publication Type :
- Academic Journal
- Accession number :
- 154267699
- Full Text :
- https://doi.org/10.1016/j.chb.2021.107120