Design Factors for Effective Science Simulations: Representation of Information

Design Factors for Effective Science Simulations: Representation of Information

Jan L. Plass, Bruce D. Homer, Catherine Milne, Trace Jordan, Slava Kalyuga, Minchi Kim, Hyunjeong Lee
ISBN13: 9781609605650|ISBN10: 1609605659|EISBN13: 9781609605667
DOI: 10.4018/978-1-60960-565-0.ch002
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MLA

Plass, Jan L., et al. "Design Factors for Effective Science Simulations: Representation of Information." Discoveries in Gaming and Computer-Mediated Simulations: New Interdisciplinary Applications, edited by Richard E. Ferdig, IGI Global, 2011, pp. 16-35. https://doi.org/10.4018/978-1-60960-565-0.ch002

APA

Plass, J. L., Homer, B. D., Milne, C., Jordan, T., Kalyuga, S., Kim, M., & Lee, H. (2011). Design Factors for Effective Science Simulations: Representation of Information. In R. Ferdig (Ed.), Discoveries in Gaming and Computer-Mediated Simulations: New Interdisciplinary Applications (pp. 16-35). IGI Global. https://doi.org/10.4018/978-1-60960-565-0.ch002

Chicago

Plass, Jan L., et al. "Design Factors for Effective Science Simulations: Representation of Information." In Discoveries in Gaming and Computer-Mediated Simulations: New Interdisciplinary Applications, edited by Richard E. Ferdig, 16-35. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-565-0.ch002

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Abstract

We argue that the effectiveness of simulations for science education depends on design features such as the type of representation chosen to depict key concepts. We hypothesize that the addition of iconic representations to simulations can help novice learners interpret the visual simulation interface and improve cognitive learning outcomes as well as learners’ self-efficacy. This hypothesis was tested in two experiments with high school chemistry students. The studies examined the effects of representation type (symbolic versus iconic), prior knowledge, and spatial ability on comprehension, knowledge transfer, and self-efficacy under low cognitive load (Study 1, N=80) and high cognitive load conditions (Study 2, N=91). Results supported our hypotheses that design features such as the addition of iconic representations can help scaffold students’ comprehension of science simulations, and that this effect was strongest for learners with low prior knowledge. Adding icons also improved learners’ general self-efficacy.

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