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Learning from Animated Diagrams: How Are Mental Models Built?

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5223))

Abstract

Current approaches to the design of educational animations too often appear to be largely founded upon intuition rather than research-based principles. Animated diagrams designed to be behaviourally realistic run the risk of learners overlooking vital high relevance information that has low intrinsic perceptual salience. The information that learners extract from such representations is a poor basis upon which to build high quality dynamic mental models. For animated diagrams to be effective as tools for learning, their design should be based upon explicit and principled modeling of the way learners process such depictions. This paper synthesizes recent research to propose a theoretical framework for learners’ perceptual and conceptual processing of animated diagrams. A five-stage model is presented that characterizes the role of different levels of processing in building dynamic mental models of the depicted content.

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Gem Stapleton John Howse John Lee

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Lowe, R., Boucheix, JM. (2008). Learning from Animated Diagrams: How Are Mental Models Built?. In: Stapleton, G., Howse, J., Lee, J. (eds) Diagrammatic Representation and Inference. Diagrams 2008. Lecture Notes in Computer Science(), vol 5223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87730-1_25

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  • DOI: https://doi.org/10.1007/978-3-540-87730-1_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87729-5

  • Online ISBN: 978-3-540-87730-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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