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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References
Mayer, R.E.: A Cognitive Theory of Multimedia Learning. In: Mayer, R.E. (ed.) Cambridge Handbook of Multimedia Learning. Cambridge University Press, New York (2005)
Mayer, R.E., Sims, V.K.: For Whom is a Picture Worth a Thousand Words? Extensions of Dual-coding Theory of Multimedia Learning. Journal of Educational Psychology 86, 389–401 (1994)
Narayanan, N.H., Hegarty, M.: On designing Comprehensible Interactive Hypermedia Manuals. International Journal of Human-Computer Studies 48, 267–301 (1998)
Schnotz, W.: An Integrated Model of Text and Picture Comprehension. In: Mayer, R.E. (ed.) Cambridge Handbook of Multimedia Learning, pp. 49–70. Cambridge University Press, New York (2005)
Lowe, R.K.: Extracting Information From an Animation During Complex Visual Learning. European Journal of Psychology of Education 14, 225–244 (1999)
Lowe, R.K.: Animation and learning: Selective Processing of Information in Dynamic Graphics. Learning and Instruction 13, 157–176 (2003)
Stenning, K.: Distinguishing Semantic from Processing Explanations of Usability of Representations: Applying Expressiveness Analysis to Animations. In: Lee, J. (ed.) Intelligence and Multimodality in Multimedia Interfaces: Research and Applications. AAAI Press, Menlo Park (1998)
Lowe, R.K.: Components of Expertise in the Perception and Interpretation of Meteorological Charts. In: Hoffman, R.R., Markman, A.B. (eds.) Interpreting Remote Sensing Imagery, pp. 185–206. Lewis, Boca Raton (2001)
Lowe, R.K.: Multimedia Learning of Meteorology. In: Mayer, R.E. (ed.) The Cambridge Handbook of Multimedia Learning, pp. 429–446. Cambridge University Press, New York (2005)
Boucheix, J.-M., Lowe, R.K., Soirat, A.: On-line Processing of a Complex Technical Animation: Eye Tracking Investigation During Verbal Description. Paper presented at the Text and Graphics Comprehension conference, University of Nottingham, UK (2006)
Lowe, R.K., Schnotz, W.: Animations and Temporal Manipulations: Supporting Comprehension of Complex Dynamic Information. In: Paper presented at the 12th European Conference for Research on Learning and Instruction, Budapest, Hungary (2007)
Lowe, R.K.: Learning with Animation: Lessons from Static Graphics. In: Paper presented at the 12th European Conference for Research on Learning and Instruction, Budapest, Hungary (2007)
Johnson-Laird, P.N.: Mental Models: Towards a Cogntive Science of Language, Inference and Consciousness. Cambridge University Press, Cambridge (1983)
Lowe, R.K.: Animated Documentation: A Way of Handling Complex Procedural Tasks? In: Alamargot, D., Terrier, P., Cellier, J.-M. (eds.) Written Documents in the Workplace, pp. 231–242. Elsevier, Amsterdam (2007)
Zacks, J.M., Tversky, B.: Event Structure in Perception and Conception. Psychological Bulletin 27, 3–21 (2001)
Zacks, J.M., Speer, N.K., Swallow, K.M., Braver, T.S., Reynolds, J.R.: Event Perception: A Mind/Brain Perspective. Psychological Bulletin 127, 273–293 (2007)
Wolfe, J.M., Horowitz, T.S.: What Attributes Guide the Deployment of Visual Attention and How Do They Do It? Nature Reviews Neuroscience 5, 1–7 (2004)
Lowe, R.K., Boucheix, J.-M.: Eye Tracking as a Basis for Improving Animation Design. In: Paper presented at the 12th European Conference for Research on Learning and Instruction, Budapest, Hungary (2007)
Alvarez, G.A., Franconeri, S.L.: How Many Objects Can You Track?: Evidence for a Resource-limited Attentive Tracking Mechanism. Journal of Vision 7, 1–10 (2007)
Wolfe, J.M., Place, S.S., Horowitz, T.S.: Multiple Object Juggling: Changing What is Tracked During Extended Multiple Object Tracking. Psychonomic Bulletin & Review 14, 344–349 (2007)
Wertheimer, M.: Laws of Organization in Perceptual Forms. In: Ellis, W. (ed.) A Source Book of Gestalt Psychology, pp. 71–88. Routledge, London (1938)
Lee, P., Klippel, A., Tappe, H.: The Effect of Motion in Graphical User Interfaces. In: Butz, A., Krüger, A., Olivier, P. (eds.) SG 2003. LNCS, vol. 2733, pp. 12–21. Springer, Heidelberg (2003)
Agam, Y., Sekuler, R.: Geometric Structure and Chunking in Reproduction of Motion Sequences. Journal of Vision 8, 1–12 (2008)
Michotte, A.: The Perception of Causality. Methuen, London (1963)
Kriz, S., Hegarty, M.: Top-down and Bottom-up Influences on Learning from Animations. International Journal of Man-Machine Studies 65, 911–930 (2007)
Lowe, R.K.: Interrogation of a Dynamic Visualisation During Learning. Learning & Instruction 14, 257–274 (2004)
Lowe, R.K.: Learning from animation: Where to Look, When to Look. In: Lowe, R.K., Schnotz, W. (eds.) Learning with Animation: Research Implications for Design, pp. 49–68. Cambridge University Press, New York (2008)
Ayres, P., Paas, F.: Can the Cognitive Load Approach Make Instructional Animations More Effective? Applied Cognitive Psychology 21, 811–820 (2007)
Burns, C.M.: Navigation Strategies with Ecological Displays. International Journal of Human-Computer Studies 52, 111–129 (2000)
Norman, D.A.: The Design of Everyday Things. Doubleday, New York (1991)
Naikar, N., Hopcroft, R., Moylan, A.: Work Domain Analysis: Theoretical Concepts and Methodology. Australian Government Department of Defence, Victoria (2005)
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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
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