Abstract
A major problem that learners face in comprehending animated diagrams is in decomposing the presented information into a form that furnishes appropriate raw material for building high quality mental models. This paper proposes an alternative to existing design approaches that shifts the prime focus from the nature of the external representation to the internal composition activity learners engage in during mental model construction.
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References
Lowe, R.K., Schnotz, W., Rasch, T.: Aligning affordances of graphics with learning task requirements. Applied Cognitive Psychology, 452–459 (2010)
Hegarty, M.: The cognitive science of visual-spatial displays: Implications for design. Topics in Cognitive Science, 1–29 (2011)
Schnotz, W., Lowe, R.K.: A unified view of learning from animated and static graphics. In: Lowe, R.K., Schnotz, W. (eds.) Learning with Animation: Research Implications for Design, pp. 304–356. Cambridge University Press, New York (2008)
de Koning, B.B., Tabbers, H.K., Rikers, R.M.J.P., Paas, F.: Towards a framework for attention cueing in instructional animations: Guidelines for research and design. Educational Psychology Review 21, 113–140 (2009)
Lowe, R.K., Boucheix, J.-M.: Cueing complex animations: Does direction of attention foster learning processes? Learning and Instruction 21, 650–663 (2011)
Kriz, S., Hegarty, M.: Top-down and bottom-up influences on learning from animations. International Journal of Human Computer Studies 65, 911–930 (2007)
Amadieu, F., Mariné, C., Laimay, C.: The attention-guiding effect and cognitive load in the comprehension of animations. Computers in Human Behavior 27, 36–40 (2011)
Mayer, R.E., Mathais, A., Wetzell, K.: Fostering understanding of multimedia messages through pre-training: Evidence for a two-stage theory of mental model construction. Journal of Experimental Psychology: Applied 8, 147–154 (2002)
Lowe, R., Boucheix, J.-M.: Learning from Animated Diagrams: How Are Mental Models Built? In: Stapleton, G., Howse, J., Lee, J. (eds.) Diagrams 2008. LNCS (LNAI), vol. 5223, pp. 266–281. Springer, Heidelberg (2008)
Mayer, R.E.: Research-Based Principles for Learning with Animation. In: Lowe, R.K., Schnotz, W. (eds.) Learning with Animation. Research Implications for Design, pp. 30–48. Cambridge University Press, New York (2008)
Johnson-Laird, P.N.: How We Reason. Oxford University Press, Oxford (2006)
Jahn, G., Knauff, M., Johnson-Laird, P.N.: Preferred mental models in reasoning about spatial relations. Memory & Cognition 35, 2075–2086 (2007)
Hyönä, J.: The use of eye movements in the study of multimedia learning. Learning and Instruction 20, 172–176 (2010)
Jarodzka, H., Scheiter, K., Gerjets, P., Van Gog, T.: In the eyes of the beholder: How experts and novices interpret dynamic stimuli. Learning and Instruction 20, 146–154 (2010)
Kurby, A., Zacks, J.: Segmentation in the perception and memory of events. Trends in Cognitive Science 12, 72–79 (2007)
Lowe, R.K., Boucheix, J.M.: Unfair Competition: Static. Cues in Animated Graphics. Poster presented at the Comprehension of Text and Graphic, SIG 2 Meeting, Tubingen, Germany (2010)
Khooshabeh, P., Hegarty, M.: Inferring Cross-Sections: When Internal Visualizations Are More Important Than Properties of External Visualizations. Human Computer Interaction 25(2), 119–147 (2010)
Lowe, R., Boucheix, J.-M.: Supporting Relational Processing in Complex Animated Diagrams. In: Stapleton, G., Howse, J., Lee, J. (eds.) Diagrams 2008. LNCS (LNAI), vol. 5223, pp. 391–394. Springer, Heidelberg (2008)
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Lowe, R., Boucheix, JM. (2012). Dynamic Diagrams: A Composition Alternative. In: Cox, P., Plimmer, B., Rodgers, P. (eds) Diagrammatic Representation and Inference. Diagrams 2012. Lecture Notes in Computer Science(), vol 7352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31223-6_24
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DOI: https://doi.org/10.1007/978-3-642-31223-6_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31222-9
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