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Elucidating the Mechanism of Spontaneous Diagram Use in Explanations: How Cognitive Processing of Text and Diagrammatic Representations Are Influenced by Individual and Task-Related Factors

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Diagrammatic Representation and Inference (Diagrams 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7352))

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Abstract

Although diagrams are considered effective tools for communication, students have been reported as lacking sufficient spontaneity in using diagrams when explaining what they have learned. This study examined the possible mechanism that relates text to diagram production in the process of providing written explanations. It puts forward the hypothesis that the production of text and diagrammatic representations shares the same cognitive processing resources, the allocation of which is influenced by individual factors like language ability and task-related factors like imageability of what needs to be explained. This hypothesis was tested on Japanese university students who were administered a passage (two versions varying in imageability) to read and subsequently explain in English or Japanese. A significant correlation was found between diagram use and English language competence (measured by TOEIC scores) - but only among students asked to explain the passage with lower imageability, and in English, providing support for the hypothesis.

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References

  1. Larkin, J.H., Simon, H.A.: Why a Diagram is (Sometimes) Worth Ten Thousand Words. Cognitive Science 11, 65–99 (1987)

    Article  Google Scholar 

  2. Ainsworth, S., Prain, V., Tytler, R.: Drawing to Learn in Science. Science 333, 1096–1097 (2011)

    Article  Google Scholar 

  3. Manalo, E., Uesaka, Y.: Drawing Attention to Diagram Use. Science 334, 761 (2011)

    Article  Google Scholar 

  4. Grawemeyer, B., Cox, R.: The Effect of Knowledge-of-External-Representations Upon Performance and Representational Choice in a Database Query Task. In: Blackwell, A., Marriott, K., Shimojima, A. (eds.) Diagrams 2004. LNCS (LNAI), vol. 2980, pp. 351–354. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  5. Uesaka, Y., Manalo, E.: Active Comparison as a Means of Promoting the Development of Abstract Conditional Knowledge and Appropriate Choice of Diagrams in Math Word Problem Solving. In: Barker-Plummer, D., Cox, R., Swoboda, N. (eds.) Diagrams 2006. LNCS (LNAI), vol. 4045, pp. 181–195. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  6. Bowen, G.M., Roth, W.-M.: Why Students Not Learn to Interpret Scientific Inscriptions. Research in Science Education 32, 303–327 (2002)

    Article  Google Scholar 

  7. Dufour-Janvier, B., Bednarz, N., Belanger, M.: Pedagogical Considerations Concerning the Problem of Representation. In: Janvier, C. (ed.) Problems of Representation in the Teaching and Learning of Mathematics, pp. 110–120. Erlbaum, Hillsdale (1987)

    Google Scholar 

  8. Kozhevnikov, M., Motes, M.A., Hegarty, M.: Spatial Visualization in Physics Problem Solving. Cognitive Science 31, 549–579 (2007)

    Article  Google Scholar 

  9. Mokros, J.R., Tinker, R.F.: The Impact of Microcomputer-Based Labs on Children’s Ability to Interpret Graphs. Journal of Research in Science Teaching 24, 369–383 (1987)

    Article  Google Scholar 

  10. Ichikawa, S.: Suugakuteki na Kangaekata wo Megutte no Soudan to Sidou [Case Report of Cognitive Counseling in Mathematical Thinking]. In: Ichikawa, S. (ed.) Gakusyuu wo Sasaeru Nintikaunsering: Shinrigaku to Kyouiku no Aratana Setten [Cognitive Counseling that Supports Learning: A New Approach Bridging Psychology and Education], pp. 36–61. Brain Press, Tokyo (1993)

    Google Scholar 

  11. Manalo, E., Uesaka, Y.: Quantity and Quality of Diagrams Used in Math Word Problem Solving: A Comparison Between New Zealand and Japanese Students. Refereed Papers of the NZARE (New Zealand Association for Research in Education) National Conference 2006. NZARE, Wellington. ERIC Document Reproduction Service No. ED518280 (2006)

    Google Scholar 

  12. Uesaka, Y., Manalo, E., Ichikawa, S.: What Kinds of Perceptions and Daily Learning Behaviors Promote Students’ Use of Diagrams in Mathematics Problem Solving? Learning and Instruction 17, 322–335 (2007)

    Article  Google Scholar 

  13. Uesaka, Y., Manalo, E., Ichikawa, S.: The Effects of Perception of Efficacy and Diagram Construction Skills on Students’ Spontaneous Use of Diagrams When Solving Math Word Problems. In: Goel, A.K., Jamnik, M., Narayanan, N.H. (eds.) Diagrams 2010. LNCS (LNAI), vol. 6170, pp. 197–211. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  14. Manalo, E., Uesaka, Y., Pérez-Kriz, S., Kato, M., Fukaya, T.: Science and Engineering Students’ Use of Diagrams During Note Taking Versus Explanation. Educational Studies (2012), doi:10.1080/03055698.2012.680577

    Google Scholar 

  15. Mayer, R.E.: Multimedia Learning. Cambridge University Press, New York (2001)

    Book  Google Scholar 

  16. Mayer, R.E., Anderson, R.B.: Animations Need Narrations: An Experimental Test of a Dual-Coding Hypothesis. Journal of Educational Psychology 83, 484–490 (1991)

    Article  Google Scholar 

  17. Mayer, R.E., Moreno, R.: A Split-Attention Effect in Multimedia Learning: Evidence for Dual Processing Systems in Working Memory. Journal of Educational Psychology 90, 312–320 (1998)

    Article  Google Scholar 

  18. Mayer, R.E., Sims, V.K.: For Whom is a Picture Worth a Thousand Words? Extensions of a Dual-Coding Theory of Multimedia Learning. Journal of Educational Psychology 84, 389–460 (1994)

    Article  Google Scholar 

  19. Mayer, R.E., Moreno, R.: Nine Ways to Reduce Cognitive Load in Multimedia Learning. Educational Psychologist 38, 43–52 (2003)

    Article  Google Scholar 

  20. Baddeley, A.D.: Working Memory. Oxford University Press, Oxford (1986)

    Google Scholar 

  21. Baddeley, A.D.: Human Memory. Allyn & Bacon, Boston (1998)

    Google Scholar 

  22. Cornoldi, C., Gobbo, C., Mazzoni, G.: On Metamemory-Memory Relationship: Strategy Availability and Training. International Journal of Behavioral Development 14, 101–121 (1991)

    Google Scholar 

  23. Baddeley, A.D.: Personal communication, February 24 (2012)

    Google Scholar 

  24. Baddeley, A.D.: The Episodic Buffer: A New Component of Working Memory? Trends in Cognitive Sciences 4, 417–423 (2000)

    Article  Google Scholar 

  25. Chandler, P., Sweller, J.: Cognitive Load Theory and the Format of Instruction. Cognition and Instruction 8, 293–332 (1991)

    Article  Google Scholar 

  26. Sweller, J.: Instructional Design in Technical Areas. ACER Press, Camberwell (1999)

    Google Scholar 

  27. Uesaka, Y., Manalo, E.: Task-related Factors that Influence the Spontaneous Use of Diagrams in Math Word Problems. Applied Cognitive Psychology (2011), doi:10.1002/acp.1816

    Google Scholar 

  28. How CDs and DVDs Work, http://www.explainthatstuff.com/cdplayers.html

  29. Chi, M.T.H., Siler, S.A., Jeong, H., Yamauchi, T., Hausmann, R.G.: Learning from Human Tutoring. Cognitive Science 25, 471–533 (2001)

    Article  Google Scholar 

  30. TOEIC-ETS Home, http://www.ets.org/toeic

  31. Ackerman, P.L.: Individual Differences in Information Processing: An Investigation of Intellectual Abilities and Task Performance During Practice. Intelligence 10, 101–139 (1986)

    Article  Google Scholar 

  32. Neisser, U., Boodoo, G., Bouchard, T.J., Halpern, D.E., Loehlin, J.C., Perloff, R., Sternberg, R.J., Urbina, S.: Intelligence: Knowns and Unknowns. American Psychologist 51, 77–101 (1996)

    Article  Google Scholar 

  33. Navon, D., Gopher, D.: On the Economy of the Human-Processing System. Psychological Review 86, 214–255 (1979)

    Article  Google Scholar 

  34. Norman, D.A., Bobrow, D.J.: On Data-Limited and Resource-Limited Processes. Cognitive Psychology 7, 44–64 (1975)

    Article  Google Scholar 

  35. Allport, G.W.: The Nature of Prejudice. Addison Wesley, New York (1954)

    Google Scholar 

  36. Kool, W., McGuire, J.T., Rosen, Z.B., Botvinick, M.M.: Decision Making and the Avoidance of Cognitive Demand. Journal of Experimental Psychology: General 139, 665–682 (2010)

    Article  Google Scholar 

  37. Mathews, N., Hunt, E., MacLeod, C.M.: Strategy Choice and Strategy Training in Sentence-Picture Verification. Journal of Verbal Learning and Verbal Behavior 19, 531–548 (1980)

    Article  Google Scholar 

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Manalo, E., Uesaka, Y. (2012). Elucidating the Mechanism of Spontaneous Diagram Use in Explanations: How Cognitive Processing of Text and Diagrammatic Representations Are Influenced by Individual and Task-Related Factors. 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_9

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  • DOI: https://doi.org/10.1007/978-3-642-31223-6_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31222-9

  • Online ISBN: 978-3-642-31223-6

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