Applying <strong>the</strong> Science <strong>of</strong> Learning to Multimedia Instruction 103instruction—namely, a collection <strong>of</strong> 12 evidence-based principles forhow to design effective multimedia instruction. The benefits to <strong>psychology</strong>are reflected in <strong>the</strong> science <strong>of</strong> multimedia <strong>learning</strong>—namely, a cognitive<strong>the</strong>ory <strong>of</strong> how people learn from educationally relevant situationsinvolving words <strong>and</strong> pictures. In short, this chapter demonstrates thatapplying <strong>the</strong> science <strong>of</strong> <strong>learning</strong> to education is a reciprocal activity thatmutually challenges <strong>and</strong> benefits both <strong>psychology</strong> <strong>and</strong> education.This chapter is also an example <strong>of</strong> how <strong>the</strong> same research project canhave both a basic research goal <strong>and</strong> an applied research goal. In his book,Pasteur’sQuadrant, Stokes (1997) argues that instead <strong>of</strong> viewing applied <strong>and</strong>basic research as two poles on a continuum, it makes more sense to view<strong>the</strong>m as two potentially overlapping research goals. Research that has onlya basic goal is pure basic research <strong>and</strong> research that has only an applied goalis pure applied research, but research that has both goals—as exemplifiedby Pasteur’s research—can be particularly powerful. Stokes refers to thiskind <strong>of</strong> research as ‘‘use-inspired basic research’’ (p. 73). The researchpresented in this chapter falls within Pasteur’s quadrant—having anapplied goal <strong>of</strong> discovering principles for how to design effective multimediainstruction <strong>and</strong> having a basic goal <strong>of</strong> contributing to a cognitive<strong>the</strong>ory <strong>of</strong> multimedia <strong>learning</strong>.If this chapter serves to stimulate fur<strong>the</strong>r work on applying <strong>the</strong> science<strong>of</strong> <strong>learning</strong> to education (Mayer, 2011), I will consider it to have been asuccess. The future <strong>of</strong> multimedia research is bright to <strong>the</strong> extent that itcontinues to serve <strong>the</strong> twin goals <strong>of</strong> contributing to both <strong>the</strong> science <strong>of</strong>instruction <strong>and</strong> <strong>the</strong> science <strong>of</strong> <strong>learning</strong>.ACKNOWLEDGMENTSPreparation <strong>of</strong> this chapter was supported by Grant N000140810018 from<strong>the</strong> Office <strong>of</strong> Naval Research.REFERENCESAtkinson, R. K., Mayer, R. E., & Merrill, M. M. (2005). Fostering social agency inmultimedia <strong>learning</strong>: Examining <strong>the</strong> impact <strong>of</strong> an animated agent’s voice. ContemporaryEducationalPsychology, 30, 117–139.Ayres, P. (2006). Impact <strong>of</strong> reducing intrinsic cognitive load on <strong>learning</strong> in a ma<strong>the</strong>maticaldomain. AppliedCognitive Psychology, 20, 287–298.Ayres, P., & Sweller, J. (2005). The split-attention principle in multimedia <strong>learning</strong>. InR. E. Mayer (Ed.), The Cambridge h<strong>and</strong>book <strong>of</strong> multimedia <strong>learning</strong> (pp. 135–146). NewYork: Cambridge University Press.Baddeley, A. D. (1999). Humanmemory.Boston: Allyn & Bacon.Bodemer, D., Ploetzner, R., Feuerlein, I., & Spada, H. (2004). The active integration <strong>of</strong>information during <strong>learning</strong> with dynamic <strong>and</strong> interactive visualisations. Learning<strong>and</strong>Instruction, 14, 325–341.
104 Richard E. MayerClark, R. C., & Mayer, R. E. (2008). e-Learning<strong>and</strong><strong>the</strong>science<strong>of</strong>instruction.San Francisco:Pfeiffer.Clarke, T., Ayres, P., & Sweller, J. (2005). The impact <strong>of</strong> sequencing <strong>and</strong> prior knowledgeon <strong>learning</strong> ma<strong>the</strong>matics through spreadsheet applications. Educational TechnologyResearch <strong>and</strong>Development, 53, 15–24.Cohen, J. (1988). Statisical power analysis for <strong>the</strong> behavioral sciences, 2nd ed. Hillsdale, NJ:Erlbaum.Comenius, J. A. (1887). Orbispictus.Syracuse, NY: C. W. Bardeen.Cuban, L. (1986).Teachers<strong>and</strong> machines:The classroomuse<strong>of</strong> technologysince1920. New York:Teachers College Press.Fletcher, J. D., & Tobias, S. (2005). The multimedia principle. In R. E. Mayer (Ed.),TheCambridge h<strong>and</strong>book <strong>of</strong> multimedia <strong>learning</strong> (pp. 117–134). New York: CambridgeUniversity Press.Ginns, P. (2005). Meta-analysis <strong>of</strong> <strong>the</strong> modality effect. Learning<strong>and</strong>Instruction, 15, 313–332.Ginns, P. (2006). Integrating information: A meta-analysis <strong>of</strong> spatial contiguity <strong>and</strong>temporal contiguity effects. Learning<strong>and</strong> Instruction, 16, 511–525.Graesser, A. C., Chipman, P., & King, B. G. (2008). Computer-mediated technologies. InJ. M. Spector., M. D. Merrill., J. van Merrienboer, <strong>and</strong> M. P. Driscoll (Eds.), H<strong>and</strong>book<strong>of</strong> research on educational communications <strong>and</strong> technology , 3rd ed. (pp. 211–224). NewYork: Erlbaum.Hacker, D. J., Dunlosky, J, <strong>and</strong> Graesser, A. C. 2009 (Eds.), H<strong>and</strong>book <strong>of</strong> metacognition ineducation. New York: Routledge.Halpern, D. F., Graesser, A., & Hakel, M. (2007). 25<strong>learning</strong>principlestoguidepedagogy<strong>and</strong><strong>the</strong> design <strong>of</strong> <strong>learning</strong> environments. Washington, DC: American Psychological SocietyTaskforce on Life-Long Learning at Work <strong>and</strong> Home.Harp, S. F., & Mayer, R. E. (1997). The role <strong>of</strong> interest in <strong>learning</strong> from scientific text <strong>and</strong>illustrations: On <strong>the</strong> distinction between emotional interest <strong>and</strong> cognitive interest.Journal<strong>of</strong> EducationalPsychology, 89, 92–102.Harp, S. F., & Mayer, R. E. (1998). How seductive details do <strong>the</strong>ir damage: A <strong>the</strong>ory <strong>of</strong>cognitive interest in science <strong>learning</strong>. Journal <strong>of</strong>EducationalPsychology, 90, 414–434.Harskamp, E., Mayer, R. E., Suhre, C., & Jansma, J. (2007). Does <strong>the</strong> modality principlefor multimedia <strong>learning</strong> apply to science classrooms? Learning <strong>and</strong> Instruction, 18,465–477.Hattie, J. (2009).Visible<strong>learning</strong>.New York: Routledge.Jeung, H., Ch<strong>and</strong>ler, P., & Sweller, J. (1997). The role <strong>of</strong> visual indicators in dual sensorymode instruction. EducationalPsychology, 17, 329–433.Johnson, C. I., & Mayer, R. E. (2009). A testing effect with multimedia <strong>learning</strong>. Journal<strong>of</strong>Educational Psychology, 101, 621–629.Johnson, C. I., & Mayer, R. E. (2010). Applying <strong>the</strong> self-explanation principle to mulimedia<strong>learning</strong> in a computer-based game-like environment. Computers in HumanBehavior, 26, 1246–1252.Kalyuga, S. (2005). Prior knowledge principle in multimedia <strong>learning</strong>. In R. E. Mayer(Ed.), The Cambridge h<strong>and</strong>book <strong>of</strong> multimedia <strong>learning</strong> (pp. 325–337). New York:Cambridge University Press.Kalyuga, S., Ch<strong>and</strong>ler, P., & Sweller, J. (1998). Levels <strong>of</strong> expertise <strong>and</strong> instructional design.Human Factors, 40, 1–17.Kalyuga, S., Ch<strong>and</strong>ler, P., & Sweller, J. (2000). Incorporating learner experience into <strong>the</strong>design <strong>of</strong> multimedia instruction. Journal <strong>of</strong>EducationalPsychology, 92, 126–136.Kalyuga, S., Ch<strong>and</strong>ler, P., & Sweller, J. (2004). When redundant on-screen text inmultimedia technical instruction can interfere with <strong>learning</strong>. Human Factors, 46,567–581.
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xContributorsHenry L. Roediger, III
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xiiPrefaceand there has been much e
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38 John Sweller1. INTRODUCTIONCogni
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CHAPTERSIXThere Is Nothing So Pract
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CHAPTERSEVENThe Power of Comparison
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CHAPTEREIGHTThe Ubiquitous Patterns
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IndexAAcademic performancedrive the
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Index 303LLabor in vain, 28Language
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CONTENTS OF RECENT VOLUMESVolume 40
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Contents of Recent Volumes 311Under
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Contents of Recent Volumes 313Volum