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Abstract

Multimedia instruction consists of instructional messages that contain words (such as printed or spoken text) and pictures (such as illustrations, diagrams, photos, animation, or video). The rationale for multimedia instruction is that people can learn more deeply from words and pictures than from words alone. Multimedia instruction began with the publication of Comenius’ Orbis Pictus (The World in Pictures) in the 1600s, and has progressed to a wide array of computer-based multimedia learning experiences that are available anytime and anywhere. The science of learning—that is, a research-based account of how people learn—is necessary for designing effective multimedia instruction. Meaningful multimedia learning occurs when the learner engages in appropriate cognitive processing during learning, including attending to relevant words and pictures, organizing words and pictures into coherent representations, and integrating the representations with each other and with knowledge activated from long-term memory. Successful instructional methods for improving learning with multimedia include research-based principles for reducing extraneous processing during learning, managing essential processing during learning, and fostering generative processing during learning.

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References

  • Atkinson, R. K. (2002). Optimizing learning from examples using animated pedagogical agents. Journal of Educational Psychology, 94, 416–427.

    Article  Google Scholar 

  • Atkinson, C. (2008). Beyond bullet points. Redmond, WA: Microsoft Press.

    Google Scholar 

  • Atkinson, R. K., Mayer, R. E., & Merrill, M. M. (2005). Fostering social agency in multimedia learning: Examining the impact of an animated agent’s voice. Contemporary Educational Psychology, 30, 117–139.

    Article  Google Scholar 

  • Ayres, P. (2006). Impact of reducing intrinsic cognitive load on learning in a mathematical domain. Applied Cognitive Psychology, 20, 287–298.

    Article  Google Scholar 

  • Ayres, P., & Sweller, J. (2005). The split attention principle in multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 135–146). New York, NY: Cambridge University Press.

    Chapter  Google Scholar 

  • Baddeley, A. D. (1986). Working memory. Oxford, England: Oxford University Press.

    Google Scholar 

  • Baddeley, A. D. (1999). Human memory. Boston, MA: Allyn & Bacon.

    Google Scholar 

  • Baggett, P. (1984). Role of temporal overlap of visual and auditory material in forming dual media associations. Journal of Educational Psychology, 76, 408–417.

    Article  Google Scholar 

  • Baggett, P., & Ehrenfeucht, A. (1983). Encoding and retaining information in the visuals and verbals of an educational movie. Educational Communications and Technology Journal, 31, 23–32.

    Google Scholar 

  • Bodemer, D., Ploetzner, R., Feuerlein, I., & Spada, H. (2004). The active integration of information during learning with dynamic and interactive visualisations. Learning and Instruction, 14, 325–341.

    Article  Google Scholar 

  • Boker, J. (1974). Immediate and delayed retention effects of interspersing questions in written instructional passages. Journal of Educational Psychology, 66, 96–98.

    Article  Google Scholar 

  • Boucheix, J.-M., & Lowe, R. K. (2010). An eye-tracking comparison of external pointing cues and internal continuous cues in learning with complex animations. Learning and Instruction, 20, 123–135.

    Article  Google Scholar 

  • Bransford, J. D., Zech, L., Schwartz, D., Barron, B., Vye, N., & The Cognition and Technology Group at Vanderbilt. (1996). Fostering mathematical understanding in middle school students: Lessons from research. In R. J. Sternberg & T. Ben-Zeev (Eds.), The nature of mathematical thinking (pp. 203–250). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Brenner, M. E., Mayer, R. E., Moseley, B., Brar, T., Duran, R., Reed, B. S., et al. (1997). Learning by understanding: The role of multiple representations in learning algebra. American Educational Research Journal, 34, 663–689.

    Article  Google Scholar 

  • Brunken, R., Plass, J., & Moreno, R. (Eds.). (2010). Cognitive load theory. New York, NY: Cambridge University Press.

    Google Scholar 

  • Chandler, P., & Sweller, J. (1991). Cognitive load theory and the format of instruction. Cognition and Instruction, 8, 293–332.

    Article  Google Scholar 

  • Chandler, P., & Sweller, J. (1992). The split-attention effect as a factor in the design of instruction. British Journal of Educational Psychology, 62, 233–246.

    Article  Google Scholar 

  • *Clark, R. C., & Mayer, R. E. (2008). e-Learning and the science of instruction. San Francisco: Pfeiffer

    Google Scholar 

  • Clarke, T., Ayres, P., & Sweller, J. (2005). The impact of sequencing and prior knowledge on learning mathematics through spreadsheet applications. Educational Technology Research and Development, 53, 15–24.

    Article  Google Scholar 

  • Cleveland, W. S. (1985). The elements of graphing data. Pacific Grove, CA: Wadsworth.

    Google Scholar 

  • Comenius, J. A. (1887). Orbis pictus. [The world in pictures: Nomenclature and pictures of all of the chief things in the world and men’s employments therein]. Syracuse, NY: C.W. Bardeen. Originally published in 1658.

    Google Scholar 

  • Craig, S. D., Gholson, B., & Driscoll, D. M. (2002). Animated pedagogical agents in multimedia educational environments: Effects of agent properties, picture features, and redundancy. Journal of Educational Psychology, 94, 428–434.

    Article  Google Scholar 

  • Cuban, L. (1986). Teachers and machines. New York, NY: Teachers College Press.

    Google Scholar 

  • de Jong, T. (2005). The guided discovery principle in multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 215–228). New York, NY: Cambridge University Press.

    Chapter  Google Scholar 

  • de Jong, T. (2011). Instruction based on computer simulations. In R. E. Mayer & P. A. Alexander (Eds.), Handbook of research on learning and instruction (pp. 446–466). New York, NY: Routledge.

    Google Scholar 

  • de Koning, B. B., Tabbers, H., Rikers, R. M. J. P., & Paas, F. (2007). Attention guidance in learning a complex animation: Seeing is understanding? Learning and Instruction, 20, 111–122.

    Article  Google Scholar 

  • de Koning, B. B., Tabbers, H., Rikers, R. M. J. P., & Paas, F. (2010). Attention cueing as a means to enhance learning from animation. Applied Cognitive Psychology, 21, 731–746.

    Article  Google Scholar 

  • Diao, Y., & Sweller, J. (2007). Redundancy in foreign language reading comprehension instruction: Concurrent written and spoken presentations. Learning and Instruction, 17, 78–88.

    Article  Google Scholar 

  • Few, S. (2004). Show me the numbers. Oakland, CA: Analytics Press.

    Google Scholar 

  • Flemming, M., & Levie, W. H. (Eds.). (1993). Instructional message design (2nd ed.). Englewood Cliffs, NJ: Educational Technology.

    Google Scholar 

  • Fletcher, J. D., & Tobias, S. (2005). The multimedia principle. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 117–134). New York, NY: Cambridge University Press.

    Chapter  Google Scholar 

  • Garner, R., Brown, R., Sanders, S., & Menke, D. (1992). Seductive details and learning from text. In K. A. Renninger, S. Hidi, & A. Krapp (Eds.), The role of interest in learning and development (pp. 239–254). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Gerjets, P., Scheiter, K., & Catrambone, R. (2006). Can learning from molar and modular worked examples be enhanced by providing instructional explanations and prompting self-explanations? Learning and Instruction, 16, 104–121.

    Article  Google Scholar 

  • Ginns, P. (2005). Meta-analysis of the modality effect. Learning and Instruction, 15, 313–332.

    Article  Google Scholar 

  • Ginns, P. (2006). Integrating information: A meta-analysis of spatial contiguity and temporal contiguity effects. Learning and Instruction, 16, 511–525.

    Article  Google Scholar 

  • Goldin-Meadow, S. (2003). Hearing gesture: How our hands help us think. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Graesser, A. C., Chipman, P., & King, B. G. (2008). Computer-mediated technologies. In J. M. Spector, M. D. Merrill, J. van Merrienboer, & M. C. Driscoll (Eds.), Handbook of research on educational communications and technology (3rd ed., pp. 211–224). New York, NY: Routledge.

    Google Scholar 

  • Halpern, D. F., Graesser, A., & Hakel, M. (2007). 25 Learning principles to guide pedagogy and the design of learning environments. Washington, DC: American Psychological Society Taskforce on Life Long Learning at Work and at Home. (http://psyc.memphis.edu/learning)

  • Harp, S. F., & Mayer, R. E. (1997). The role of interest in learning from scientific text and illustrations: On the distinction between emotional interest and cognitive interest. Journal of Educational Psychology, 89, 92–102.

    Article  Google Scholar 

  • Harp, S. F., & Mayer, R. E. (1998). How seductive details do their damage: A theory of cognitive interest in science learning. Journal of Educational Psychology, 90, 414–434.

    Article  Google Scholar 

  • Harskamp, E., Mayer, R. E., Suhre, C., & Jansma, J. (2007). Does the modality principle for multimedia learning apply to science classrooms? Learning and Instruction, 18, 465–477.

    Article  Google Scholar 

  • Hattie, J. (2009). Visible learning. London: Routledge.

    Google Scholar 

  • Hattie, J., & Gan, M. (2011). Instruction based on feedback. In R. E. Mayer & P. A. Alexander (Eds.), Handbook of research on learning and instruction (pp. 249–271). New York, NY: Routledge.

    Google Scholar 

  • Hegarty, M., & Kriz, S. (2007). Effects of knowledge and spatial ability on learning from animation. In R. Lowe & W. Schnotz (Eds.), Learning with animation (pp. 3–29). New York, NY: Cambridge University Press.

    Google Scholar 

  • Hidi, S., & Baird, W. (1986). Interestingness: A neglected variable in discourse processing. Cognitive Science, 10, 179–194.

    Google Scholar 

  • Hostetter, A. B. (2011). When do gestures communicate? A meta-analysis. Psychological Bulletin, 137, 297–315.

    Article  Google Scholar 

  • Ido, R., Aleven, V., McLaren, B., & Koedinger, K. R. (2011). Improving students’ help-seeking skills using metacognitive feedback in an intelligent tutoring system. Learning and Instruction, 21, 267–280.

    Article  Google Scholar 

  • Jamet, E., & Le Bohec, O. (2007). The effect of redundant text in multimedia instruction. Contemporary Educational Psychology, 32, 588–598.

    Article  Google Scholar 

  • Jeung, H., Chandler, P., & Sweller, J. (1997). The role of visual indicators in dual sensory mode instruction. Educational Psychology, 17, 329–433.

    Article  Google Scholar 

  • Johnson, C. I., & Mayer, R. E. (2009). A testing effect with multimedia learning. Journal of Educational Psychology, 101, 621–629.

    Article  Google Scholar 

  • Johnson, C. I., & Mayer, R. E. (2010). Applying the self-explanation principle to multimedia learning in a computer-based game-like environment. Computers in Human Behavior, 26, 1246–1252.

    Article  Google Scholar 

  • Kalyuga, S., Chandler, P., & Sweller, J. (1998). Levels of expertise and instructional design. Human Factors, 40, 1–17.

    Article  Google Scholar 

  • Kalyuga, S., Chandler, P., & Sweller, J. (1999). Managing split-attention and redundancy in multimedia instruction. Applied Cognitive Psychology, 13, 351–371.

    Article  Google Scholar 

  • Kalyuga, S., Chandler, P., & Sweller, J. (2000). Incorporating learner experience into the design of multimedia instruction. Journal of Educational Psychology, 92, 126–136.

    Article  Google Scholar 

  • Kester, L., Kirschner, P. A., & van Merrienboer, J. G. G. (2004). Timing of information presentation in learning statistics. Instructional Science, 32, 233–252.

    Article  Google Scholar 

  • Kester, L., Kirschner, P. A., & van Merrienboer, J. J. G. (2005). The management of cognitive load during complex cognitive skill acquisition by means of computer-simulated problem solving. British Journal of Educational Psychology, 75, 71–85.

    Article  Google Scholar 

  • Kester, L., Kirschner, P. A., & van Merrienboer, J. J. G. (2006). Just-in-time information presentation: Improving learning a troubleshooting skill. Contemporary Educational Psychology, 31, 167–185.

    Article  Google Scholar 

  • Kosslyn, S. M. (2006). Graph design for eye and mind. New York, NY: Oxford University Press.

    Book  Google Scholar 

  • Kosslyn, S. M. (2007). Clear and to the point. New York, NY: Oxford University Press.

    Google Scholar 

  • Leahy, W., Chandler, P., & Sweller, J. (2003). When auditory presentations should and should not be a component of multimedia instruction. Applied Cognitive Psychology, 17, 401–418.

    Article  Google Scholar 

  • Lee, H., Plass, J. L., & Homer, B. D. (2006). Optimizing cognitive load for learning from computer-based science simulations. Journal of Educational Psychology, 98, 902–913.

    Article  Google Scholar 

  • Lefevre, W. (2004). Picturing machines 1400–1700. Cambridge, MA: MIT.

    Google Scholar 

  • Lehman, S., Schraw, G., McCrudden, M. T., & Hartley, K. (2007). Processing and recall of seductive details in scientific text. Contemporary Educational Psychology, 32, 569–587.

    Article  Google Scholar 

  • Levin, J. R., Anglin, G. J., & Carney, R. N. (1987). On empirically validating functions of pictures in prose. In D. M. Willows & H. A. Houghton (Eds.), The psychology of illustration (Vol. 1, pp. 51–85). New York, NY: Springer.

    Chapter  Google Scholar 

  • Levin, J. R., & Mayer, R. E. (1993). Understanding illustrations in text. In B. K. Britton, A. Woodward, & M. Binkley (Eds.), Learning from textbooks (pp. 95–113). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Lillard, A. S. (2005). Montessori: The science behind the genius. New York, NY: Oxford Press.

    Google Scholar 

  • Loman, N. L., & Mayer, R. E. (1983). Signaling techniques that increase the understandability of expository prose. Journal of Educational Psychology, 75, 402–412.

    Article  Google Scholar 

  • Lorch, R. F. (1989). Text-signaling devices and their effects on reading and memory processes. Educational Psychology Review, 1, 209–234.

    Article  Google Scholar 

  • Lorch, R. F., & Lorch, E. P. (1996). Effects of organizational signals on free recall of expository text. Journal of Educational Psychology, 87, 537–544.

    Article  Google Scholar 

  • Lorch, R. F., Lorch, E. P., & Inman, W. E. (1993). Effects of signaling the topic structure of a text. Journal of Educational Psychology, 85, 281–290.

    Article  Google Scholar 

  • Lowe, R., & Schnotz, W. (Eds.). (2008). Learning with animation. New York, NY: Cambridge University Press.

    Google Scholar 

  • Lusk, M. M., & Atkinson, R. K. (2007). Animated pedagogical agents: Does the degree of embodiment impact learning from static and animated worked out examples? Applied Cognitive Psychology, 21, 747–764.

    Article  Google Scholar 

  • Mandl, H., & Levin, J. R. (Eds.). (1989). Knowledge acquisition from text and pictures. Amsterdam, The Netherlands: Elsevier.

    Google Scholar 

  • Mautone, P. D., & Mayer, R. E. (2001). Signaling as a cognitive guide in multimedia learning. Journal of Educational Psychology, 93, 377–389.

    Article  Google Scholar 

  • Mautone, P. D., & Mayer, R. E. (2007). Cognitive aids for guiding graph comprehension. Journal of Educational Psychology, 99, 640–652.

    Article  Google Scholar 

  • Mayer, R. E. (1989). Systematic thinking fostered by illustrations in scientific text. Journal of Educational Psychology, 81, 240–246.

    Article  Google Scholar 

  • *Mayer, R. E. (Ed.). (2005). The Cambridge handbook of multimedia learning. New York: Cambridge University Press.

    Google Scholar 

  • Mayer, R. E. (2008). Applying the science of learning: Evidence-based principles for the design of multimedia instruction. American Psychologist, 63(8), 760–769.

    Article  Google Scholar 

  • *Mayer, R. E. (2009). Multimedia learning (2nd ed). New York: Cambridge University Press.

    Google Scholar 

  • *Mayer, R. E. (2011). Applying the science of learning. Upper Saddle River, NJ: Pearson.

    Google Scholar 

  • Mayer, R. E., & Anderson, R. B. (1991). Animations need narrations: An experimental test of a dual-coding hypothesis. Journal of Educational Psychology, 83, 484–490.

    Article  Google Scholar 

  • Mayer, R. E., & Anderson, R. B. (1992). The instructive animation: Helping students build connections between words and pictures in multimedia learning. Journal of Educational Psychology, 84, 444–452.

    Article  Google Scholar 

  • Mayer, R. E., Bove, W., Bryman, A., Mars, R., & Tapangco, L. (1996). When less is more: Meaningful learning from visual and verbal summaries of science textbook lessons. Journal of Educational Psychology, 88, 64–73.

    Article  Google Scholar 

  • Mayer, R. E., & Chandler, P. (2001). When learning is just a click away: Does simple user interaction foster deeper understanding of multimedia messages? Journal of Educational Psychology, 93, 390–397.

    Article  Google Scholar 

  • Mayer, R. E., Dow, G., & Mayer, R. E. (2003). Multimedia learning in an interactive self-explaining environment: What works in the design of agent-based microworlds? Journal of Educational Psychology, 95, 806–813.

    Article  Google Scholar 

  • Mayer, R. E., Fennell, S., Farmer, L., & Campbell, J. (2004). A personalization effect in multimedia learning: Students learn better when words are in conversational style rather than formal style. Journal of Educational Psychology, 96, 389–395.

    Article  Google Scholar 

  • Mayer, R. E., & Gallini, J. K. (1990). When is an illustration worth ten thousand words? Journal of Educational Psychology, 82, 715–726.

    Article  Google Scholar 

  • Mayer, R. E., Griffith, E., Naftaly, I., & Rothman, D. (2008). Increased interestingness of extraneous details leads to decreased learning. Journal of Experimental Psychology: Applied, 14, 329–339.

    Article  Google Scholar 

  • Mayer, R. E., Heiser, H., & Lonn, S. (2001). Cognitive constraints on multimedia learning: When presenting more material results in less understanding. Journal of Educational Psychology, 93, 187–198.

    Article  Google Scholar 

  • Mayer, R. E., & Jackson, J. (2005). The case for conciseness in scientific explanations: Quantitative details can hurt qualitative understanding. Journal of Experimental Psychology: Applied, 11, 13–18.

    Article  Google Scholar 

  • Mayer, R. E., & Johnson, C. I. (2008). Revising the redundancy principle in multimedia learning. Journal of Educational Psychology, 100, 380–386.

    Article  Google Scholar 

  • Mayer, R. E., Mathias, A., & Wetzell, K. (2002). 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.

    Article  Google Scholar 

  • Mayer, R. E., Mautone, P., & Prothero, W. (2002). Pictorial aids for learning by doing in a multimedia geology simulation game. Journal of Educational Psychology, 94, 171–185.

    Article  Google Scholar 

  • Mayer, R. E., & Moreno, R. E. (1998). A split-attention effect in multimedia learning: Evidence for dual processing systems in working memory. Journal of Educational Psychology, 90, 312–320.

    Article  Google Scholar 

  • Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38, 43–52.

    Article  Google Scholar 

  • Mayer, R. E., Moreno, R., Boire, M., & Vagge, S. (1999). Maximizing constructivist learning from multimedia communications by minimizing cognitive load. Journal of Educational Psychology, 91, 638–643.

    Article  Google Scholar 

  • Mayer, R. E., & Sims, V. K. (1994). For whom is a picture worth a thousand words? Extensions of a dual-coding theory of multimedia learning? Journal of Educational Psychology, 86, 389–401.

    Article  Google Scholar 

  • Mayer, R. E., Sims, V., & Tajika, H. (1995). A comparison of how textbooks teach mathematical problem solving in Japan and the United States. American Educational Research Journal, 32, 443–460.

    Google Scholar 

  • Mayer, R. E., Sobko, K., & Mautone, P. D. (2003). Social cues in multimedia learning: Role of speaker’s voice. Journal of Educational Psychology, 95, 419–425.

    Article  Google Scholar 

  • Mayer, R. E., Steinhoff, K., Bower, G., & Mars, R. (1995). A generative theory of textbook design: Using annotated illustrations to foster meaningful learning of science text. Educational Technology Research and Development, 43, 31–43.

    Article  Google Scholar 

  • Mayer, R. E., & Wittrock, M. (2006). Problem solving. In P. A. Alexander & P. H. Winne (Eds.), Handbook of educational psychology (pp. 287–304). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • McLaren, B. M., Lim, S.-J., Gagnon, F., Yaron, D., & Koedinger, K. R. (2006). Studying the effects of personalized language and worked examples in the context of a web-based intelligent tutor. In M. Ikeda, K. D. Ashley, & T.-W. Chan (Eds.), Intelligent tutoring systems (pp. 318–328). Berlin: Springer.

    Chapter  Google Scholar 

  • Meyer, B. J. F. (1975). The organization of prose and its effects on memory. Amsterdam: North-Holland.

    Google Scholar 

  • Meyer, B. J. F., Brandt, D. M., & Bluth, G. J. (1980). Use of top-level structure in text: Key for reading comprehension of ninth-grade students. Reading Research Quarterly, 16, 72–103.

    Article  Google Scholar 

  • Michas, I. C., & Berry, D. (2000). Learning a procedural task: Effectiveness of multimedia presentations. Applied Cognitive Psychology, 14, 555–575.

    Article  Google Scholar 

  • Mohr, P., Glover, J., & Ronning, R. R. (1984). The effect of related and unrelated details on the recall of major ideas in prose. Journal of Reading Behavior, 16, 97–109.

    Google Scholar 

  • Moore, D. M., & Dwyer, F. M. (Eds.). (1994). Visual literacy. Englewood Cliffs, NJ: Educational Technology.

    Google Scholar 

  • Moreno, R., & Mayer, R. E. (1999a). Cognitive principles of multimedia learning: The role of modality and contiguity. Journal of Educational Psychology, 91, 358–368.

    Article  Google Scholar 

  • Moreno, R., & Mayer, R. E. (1999b). Multimedia-supported metaphors for meaning making in mathematics. Cognition and Instruction, 17, 215–248.

    Article  Google Scholar 

  • Moreno, R., & Mayer, R. E. (2000a). A coherence effect in multimedia learning: The case for minimizing irrelevant sounds in the design of multimedia messages. Journal of Educational Psychology, 92, 117–125.

    Article  Google Scholar 

  • Moreno, R., & Mayer, R. E. (2000b). Engaging students in active learning: The case for personalized multimedia messages. Journal of Educational Psychology, 92, 724–733.

    Article  Google Scholar 

  • Moreno, R., & Mayer, R. E. (2002a). Verbal redundancy in multimedia learning: When reading helps listening. Journal of Educational Psychology, 94, 156–163.

    Article  Google Scholar 

  • Moreno, R., & Mayer, R. E. (2002b). Learning science in virtual reality multimedia environments: Role of methods and media. Journal of Educational Psychology, 94, 598–610.

    Article  Google Scholar 

  • Moreno, R., & Mayer, R. E. (2004). Personalized messages that promote science learning in virtual environments. Journal of Educational Psychology, 96, 165–173.

    Article  Google Scholar 

  • Moreno, R., Mayer, R. E., Spires, H. A., & Lester, J. C. (2001). The case for social agency in computer-based teaching: Do students learn more deeply when they interact with animated pedagogical agents? Cognition and Instruction, 19, 177–213.

    Article  Google Scholar 

  • Moreno, R., & Ortegano-Layne, L. (2008). Using cases as thinking tools in teacher education: The role of presentation format. Educational Technology Research and Development, 56, 449–465.

    Article  Google Scholar 

  • Moreno, R., & Valdez, A. (2005). Cognitive load and learning effects of having students organize pictures and words in multimedia environments: The role of student interactivity and feedback. Educational Technology Research and Development, 53, 35–45.

    Article  Google Scholar 

  • Moreno, R., & Valdez, A. (2007). Immediate and delayed effects of using a classroom case exemplar in teacher education: The role of presentation format. Journal of Educational Psychology, 99, 194–206.

    Article  Google Scholar 

  • Mousavi, S. Y., Low, R., & Sweller, J. (1995). Reducing cognitive load by mixing auditory and visual presentation modes. Journal of Educational Psychology, 87, 319–334.

    Article  Google Scholar 

  • Nass, C., & Brave, S. (2005). Wired for speech: How voice activates and advances the human-computer relationship. Cambridge, MA: MIT.

    Google Scholar 

  • Naumann, J., Richter, T., Flender, J., Cristmann, U., & Groeben, N. (2007). Signaling in expository hypertexts compensates for deficits in reading skill. Journal of Educational Psychology, 99, 791–807.

    Article  Google Scholar 

  • O’Neil, H. F., Mayer, R. E., Herl, H. E., Niemi, C., Olin, K., & Thurman, R. A. (2000). Instructional strategies for virtual aviation training environments. In H. F. O’Neil & D. H. Andrews (Eds.), Aircrew training and assessment (pp. 105–130). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Paivio, A. (1971). Imagery and verbal processes. New York, NY: Holt, Rinehart, & Winston.

    Google Scholar 

  • Paivio, A. (1986). Mental representations: A dual coding approach. New York, NY: Oxford University Press.

    Google Scholar 

  • Paivio, A. (2001). Mind and its evolution: A dual-coding approach. Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Pashler, H., Bain, P., Bottage, B., Graesser, A., Koedinger, K., McDaniel, M., & Metcalfe, J. (2007). Organizing instruction and study to improve student learning (NCER 2007-2004). Washington, DC: National Center for Educational Research, Institute of Educational Sciences, U.S. Department of Education. (http://ncer.ed.gov)

  • Playfair, W. (2005). Playfield’s commercial and political atlas and statistical breviary. Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Ploetzner, R., Fehse, E., Kneser, C., & Spada, H. (1999). Learning to relate qualitative and quantitative problem representations in a model-based setting for collaborative problem solving. Journal of the Learning Sciences, 8, 177–214.

    Article  Google Scholar 

  • Pollock, E., Chandler, P., & Sweller, J. (2002). Assimilating complex information. Learning and Instruction, 12, 61–86.

    Article  Google Scholar 

  • Renkl, A. (2005). The worked-out example principle in multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 229–246). New York, NY: Cambridge University Press.

    Chapter  Google Scholar 

  • Renkl, A. (2011). Instruction based on examples. In R. E. Mayer & P. A. Alexander (Eds.), Handbook of research on learning and instruction (pp. 272–295). New York, NY: Routledge.

    Google Scholar 

  • Roediger, H. L., & Karpicke, J. D. (2006). The power of testing memory: Basic research and implications for educational practice. Perspectives on Psychological Science, 17, 249–255.

    Google Scholar 

  • Rothkopf, E. Z. (1966). Learning from written materials: An exploration of the control of inspection by test-like events. American Educational Research Journal, 3, 241–249.

    Article  Google Scholar 

  • Rothkopf, E. Z., & Bisbicos, E. (1967). Selective facilitative effects of interspersed questions on learning from written material. Journal of Educational Psychology, 58, 56–61.

    Article  Google Scholar 

  • Roy, M., & Chi, M. T. H. (2005). The self-explanation principle in multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 271–286). New York, NY: Cambridge University Press.

    Chapter  Google Scholar 

  • Sanchez, C. A., & Wiley, J. (2006). An examination of the seductive details effect in terms of working memory capacity. Memory and Cognition, 34, 344–355.

    Article  Google Scholar 

  • Schnotz, W., & Bannert, M. (2003). Construction and interference in learning from multiple representations. Learning and Instruction, 13, 141–156.

    Article  Google Scholar 

  • Schnotz, W., & Kulhahy, R. W. (Eds.). (1994). Comprehension of graphics. Amsterdam, The Netherlands: Elsevier.

    Google Scholar 

  • Shirey, L. (1992). Importance, interest, and selective attention. In K. A. Renninger, S. Hidi, & A. Krapp (Eds.), The role of interest in learning and development (pp. 281–296). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Shirey, L., & Reynolds, R. (1988). Effect of interest on attention and learning. Journal of Educational Psychology, 80, 159–166.

    Article  Google Scholar 

  • Shute, V. J. (2008). Focus on formative feedback. Review of Educational Research, 78, 153–189.

    Article  Google Scholar 

  • Stull, A., & Mayer, R. E. (2007). Learning by doing versus learning by viewing: Three experimental comparisons of learner-generated versus author-provided graphic organizers. Journal of Educational Psychology, 99, 808–820.

    Article  Google Scholar 

  • *Sweller, J. (1999). Instructional design in technical areas. Camberwell, Australia: ACER.

    Google Scholar 

  • *Sweller, J. (2005). Implications of cognitive load theory for multimedia learning. In R. E. Mayer (Ed.), Cambridge handbook of multimedia learning (pp. 19–30). New York: Cambridge University Press.

    Google Scholar 

  • Sweller, J., Chandler, P., Tierney, P., & Cooper, M. (1990). Cognitive load and selective attention as factors in the structuring of technical material. Journal of Experimental Psychology: General, 119, 176–192.

    Article  Google Scholar 

  • Tabbers, H. K., Martens, R. L., & van Merrienboer, J. J. G. (2004). Multimedia instruction and cognitive load theory: Effects of modality and cueing. British Journal of Educational Psychology, 74, 71–81.

    Article  Google Scholar 

  • Tindall-Ford, S., Chandler, P., & Sweller, J. (1997). When two sensory modalities are better than one. Journal of Experimental Psychology: Applied, 3, 257–287.

    Article  Google Scholar 

  • Tufte, E. R. (2001). The visual display of quantitative information (2nd ed.). Cheshire, CT: Graphics Press.

    Google Scholar 

  • Wade, S. (1992). How interest affects learning from text. In K. A. Renninger, S. Hidi, & A. Krapp (Eds.), The role of interest in learning and development (pp. 255–277). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Wade, S., & Adams, R. (1990). Effects of importance and interest on recall of biographical text. Journal of Reading Behavior, 22, 331–353.

    Google Scholar 

  • Wang, N., Johnson, W. L., Mayer, R. E., Rizzo, P., Shaw, E., & Collins, H. (2008). The politeness effect: Pedagogical agents and learning outcomes. International Journal of Human Computer Studies, 66, 96–112.

    Article  Google Scholar 

  • Willows, D. M., & Houghton, H. A. (Eds.). (1987). The psychology of illustration: Volume 1, basic research. New York, NY: Springer.

    Google Scholar 

  • Wittrock, M. C. (1989). Generative processes of comprehension. Educational Psychologist, 24, 345–376.

    Article  Google Scholar 

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Acknowledgment

Preparation of this chapter was supported by a grant from the Office of Naval Research.

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Correspondence to Richard E. Mayer .

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Mayer, R.E. (2014). Multimedia Instruction. In: Spector, J., Merrill, M., Elen, J., Bishop, M. (eds) Handbook of Research on Educational Communications and Technology. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3185-5_31

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