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11 - Principles for Managing Essential Processing in Multimedia Learning : Segmenting, Pretraining, and Modality Principles

Published online by Cambridge University Press:  05 June 2012

Richard E. Mayer
Affiliation:
University of California, Santa Barbara
Richard Mayer
Affiliation:
University of California, Santa Barbara
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Summary

Abstract

When a concise narrated animation containing complicated material is presented at a fast rate, the result can be a form of cognitive overload called essential overload. Essential overload occurs when the amount of essential cognitive processing (similar to intrinsic cognitive load) required to understand the multimedia instructional message exceeds the learner's cognitive capacity. Three multimedia design methods intended to minimize essential overload are the segmenting, pretraining, and modality principles. The segmenting principle is that people learn more deeply when a multimedia message is presented in learner-paced segments rather than as a continuous unit. This principle was supported in three out of three experimental tests, yielding a median effect size of 0.98. The pretraining principle is that people learn more deeply from a multimedia message when they know the names and characteristics of the main concepts. This principle was supported in seven out of seven experimental tests, yielding a median effect size of 0.92. The modality principle is that people learn more deeply from a multimedia message when the words are spoken rather than printed. This principle was supported in 21 out of 21 experimental tests, yielding a median effect size of 0.97.

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Publisher: Cambridge University Press
Print publication year: 2005

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References

Brunken, R., Plass, J. L., & Leutner, D. (2003). Direct measurement of cognitive load in multimedia learning. Educational Psychologist, 38, 53–62CrossRefGoogle Scholar
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum AssociatesGoogle Scholar
Cortina, J. M., & Nouri, H. (2000). Effect size for ANOVA designs. Thousand Oaks, CA: SageCrossRefGoogle 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, 428–434CrossRefGoogle Scholar
Jeung, H., Chandler, P., & Sweller, J. (1997). The role of visual indicators in dual sensory mode instruction. Educational Psychology, 17, 329–343CrossRefGoogle Scholar
Kalyuga, S., Chandler, P., & Sweller, J. (1999). Managing split-attention and redundancy in multimedia instruction. Applied Cognitive Psychology, 13, 351–3713.0.CO;2-6>CrossRefGoogle Scholar
Kalyuga, S., Chandler, P., & Sweller, J. (2000). Incorporating learner experience into the design of multimedia instruction. Journal of Educational Psychology, 92, 126–136CrossRefGoogle Scholar
Mayer, R. E. (2001). Multimedia learning. New York: Cambridge University PressCrossRefGoogle 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, 390–397CrossRefGoogle Scholar
Mayer, R. E., Dow, G., & Mayer, S. (2003). Multimedia learning in an interactive self-explaining environment: What works in the design of agent-based microworlds?Journal of Educational Psychology, 95, 806–813CrossRefGoogle 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, 147–154Google ScholarPubMed
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, 171–185CrossRefGoogle Scholar
Mayer, R. E., & Moreno, R. (1998). A split-attention effect in multimedia learning: Evidence for dual processing systems in working memory. Journal of Educational Psychology, 90, 312–320CrossRefGoogle Scholar
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38, 43–52CrossRefGoogle Scholar
Moreno, R., & Mayer, R. E. (1999). Cognitive principles of multimedia learning: The role of modality and contiguity. Journal of Educational Psychology, 91, 358–368CrossRefGoogle Scholar
Moreno, R., & Mayer, R. E. (2002). Learning science in virtual reality multimedia environments: Role of methods and media. Journal of Educational Psychology, 94, 598–610CrossRefGoogle Scholar
Moreno, R., Mayer, R. E., Spires, H., & Lester, J. (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, 177–214CrossRefGoogle Scholar
Mousavi, S. Y., Low, R., & Sweller, J. (1995). Reducing cognitive load by mixing auditory and visual presentation modes. Journal of Educational Psychology, 87, 319–334CrossRefGoogle 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 O'Neil, H. F. & Andrews, D. H. (Eds.), Aircrew training and assessment (pp. 105–130). Mahwah, NJ: ErlbaumGoogle Scholar
Paas, F., Tuovinen, J. E., Tabbers, H., & Gerven, P. W. M. (2003). Cognitive load measurement as a means to advance cognitive load theory. Educational Psychologist, 38, 63–72CrossRefGoogle Scholar
Pollock, E., Chandler, P., & Sweller, J. (2002). Assimilating complex information. Learning and Instruction, 12, 61–86CrossRefGoogle Scholar
Sweller, J. (1999). Instructional design in technical areas. Camberwell, Australia: ACER PressGoogle Scholar
Tinsdall-Ford, S., Chandler, P., & Sweller, J. (1997). When two sensory modes are better than one. Journal of Experimental Psychology: Applied, 3, 257–287Google Scholar

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