Abstract
Evidence-based approaches to the design of the next generation of interactive distance education need to take into account established multimedia learning principles. Cognitive load theory is a theory that has significantly contributed to the development of such principles. It has applied our knowledge of major features and processing limitations of human cognitive architecture to enhancing the effectiveness of instructional methods and techniques. The paper describes major assumptions and principles of cognitive load theory followed by its general recommendations for instructional methods and techniques, and then by implications for the design of interactive multimedia learning in distance education.
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Abrami, P. C., Bernard, R. M., Bures, E. M., Borokhovski, E., & Tamim, R. M. (2011). Interaction in distance and online learning: using evidence and theory to improve practice. Journal of Computing in Higher Education, 23, 82–103.
Amadieu, F., Tricot, A., & Mariné, C. (2009a). Prior knowledge in learning from a non-linear electronic document: Disorientation and coherence of the reading sequences. Computers in Human Behavior, 25, 381–388.
Amadieu, F., van Gog, T., Paas, F., Tricot, A., & Mariné, C. (2009b). Effects of prior knowledge and concept-map structure on disorientation, cognitive load, and learning. Learning and Instruction, 19, 376–386.
Atkinson, R. K. (2002). Optimizing learning from examples using animated pedagogical agents. Journal of Educational Psychology, 94, 416–427.
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.
Atkinson, R. K., & Renkl, A. (2007). Interactive example-based learning environments: Using interactive elements to encourage effective processing of worked examples. Educational Psychology Review, 19, 375–386.
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.
Azevedo, R., & Cromley, J. G. (2004). Does training on self-regulated learning facilitate students’ learning with hypermedia? Journal of Educational Psychology, 96, 523–535.
Baddeley, A. D. (1986). Working memory. New York: Oxford University Press.
Bell, B. S., & Kozlowski, S. W. J. (2002). Adaptive guidance: Enhancing self-regulation, knowledge, and performance in technology-based training. Personnel Psychology, 55, 267–306.
Bétrancourt, M., & Bisseret, A. (1998). Integrating textual and pictorial information via pop-up windows: An experimental study. Behaviour & Information Technology, 17, 263–273.
Boucheix, J.-M., & Guignard, H. (2005). What animated illustrations conditions can improve technical document comprehension in young students? Format, signaling and control of the presentation. European Journal of Psychology of Education, 20, 369–388.
Bransford, J. D., Brown, A. L., & Cocking, R. R. (Eds.). (1999). How people learn: Mind, brain, experience, and school. Washington, DC: National Academy Press.
Cerpa, N., Chandler, P., & Sweller, J. (1996). Some conditions under which integrated computer-based training software can facilitate learning. Journal of Educational Computing Research, 15, 345–367.
Chandler, P., & Sweller, J. (1991). Cognitive load theory and the format of instruction. Cognition and Instruction, 8, 293–332.
Chen, S. Y., Fan, J.-P., & Macredie, R. D. (2006). Navigation in hypermedia learning systems: Experts vs. novices. Computers in Human Behavior, 22, 251–266.
Chen, C., & Rada, R. (1996). Interacting with hypertext: A meta-analysis of experimental studies. Human-Computer Interaction, 11, 125–156.
Chung, J., & Reigeluth, C. M. (1992). Instructional prescriptions for learner control. Educational Technology, 32, 14–20.
Cierniak, G., Scheiter, K., & Gerjets, P. (2009). Explaining the split-attention effect: Is the reduction of extraneous cognitive load accompanied by an increase in germane cognitive load? Computers in Human Behavior, 25, 315–324.
Cooper, G., Tindall-Ford, S., Chandler, P., & Sweller, J. (2001). Learning by imagining. Journal of Experimental Psychology: Applied, 7, 68–82.
Corbalan, G., Kester, L., & van Merriënboer, J. J. G. (2006). Towards a personalized task selection model with shared instructional control. Instructional Science, 34, 399–422.
Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24, 87–114.
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.
Crooks, S., White, D., Srinivasan, S., & Wang, Q. (2008). Temporal, but not spatial, contiguity effects while studying an interactive geographic map. Journal of Educational Multimedia and Hypermedia, 17, 145–169.
De Koning, B. B., Tabbers, H. K., Rikers, R. M. J. P., & Paas, F. (2007). Attention cueing as a means to enhance learning from an animation. Applied Cognitive Psychology, 21, 731–746.
Dillon, A., & Gabbard, R. (1998). Hypermedia as an educational technology: A review of the quantitative research literature on learner comprehension, control, and style. Review of Educational Research, 68, 322–349.
Erhel, S., & Jamet, E. (2006). Using pop-up windows to improve multimedia learning. Journal of Computer Assisted Learning, 22, 137–147.
Ericsson, K. A., & Kintsch, W. (1995). Long-term working memory. Psychological Review, 102, 211–245.
Federico, P.-A. (1980). Adaptive instruction: Trends and issues. In R. Snow, P.-A. Federico, & W. Montague (Eds.), Aptitude, learning, and instruction: Vol. 1, cognitive process analyses of aptitude (Vol. 1, pp. 1–26). Hillsdale, NJ: Erlbaum.
Federico, P.-A. (1999). Hypermedia environments and adaptive instruction. Computers in Human Behavior, 15, 653–692.
Florax, M., & Ploetzner, R. (2010). What contributes to the split-attention effect? The role of text segmentation, picture labelling, and spatial proximity. Learning and Instruction, 20, 216–224.
Gerjets, P., & Scheiter, K. (2007). Learner control in hypermedia environments. Educational Psychology Review, 19, 285–307.
Gerjets, P., Scheiter, K., Opfermann, M., Hesse, F. W., & Eysink, T. H. S. (2009). Learning with hypermedia: The influence of representational formats and different levels of learner control on performance and learning behavior. Computers in Human Behavior, 25, 360–370.
Gerjets, P., Scheiter, K., & Schuh, J. (2008). Information comparisons in example-based hypermedia environments: Supporting learners with processing prompts and an interactive comparison tool. Educational Technology Research and Development, 56, 73–92.
Ginns, P. (2006). Integrating information: A meta-analysis of the spatial contiguity and temporal contiguity effects. Learning and Instruction, 16, 511–525.
Hasler, B. S., Kersten, B., & Sweller, J. (2007). Learner control, cognitive load and instructional animation. Applied Cognitive Psychology, 21, 713–729.
Hegarty, M., Kriz, S., & Cate, C. (2003). The roles of mental animations and external animations in understanding mechanical systems. Cognition and Instruction, 21, 325–360.
Jeung, H., Chandler, P., & Sweller, J. (1997). The role of visual indicators in dual sensory mode instruction. Educational Psychology, 17, 329–343.
Kalyuga, S. (2006a). Assessment of learners’ organized knowledge structures in adaptive learning environments. Applied Cognitive Psychology, 20, 333–342.
Kalyuga, S. (2006b). Rapid cognitive assessment of learners’ knowledge structures. Learning and Instruction, 16, 1–11.
Kalyuga, S. (2007a). Enhancing instructional efficiency of interactive e-learning environments: A cognitive load perspective. Educational Psychology Review, 19, 387–399.
Kalyuga, S. (2007b). Expertise reversal effect and its implications for learner-tailored instruction. Educational Psychology Review, 19, 509–539.
Kalyuga, S. (2008). Relative effectiveness of animated and static diagrams: An effect of learner prior knowledge. Computers in Human Behavior, 23, 852–861.
Kalyuga, S. (2011). Cognitive load theory: How many types of load does it really need? Educational Psychology Review, 23, 1–19.
Kalyuga, S., Chandler, P., & Sweller, J. (1998). Levels of expertise and instructional design. Human Factors, 40, 1–17.
Kalyuga, S., Chandler, P., & Sweller, J. (1999). Managing split-attention and redundancy in multimedia instruction. Applied Cognitive Psychology, 13, 351–371.
Kalyuga, S., Chandler, P., & Sweller, J. (2000). Incorporating learner experience into the design of multimedia instruction. Journal of Educational Psychology, 92, 126–136.
Kalyuga, S., Chandler, P., & Sweller, J. (2001a). Learner experience and efficiency of instructional guidance. Educational Psychology, 21, 5–23.
Kalyuga, S., Chandler, P., & Sweller, J. (2004). When redundant on-screen text in multimedia technical instruction can interfere with learning. Human Factors, 46, 567–581.
Kalyuga, S., Chandler, P., Tuovinen, J., & Sweller, J. (2001b). When problem solving is superior to studying worked examples. Journal of Educational Psychology, 93, 579–588.
Kalyuga, S., & Plass, J. (2007). Managing cognitive load in instructional simulations. In M. B. Nunes & M. McPherson (Eds.), Proceedings of the IADIS international conference e-learning 2007 (Vol. 1, pp. 27–34). July 6–8, 2007, Lisbon, Portugal. International Association for Development of the Information Society (IADIS) Press.
Kester, L., Kirschner, P. A., van Merriënboer, J. J. G., & Baumer, A. (2001). Just-in-time information presentation and the acquisition of complex cognitive skills. Computers in Human Behavior, 17, 373–391.
Kirschner, F., Paas, F., & Kirschner, P. A. (2009). A cognitive load approach to collaborative learning: United brains for complex tasks. Educational Psychology Review, 21, 31–42.
Koedinger, K., & Aleven, V. (2007). Exploring the assistance dilemma in experiments with cognitive tutors. Educational Psychology Review, 19, 239–264.
Kotovsky, K., Hayes, J. R., & Simon, H. A. (1985). Why are some problems hard? Evidence from Tower of Hanoi. Cognitive Psychology, 17, 248–294.
Larkin, J. H., McDermott, J., Simon, D. P., & Simon, H. A. (1980). Models of competence in solving physics problems. Cognitive Science, 4, 317–345.
Leahy, W., & Sweller, J. (2011). Cognitive load theory, modality of presentation and the transient information effect. Applied Cognitive Psychology, 25(6), 943–951.
Lee, C. H., & Kalyuga, S. (2011a). Effectiveness of different pinyin presentation formats in learning Chinese characters: A cognitive load perspective. Language Learning, 61(4), 1–20.
Lee, C. H., & Kalyuga, S. (2011b). Effectiveness of on-screen pinyin in learning Chinese: An expertise reversal for multimedia redundancy effect. Computers in Human Behavior, 27, 11–15.
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.
Lin, B., & Hsieh, C. (2001). Web-based teaching and learner control: A research review. Computer & Education, 37, 377–386.
Locatis, C., Letourneau, G., & Banvard, R. (1989). Hypermedia and instruction. Educational Technology Research and Development, 37, 65–77.
Lowe, R. K. (2003). Animation and learning: Selective processing of information in dynamic graphics. Learning and Instruction, 13, 157–176.
Mautone, P. D., & Mayer, R. E. (2001). Signaling as a cognitive guide in multimedia learning. Journal of Educational Psychology, 93, 377–389.
Mayer, R. E. (2009). Multimedia learning (2nd ed.). New York, NY: Cambridge University Press.
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.
Mayer, R. E., DeLeeuw, K. E., & Ayres, P. (2007). Creating retroactive and proactive interference in multimedia learning. Applied Cognitive Psychology, 21, 795–809.
Mayer, R. E., Dow, G. T., & Mayer, S. (2003a). Multimedia learning in an interactive self-explaining environment: What works in the design of agent-based microworlds. Journal of Educational Psychology, 95, 806–812.
Mayer, R. E., Heiser, J., & Lonn, S. (2001). Cognitive constraints on multimedia learning: When presenting more material results in less understanding. Journal of Educational Psychology, 93, 187–198.
Mayer, R. E., & Johnson, C. I. (2008). Revising the redundancy principle in multimedia learning. Journal of Educational Psychology, 100, 380–386.
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.
Mayer, R. E., & Moreno, R. (2002). Animation as an aid to multimedia learning. Educational Psychology Review, 14, 87–99.
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38, 43–53.
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.
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.
Mayer, R. E., Sobko, K., & Mautone, P. D. (2003b). Social cues in multimedia learning: Role of speaker’s voice. Journal of Educational Psychology, 95, 419–425.
Merrill, D. (2002). First principles of instruction. Educational Technology Research and Development, 50, 43–59.
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81–97.
Moreno, R. (2007). Optimising learning from animations by minimising cognitive load: Cognitive and affective consequences of signalling and segmentation methods. Applied Cognitive Psychology, 21, 765–781.
Moreno, R., & Mayer, R. E. (1999). Cognitive principles of multimedia learning: The role of modality and contiguity. Journal of Educational Psychology, 91, 358–368.
Moreno, R., & Mayer, R. (2007). Interactive multimodal learning environments. Educational Psychology Review, 19, 309–326.
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.
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.
Morrison, G. R., & Anglin, G. J. (2005). Research on cognitive load theory: Application to e-learning. Educational Technology Research and Development, 53(3), 94–104.
Morrison, G. R., Ross, S. M., O’Dell, J. K., & Schultz, C. W. (1988). Adapting text presentations to media attributes: Getting more out of less in CBI. Computers in Human Behavior, 4, 65–75.
Niemec, P., Sikorski, C., & Walberg, H. (1996). Learner-control effects: A review of reviews and a meta-analysis. Journal of Educational Computing Research, 15, 157–174.
Nückles, M., Hübner, S., Dümer, S., & Renkl, A. (2010). Expertise reversal effects in writing-to-learn. Instructional Science, 38, 237–258.
Paas, F., Van Gerven, P. W. M., & Wouters, P. (2007). Instructional efficiency of animation: Effects of interactivity through mental reconstruction of static key frames. Applied Cognitive Psychology, 21, 783–793.
Penrose, R. (1999). The emperor’s new mind: Concerning computers, minds and the laws of Physics. Oxford: Oxford University Press.
Plass, J. L., Homer, B. D., & Hayward, E. O. (2009). Design factors for educationally effective animations and simulations. Journal of Computing in Higher Education, 21, 31–61.
Pociask, F. D., & Morrison, G. R. (2008). Controlling split attention and redundancy in physical therapy instruction. Educational Technology Research and Development, 56(4), 379–399.
Pollock, E., Chandler, P., & Sweller, J. (2002). Assimilating complex information. Learning and Instruction, 12, 61–86.
Reisslein, J., Atkinson, R. K., Seeling, P., & Reisslein, M. (2006). Encountering the expertise reversal effect with a computer-based environment on electrical circuit analysis. Learning and Instruction, 16, 92–103.
Renkl, A. (1997). Learning from worked-out examples: A study on individual differences. Cognitive Science, 21, 1–29.
Renkl, A., & Atkinson, R. K. (2003). Structuring the transition from example study to problem solving in cognitive skills acquisition: A cognitive load perspective. Educational Psychologist, 38, 15–22.
Ross, S. M. (1984). Matching the lesson to the student: Alternative adaptive designs for individualized learning systems. Journal of Computer-Based Instruction, 11, 42–47.
Ross, S. M., Morrison, G. R., & O’Dell, J. K. (1989). Uses and effects of learner control of context and instructional support in computer-based instruction. Educational Technology Research and Development, 37, 29–39.
Ross, S. M., & Rakow, E. (1982). Adaptive instructional strategies for teaching rules in mathematics. Educational Communications and Technology Journal, 30, 67–74.
Samaras, H., Giouvanakis, T., Bousiou, D., & Tarabanis, K. (2006). Towards a new generation of multimedia learning research. AACE Journal, 14, 3–30.
Schwan, S., & Garsoffky, B. (2004). The cognitive representation of filmic event summaries. Applied Cognitive Psychology, 18, 37–55.
Schwan, S., & Riempp, R. (2004). The cognitive benefits of interactive videos: Learning to tie nautical knots. Learning and Instruction, 14, 293–305.
Shapiro, A. M. (1999). The relationship between prior knowledge and interactive overviews during hypermedia-aided learning. Journal of Educational Computing Research, 20, 143–167.
Spector, M. J., Christensen, D. L., Sioutine, A. V., & McCormack, D. (2001). Models and simulations for learning in complex domains: using causal loop diagrams for assessment and evaluation. Computers in Human Behavior, 17, 517–545.
Steinberg, E. R. (1989). Cognition and learner control: A literature review, 1977–1988. Journal of Computer-Based Instruction, 16, 117–121.
Stoyanov, S., & Kirshner, P. (2004). Expert concept mapping method for defining the characteristics of adaptive e-learning: ALFANET project case. Educational Technology Research and Development, 52, 41–56.
Sweller, J. (2003). Evolution of human cognitive architecture. In B. Ross (Ed.), The psychology of learning and motivation (Vol. 43, pp. 215–266). San Diego: Academic Press.
Sweller, J. (2008). Human cognitive architecture. In J. M. Spector, M. D. Merrill, J. J. G. Van Merriënboer, & M. P. Driscoll (Eds.), Handbook of research on educational communications and technology (3rd ed., pp. 369–381). Hillsdale, NJ: Erlbaum.
Sweller, J. (2010). Element interactivity and intrinsic, extraneous, and germane cognitive load. Educational Psychology Review, 22, 123–138.
Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. New York: Springer.
Sweller, J., van Merriënboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10, 251–296.
Tabbers, H., Martens, R., & van Merriënboer, J. J. G. (2004). Multimedia instructions and cognitive load theory: Effects of modality and cueing. British Journal of Educational Psychology, 74, 71–81.
Tennyson, R. (1975). Adaptive instructional models for concept acquisition. Educational Technology, 15, 7–15.
Tennyson, R. D. (1980). Instructional control strategies and content structure as design variables in concept acquisition using computer-based instruction. Journal of Educational Psychology, 72, 525–532.
Tennyson, R. D., & Buttrey, T. (1980). Advisement and management strategies as design variables in computer-assisted instruction. Educational Communication and Technology Journal, 28, 169–176.
Tennyson, R. D., & Rothen, W. (1979). Management of computer-based instruction: Design of an adaptive control strategy. Journal of Computer-Based Instruction, 5, 126–134.
Tergan, S. (1997). Multiple views, contexts, and symbol systems in learning with hypertext/hypermedia: a critical review of research. Educational Technology. July–August, 5–18
Van Gog, T., Paas, F., & van Merriënboer, J. J. G. (2008). Effects of studying sequences of process-oriented and product-oriented worked examples on troubleshooting transfer efficiency. Learning and Instruction, 18, 211–222.
Van Merriënboer, J. J. G. (1990). Strategies for programming instruction in high school: Program completion vs. program generation. Journal of Educational Computing Research, 6, 265–287.
Van Merrienboer, J. J. G., Kirschner, P. A., & Kester, L. (2003). Taking the load off a learner’s mind: Instructional design principles for complex learning. Educational Psychologist, 38, 5–13.
Van Merriënboer, J. J. G., & Sweller, J. (2005). Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review, 17, 147–177.
Weiss, R., Knowlton, D., & Morrison, G. R. (2002). Principles for using animation in computer-based instruction: A theoretically based heuristic for effective design. Computers in Human Behavior, 18, 465–477.
Williams, M. D. (1996). Learner-control and instructional technologies. In D. H. Jonassen (Ed.), Handbook of research for educational communications and technology (pp. 957–983). New York: MacMillan.
Zacks, J. M., & Tversky, B. (2001). Event structure in perception and conception. Psychological Bulletin, 127, 3–21.
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Kalyuga, S. Interactive distance education: a cognitive load perspective. J Comput High Educ 24, 182–208 (2012). https://doi.org/10.1007/s12528-012-9060-4
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DOI: https://doi.org/10.1007/s12528-012-9060-4