Educational Psychology Review

, Volume 19, Issue 3, pp 387–399 | Cite as

Enhancing Instructional Efficiency of Interactive E-learning Environments: A Cognitive Load Perspective

  • Slava KalyugaEmail author


This concluding paper summarizes the main points and recommendations of the previous papers in this Special issue within a conceptual framework of cognitive load theory. Design of efficient interactive learning environments should take into account main features and limitations of our cognitive architecture. The paper provides a brief overview of this architecture and sources of cognitive load, considers their instructional implications for interactive e-learning environments, and analyzes methods for managing cognitive load and enhancing instructional efficiency of such environments.


Interactive learning Cognitive load Working memory 


  1. Anderson, J. R. (1993). Rules of the mind. Hillsdale, NJ: Erlbaum.Google Scholar
  2. 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. DOI  10.1007/s10648-007-9055-2.
  3. Baddeley, A. D. (1986). Working memory. New York: Oxford University Press.Google Scholar
  4. Clark, D. B., Sampson, V., Weinberger, A., & Erkens, G. (2007). Analytic frameworks for assessing dialogic argumentation in online learning environments. Educational Psychology Review, 19. DOI  10.1007/s10648-007-9050-7.
  5. Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24, 87–114.PubMedCrossRefGoogle Scholar
  6. Ericsson, K. A., & Kintsch, W. (1995). Long-term working memory. Psychological Review, 102, 211–245.PubMedCrossRefGoogle Scholar
  7. Kalyuga, S. (2005). Prior knowledge principle. In R. Mayer (Ed.), Cambridge handbook of multimedia learning (pp. 325–337). New York: Cambridge University Press.Google Scholar
  8. Kalyuga, S. (2006a). Instructing and testing advance learners: A cognitive load approach. NY: Nova Science.Google Scholar
  9. Kalyuga, S. (2006b). Assessment of learners’ organized knowledge structures in adaptive learning environments. Applied Cognitive Psychology, 20, 333–342.CrossRefGoogle Scholar
  10. Kalyuga, S., & Sweller, J. (2005). Rapid dynamic assessment of expertise to improve the efficiency of adaptive e-learning. Educational Technology Research and Development, 53, 83–93.CrossRefGoogle Scholar
  11. Koedinger, K. R., & Aleven, V. (2007). Exploring the assistance dilemma in experiments with cognitive tutors. Educational Psychology Review, 19. DOI  10.1007/s10648-007-9049-0.
  12. Kotovsky, K., Hayes, J. R., & Simon, H. A. (1985). Why are some problem hard? Evidence from Tower of Hanoi. Cognitive Psychology, 17, 248–294.CrossRefGoogle Scholar
  13. Lowe, R. (2004). Interrogation of a dynamic visualization during learning. Learning and Instruction, 14, 257–274.CrossRefGoogle Scholar
  14. 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.CrossRefGoogle Scholar
  15. 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.PubMedCrossRefGoogle Scholar
  16. Moreno, R., & Mayer, R. (2007). Interactive multimodal learning environments. Educational Psychology Review, 19. DOI  10.1007/s10648-007-9047-2.
  17. Nelson, B. C., & Ketelhut, D. J. (2007). Scientific inquiry in educational multi-user virtual environments. Educational Psychology Review, 19. DOI  10.1007/s10648-007-9048-1.
  18. Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
  19. 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.CrossRefGoogle Scholar
  20. Salden, R. J. C., Paas, F., Broers, N. J., & van Merriënboer, J. J. G. (2004). Mental effort and performance as determinants for the dynamic selection of learning tasks in air traffic control training. Instructional Science, 32, 153–172.CrossRefGoogle Scholar
  21. Scheiter, K., & Gerjets, P. (2007). Learner control in hypermedia environments. Educational Psychology Review, 19. DOI  10.1007/s10648-007-9046-3.
  22. Schnotz, W., & Rasch, T. (2005). Enabling, facilitation, and inhibiting effects of animations in multimedia learning: Why reduction of cognitive load can have negative results on learning. Educational Technology Research and Development, 53, 47–58.CrossRefGoogle Scholar
  23. Spiro, R. J., & Jehng, J. (1990). Cognitive flexibility and hypertext: Theory and technology for the nonlinear and multidimentional traversal of complex subject matter. In D. Nix & R. Spiro (Eds.). Cognition, education, and multimedia: Exploring ideas in high technology. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
  24. Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12, 257–285.CrossRefGoogle Scholar
  25. 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, CA: Academic.CrossRefGoogle Scholar
  26. Sweller, J. (2004). Instructional design consequences of an analogy between evolution by natural selection and human cognitive architecture. Instructional Science, 32, 9–31.CrossRefGoogle Scholar
  27. Sweller, J., & Levine, M. (1982). Effects of goal specificity on means-ends analysis and learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 8, 463–474.CrossRefGoogle Scholar
  28. Van Merriënboer, J., & Sweller, J. (2005). Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review, 17, 147–177.CrossRefGoogle Scholar
  29. Vygotsky, L. S. (1978). Mind in society. Cambridge, MA: Harvard University Press.Google Scholar
  30. Wouters, P., Tabbers, H. K., & Paas, F. (2007). Interactivity in video-based models. Educational Psychology Review, 19. DOI  10.1007/s10648-007-9045-4.

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  1. 1.University of New South WalesSydneyAustralia

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