Abstract
The information that humans acquire can be divided into two categories. One category, biologically primary knowledge, is largely generic in nature leading to generic cognitive skills. It is critically important, and so we have evolved to acquire such skills without explicit tuition or conscious thought. The other category, biologically secondary knowledge, is largely domain specific, leading to domain-specific concepts and skills. This category consists of cultural knowledge that we are able to acquire but without the specific acquisition mechanisms of primary knowledge. Biologically secondary knowledge is the subject of almost all teaching and learning in educational contexts. Because we have not evolved to specifically acquire this knowledge, it is best acquired with explicit instruction and conscious effort. Cognitive load theory uses evolutionary educational psychology to determine the cognitive processes needed to acquire biologically secondary knowledge and the instructional procedures that, in accord with those cognitive processes, best facilitate learning. This chapter describes the theory and some of the more recent instructional procedures developed using the theory.
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References
Baddeley, A. (1999). Human memory. Boston, MA: Allyn & Bacon.
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewoods Cliffs, NJ: Prentice Hall.
Campbell, D. (1960). Blind variation and selective retention in creative thought as in other knowledge processes. Psychol Rev, 67, 380–400.
Chandler, P., & Sweller, J. (1991). Cognitive load theory and the format of instruction. Cogn Instr, 8, 293–332.
Chen, O., Kalyuga, S., & Sweller, J. (2015). The worked example effect, the generation effect, and element interactivity. J Educ Psychol, 107, 689–704.
Darwin C (1871/2003) The descent of man. London: Gibson Square
Geary, D. (2005). The origin of mind: Evolution of brain, cognition, and general intelligence. Washington, DC: American Psychological Association.
Geary, D. (2007). Educating the evolved mind: Conceptual foundations for an evolutionary educational psychology. In J. S. Carlson & J. R. Levin (Eds.), Psychological perspectives on contemporary educational issues (pp. 1–99). Greenwich: Information Age Publishing.
Geary, D. (2008). An evolutionarily informed education science. Educ Psychol, 43, 179–195.
Geary, D. (2012). Evolutionary educational psychology. In K. Harris, S. Graham, & T. Urdan (Eds.), APA educational psychology handbook (Vol. 1, pp. 597–621). Washington, DC: American Psychological Association.
Hsu, C.-Y., Kalyuga, S., & Sweller, J. (2015). When should guidance be presented in physics instruction? Arch Sci Psychol, 3, 37–53.
Jablonka, E., & Lamb, M. J. (2005). Evolution in four dimensions: Genetic, epigenetic, behavioral, and symbolic variation in the history of life. Cambridge, MA: MIT Press.
Kalyuga, S., Chandler, P., Tuovinen, J., & Sweller, J. (2001). When problem solving is superior to studying worked examples. J Educ Psychol, 93, 579–588.
Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). The expertise reversal effect. Educ Psychol, 38, 23–31.
Kirschner, P., Sweller, J., & Clark, R. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential and inquiry-based teaching. Educ Psychol, 41, 75–86.
Klahr, D., & Nigam, M. (2004). The equivalence of learning paths in early science instruction: Effects of direct instruction and discovery learning. Psychol Sci, 15, 661–667.
Leahy, W., & Sweller, J. (2011). Cognitive load theory, modality of presentation and the transient information effect. Appl Cogn Psychol, 25, 943–951.
Mayer, R. (2004). Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. Am Psychol, 59, 14–19.
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychol Rev, 63, 81–97.
Mousavi, S. Y., Low, R., & Sweller, J. (1995). Reducing cognitive load by mixing auditory and visual presentation modes. J Educ Psychol, 87, 319–334.
Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice Hall.
Peterson, L., & Peterson, M. J. (1959). Short-term retention of individual verbal items. J Exp Psychol, 58, 193–198.
Pollock, E., Chandler, P., & Sweller, J. (2002). Assimilating complex information. Learn Instr, 12, 61–86.
Popper, K. (1979). Objective knowledge: An evolutionary approach. Oxford, UK: Clarendon.
Simon, H., & Gilmartin, K. (1973). A simulation of memory for chess positions. Cogn Psychol, 5, 29–46.
Slamecka, N., & Graf, P. (1978). The generation effect: Delineation of a phenomenon. J Exp Psychol Hum Learn Mem, 4, 592–604.
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.
Sweller, J. (2010). Element interactivity and intrinsic, extraneous and germane cognitive load. Educ Psychol Rev, 22, 123–138.
Sweller, J. (2012). Human cognitive architecture: Why some instructional procedures work and others do not. In K. Harris, S. Graham, & T. Urdan (Eds.), APA educational psychology handbook (Vol. 1, pp. 295–325). Washington, DC: American Psychological Association.
Sweller, J., & Sweller, S. (2006). Natural information processing systems. Evol Psychol, 4, 434–458.
Sweller, J., van Merrienboer, J. J., & Paas, F. G. (1998). Cognitive architecture and instructional design. Educ Psychol Rev, 10, 251–296.
Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. New York, NY: Springer.
Tricot, A., & Sweller, J. (2014). Domain-specific knowledge and why teaching generic skills does not work. Educ Psychol Rev, 26, 265–283. doi:10.1007/s10648-013-9243-1.
West-Eberhard, M. (2003). Developmental plasticity and evolution. New York, NY: Oxford University Press.
Wong, A., Leahy, W., Marcus, N., & Sweller, J. (2012). Cognitive load theory, the transient information effect and e-learning. Learn Instr, 22, 449–457. doi:10.1016/j.learninstruc.2012.05.004.
Youssef-Shalala, A., Ayres, P., Schubert, C., & Sweller, J. (2014). Using a general problem-solving strategy to promote transfer. J Exp Psychol Appl, 20, 215–231.
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Sweller, J. (2023). Cognitive Load Theory: What We Learn and How We Learn. In: Spector, J.M., Lockee, B.B., Childress, M.D. (eds) Learning, Design, and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-17461-7_50
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