Abstract
The first step that we need to make in considering the manner in which human cognition is organised is to categorise knowledge. Different categories of knowledge may be acquired, organised and stored in different ways and require different instructional procedures. Understanding how we deal with different categories of knowledge is a requirement in determining which aspects of human cognition are important from an instructional design perspective.
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References
Bruner, J. (1961). The art of discovery. Harvard Educational Review, 31, 21–32.
Geary, D. C. (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. C. (2008). An evolutionarily informed education science. Educational Psychologist, 43, 179–195.
Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41, 75–86.
Klahr, D., & Nigam, M. (2004). The equivalence of learning paths in early science instruction: Effects of direct instruction and discovery learning. Psychological Science, 15, 661–667.
Mayer, R. E. (2004). Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. The American Psychologist, 59, 14–19.
Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs: Prentice Hall.
Polya, G. (1957). How to solve it: A new aspect of mathematical method. Garden City: Doubleday.
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12, 257–285.
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.
Sweller, J. (2004). Instructional design consequences of an analogy between evolution by natural selection and human cognitive architecture. Instructional Science, 32, 9–31.
Sweller, J. (2008). Instructional implications of David C. Geary’s evolutionary educational psychology. Educational Psychologist, 43, 214–216.
Sweller, J. (2009a). What human cognitive architecture tells us about constructivism Constructivist instruction: Success or failure? (pp. 127–143). New York: Routledge.
Sweller, J., & Cooper, G. A. (1985). The use of worked examples as a substitute for problem solving in learning algebra. Cognition and Instruction, 1, 59–89.
Sweller, J., Mawer, R. F., & Ward, M. R. (1983). Development of expertise in mathematical problem solving. Journal of Experimental Psychology: General, 112, 639–661.
Sweller, J., & Sweller, S. (2006). Natural information processing systems. Evolutionary Psychology, 4, 434–458.
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Sweller, J., Ayres, P., Kalyuga, S. (2011). Categories of Knowledge: An Evolutionary Approach. In: Cognitive Load Theory. Explorations in the Learning Sciences, Instructional Systems and Performance Technologies, vol 1. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8126-4_1
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DOI: https://doi.org/10.1007/978-1-4419-8126-4_1
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