Abstract
According to cognitive load theory (CLT), the limitations of working memory (WM) in the learning of new tasks together with its ability to cooperate with an unlimited long-term memory (LTM) for familiar tasks enable human beings to deal effectively with complex problems and acquire highly complex knowledge and skills. With regard to WM, CLT has focused to a large extent on learning task characteristics, and to a lesser extent on learner characteristics to manage WM load and optimize learning through instructional design. With regard to LTM, explanations of human learning and cognition have mainly focused on domain-general skills, instead of domain-specific knowledge held in LTM. The contributions to this special issue provide a broader cognitive load view on the role of memory in learning and education by presenting the historical roots and conceptual development of the concept of WM, as well as the theoretical and practical implications of current debates about WM mechanisms (Cowan 2014), by presenting an updated model of cognitive load in which the physical learning environment is considered a distinct causal factor for WM load (Choi et al. 2014), by an experimental demonstration of the effects of persistent pain on the available WM resources for learning (Smith and Ayres 2014), and by using aspects of evolutionary educational psychology to argue for the primacy of domain-specific knowledge in human cognition (Tricot and Sweller 2014).
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References
Antonenko, P. D., Paas, F., Grabner, R., & Van Gog, T. (2010). Using electroencephalography to measure of cognitive load. Educ Psychol Rev, 22, 425–438.
Ayres, P. (1993). Why goal-free problems can facilitate learning. Contemp Educ Psychol, 18, 376–381.
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.
Ayres, P., & Sweller, J. (in press). The split-attention principle in multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning, 2 nd Edition. New York, NY: Cambridge University Press.
Baddeley, A. D. (1986). Working memory. New York: Oxford University Press.
Baddeley, A. D., & Hitch, G. J. (1974). Working memory. In G. Bower (Ed.), Recent advances in learning and motivation (Vol. VIII, pp. 47–90). New York, NY: Academic.
Bartlett, F. C. (1932). Remembering: a study in experimental and social psychology. Oxford, England: Macmillan.
Chandler, P., & Sweller, J. (1992). The split–attention effect as a factor in the design of instruction. Br J Educ Psychol, 62, 233–246.
Chi, M., Glaser, R., & Rees, E. (1982). Expertise in problem solving. In R. Sternberg (Ed.), Advances in the psychology of human intelligence (pp. 7–75). Hillsdale, NJ: Erlbaum.
Choi, H. H., Van Merriënboer, J. J. G., Paas, F. (2014). Effects of the physical environment on cognitive load and learning: towards a new model of cognitive load. Educational Psychology Review.
Cowan, N. (1988). Evolving conceptions of memory storage, selective attention, and their mutual constraints within the human information processing system. Psychol Bull, 104, 163–191.
Cowan, N. (2001). The magical number 4 in short-term memory: a reconsideration of mental storage capacity. Behav Brain Sci, 24, 87–114.
Cowan, N. (2014). Working memory underpins cognitive development, learning, and education. Educational Psychology Review.
Dick, B. D., & Rashiq, S. (2007). Disruption of attention and working memory traces in individuals with chronic pain. Anesthesia & Analgesia, 104, 1223–1229.
Ericsson, K. A., & Charness, N. (1994). Expert performance: its structure and acquisition. Am Psychol, 49, 725–747.
Eysenck, M. W. (1985). Anxiety and cognitive-task performance. Personal Individ Differ, 6, 574–586.
Fraser, K., Ma, I., Teteris, E., Baxter, H., Wright, B., & McLaughlin, K. (2012). Emotion, cognitive load and learning outcomes during simulation training. Med Educ, 46, 1055–1062.
Geary, D. C. (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, D.C.: American Psychological Association.
Kalyuga, S. (2007). Expertise reversal effect and its implications for learner-tailored instruction. Educ Psychol Rev, 19, 509–539.
Kalyuga, S., Chandler, P., & Sweller, J. (1999). Managing split-attention and redundancy in multimedia instruction. Appl Cogn Psychol, 13, 351–371.
Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). The expertise reversal effect. Educ Psychol, 38, 23–31.
Kalyuga, S., Rikers, R., & Paas, F. (2012). Educational implications of expertise reversal effects in learning and performance of complex cognitive and sensorimotor skills. Educ Psychol Rev, 24, 313–337.
Kotovsky, K., Hayes, J. R., & Simon, H. A. (1985). Why are some problems hard? Evidence from Tower of Hanoi. Cogn Psychol, 17, 248–294.
Liu, T.–. C., Lin, Y.–. C., Tsai, M.-J., & Paas, F. (2011). Split-attention and redundancy effects on mobile learning in physical environments. Comput Educ, 58, 172–180.
Liu, T. C., Lin, Y. C., & Paas, F. (2014). Effects of prior knowledge on learning from different compositions of representations in a mobile learning environment. Comput Educ, 72, 328–338.
Miller, G. (1956). The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol Rev, 63, 81–97.
Paas, F., & Sweller, J. (2012). An evolutionary upgrade of cognitive load theory: using the human motor system and collaboration to support the learning of complex cognitive tasks. Educ Psychol Rev, 24, 27–45.
Paas, F., Camp, G., & Rikers, R. (2001). Instructional compensation for age-related cognitive declines: effects of goal specificity in maze learning. J Educ Psychol, 93, 181.
Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design: recent developments. Educ Psychol, 38, 1–4.
Peterson, L., & Peterson, M. J. (1959). Short-term retention of individual verbal items. J Exp Psychol, 58, 193–198.
Ramirez, G., & Beilock, S. L. (2011). Writing about testing worries boosts exam performance in the classroom. Science, 331(6014), 211–213.
Schneider, W., & Shiffrin, R. M. (1977). Controlled and automatic human information processing: I. Detection, search, and attention. Psychol Rev, 84, 1–66.
Simon, H. A., & Gilmartin, K. (1973). A simulation of memory for chess positions. Cogn Psychol, 5, 29–46.
Smith, A., & Ayres, P. (2014). The impact of persistent pain on working memory and learning. Educational Psychology Review.
Sweller, J. (1988). Cognitive load during problem solving: effects on learning. Cogn Sci, 12, 257–285.
Sweller, J. (2008). Instructional implications of David C. Geary's evolutionary educational psychology. Educ Psychol, 43, 214–216.
Sweller, J., & Chandler, P. (1991). Evidence for cognitive load theory. Cogn Instr, 8, 351–362.
Sweller, J., Van Merriënboer, J. J. G., & Paas, F. (1998). Cognitive architecture and instructional design. Educ Psychol Rev, 10, 251–296.
Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory (vol. 1). New York: Springer.
Tricot, A., & Sweller, J. (2014). Domain-specific knowledge and why teaching generic skills does not work. Educational Psychology Review
Van Gerven, P. W. M., Paas, F., Van Merriënboer, J. J. G., & Schmidt, H. G. (2002). Cognitive load theory and aging: effects of worked examples on training efficiency. Learn Instr, 12, 87–105.
Van Gerven, P. W. M., Paas, F., Van Merriënboer, J. J. G., & Schmidt, H. G. (2004). Memory load and task-evoked pupillary responses in aging. Psychophysiology, 41, 167–175.
Vredeveldt, A., Hitch, G., & Baddeley, A. D. (2011). Eyeclosure helps memory by reducing cognitive load and enhancing visualisation. Memory & cognition, 39, 1253–1263.
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Paas, F., Ayres, P. Cognitive Load Theory: A Broader View on the Role of Memory in Learning and Education. Educ Psychol Rev 26, 191–195 (2014). https://doi.org/10.1007/s10648-014-9263-5
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DOI: https://doi.org/10.1007/s10648-014-9263-5