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Domain-Specific Knowledge and Why Teaching Generic Skills Does Not Work

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Abstract

Domain-general cognitive knowledge has frequently been used to explain skill when domain-specific knowledge held in long-term memory may provide a better explanation. An emphasis on domain-general knowledge may be misplaced if domain-specific knowledge is the primary factor driving acquired intellectual skills. We trace the long history of attempts to explain human cognition by placing a primary emphasis on domain-general skills with a reduced emphasis on domain-specific knowledge and indicate how otherwise unintelligible data can be easily explained by assumptions concerning the primacy of domain-specific knowledge. That primacy can be explained by aspects of evolutionary educational psychology. Once the importance of domain-specific knowledge is accepted, instructional design theories and processes are transformed.

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References

  • Ackerman, P. L. (2000). Domain-specific knowledge as the "Dark matter" of adult intelligence: Gf/Gc, personality and interest correlates. Journals of Gerontology Series B-Psychological Sciences and Social Sciences, 55, 69–84.

    Article  Google Scholar 

  • Amadieu, F., Tricot, A., & Mariné, C. (2009). Effects of prior knowledge diversity on learning with a non-linear electronic document: Disorientation and coherence of the reading sequence. Computers in Human Behavior, 25, 381–388. doi:10.1016/j.chb.2008.12.017.

    Article  Google Scholar 

  • Anzai, Y., & Simon, H. A. (1979). Theory of learning by doing. Psychological Review, 86, 124–140. doi:10.1037//0033-295x.86.2.124.

    Article  Google Scholar 

  • Atkinson, R. C., & Shiffrin, R. M. (1968). Human memory: A proposed system and its control processes. In K. W. Spence & J. T. Spence (Eds.), The psychology of learning and motivation: Advances in research and theory (Vol. 2, pp. 89–195). New York: Academic Press.

    Google Scholar 

  • Baddeley, A. D., & Hitch, G. (1974). Working memory. In G. H. Bower (Ed.), The psychology of learning and motivation: Advances in research and theory (Vol. 8, pp. 47–89). New York: Academic Press.

    Google Scholar 

  • Bainbridge, L. (1975). Working memory in air-traffic control. Unpublished paper, University of Reading. Retrieved December 11, 2011, from http://www.bainbrdg.demon.co.uk/Papers/WMemory.html.

  • Binet, A. (1892). Le calculateur Jacques Inaudi [The calculator Jacques Inaudi]. Revue des deux Mondes, 111, 905–924.

    Google Scholar 

  • Binet, A. (1894). Psychologie des grands calculateurs et joueurs d’échecs [Psychology of great calculators and chess players]. Paris: Hachette.

    Google Scholar 

  • Bisseret, A. (1970). Mémoire opérationelle et structure du travail [Working memory and work structure]. Bulletin de Psychologie, 24, 280-294. English summary published in 1971: Analysis of mental processes involved in air traffic control. Ergonomics, 14, 565-570.

  • Brinch, C. N. (2012). Schooling in adolescence raises IQ scores. Proceedings of The National Academy of Sciences of The United States of America, 109, 425–430. doi:10.1073/pnas.1106077109.

    Article  Google Scholar 

  • Cahan, S., & Cohen, N. (1989). Age versus schooling effects on intelligence development. Child Development, 60, 1239–1249. doi:10.1111/j.1467-8624.1989.tb03554.x.

    Article  Google Scholar 

  • Chanquoy, L., Tricot, A., & Sweller, J. (2007). La charge cognitive. Paris: Armand Colin.

    Google Scholar 

  • Chase, W. G., & Ericsson, K. A. (1982). Skill and working memory. In G. H. Bower (Ed.), The psychology of learning and motivation (Vol. 16, pp. 1–58). New York: Academic Press.

    Google Scholar 

  • Chase, W. G., & Simon, H. A. (1973). Perception in chess. Cognitive Psychology, 4, 55–81. doi:10.1016/0010-0285(73)90004-2.

    Article  Google Scholar 

  • Chi, M. T. H. (1978). Knowledge structures and memory development. In R. Siegler (Ed.), Children’s thinking: What develops? (pp. 73–96). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Chi, M. T. H. (1993). Experts vs novices knowledge—A citation-classic commentary on categorization and representation of physics problems by experts and novices by Chi, M.T.H., Feltovich, P., Glaser, R. Current Contents/Social & Behavioral Sciences, 42, 8-8.

  • Chi, M. T. H., Feltovich, P. J., & Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121–152. doi:10.1207/s15516709cog0502_2.

    Article  Google Scholar 

  • Chiesi, H. L., Spilich, G. J., & Voss, J. F. (1979). Acquisition of domain-related information in relation to high and low domain knowledge. Journal of Verbal Learning and Verbal Behavior, 18, 257–273. doi:10.1016/s0022-5371(79)90146-4.

    Article  Google Scholar 

  • Cliffordson, C., & Gustafsson, J. E. (2008). Effects of age and schooling on intellectual performance: Estimates obtained from analysis of continuous variation in age and length of schooling. Intelligence, 36, 143–152. doi:10.1016/j.intell.2007.03.006.

    Article  Google Scholar 

  • Conway, A. R. A., Jarrold, C., Kane, M. J., Miyake, A., & Towse, J. (Eds.), (2007). Variation in working memory. Oxford University Press.

  • Cowan, N. (2005). Working memory capacity. Hove: Psychology Press.

    Book  Google Scholar 

  • De Groot, A. (1965). Thought and choice in chess. The Hague, The Netherlands: Mouton (Original work published 1946).

    Google Scholar 

  • Dehaene, S. (1997). The number sense. New York: Oxford University Press.

    Google Scholar 

  • Duncan, R. G. (2007). The role of domain-specific knowledge in generative reasoning about complicated multileveled phenomena. Cognition & Instruction, 25, 271–336.

    Article  Google Scholar 

  • Egan, D. E., & Schwartz, B. J. (1979). Chunking in recall of symbolic drawings. Memory & Cognition, 7, 149–158. doi:10.3758/bf03197595.

    Article  Google Scholar 

  • Ericsson, K. A. (1985). Memory skill. Canadian Journal of Psychology, 39, 188–231. doi:10.1037/h0080059.

    Article  Google Scholar 

  • Ericsson, K. A., & Charness, N. (1994). Expert performance—Its structure and acquisition. American Psychologist, 49, 725–747. doi:10.1037/0003-066x.49.8.725.

    Article  Google Scholar 

  • Ericsson, K. A., & Chase, W. G. (1982). Exceptional memory. American Scientist, 70, 607–615.

    Google Scholar 

  • Ericsson, K. A., & Kintsch, W. (1995). Long-term working-memory. Psychological Review, 102, 211–245. doi:10.1037//0033-295x.102.2.211.

    Article  Google Scholar 

  • Ericsson, K. A., & Lehmann, A. C. (1996). Expert and exceptional performance: Evidence of maximal adaptation to task constraints. Annual Review of Psychology, 47, 273–305. doi:10.1146/annurev.psych.47.1.273.

    Article  Google Scholar 

  • Ericsson, K. A., Krampe, R. T., & Teschromer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363–406. doi:10.1037/0033-295x.100.3.363.

    Article  Google Scholar 

  • Fayol, M. (1994). From declarative and procedural knowledge to the management of declarative and procedural knowledge. European Journal of Psychology of Education, 9, 179–190.

    Article  Google Scholar 

  • Flynn, J. R. (2007). What is intelligence? Beyond the Flynn effect. Cambridge, UK: Cambridge University Press.

    Book  Google Scholar 

  • Geary, D. C. (2008). An evolutionarily informed education science. Educational Psychologist, 43, 179–195. doi:10.1080/00461520802392133.

    Article  Google Scholar 

  • Geary, D. C. (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.

    Google Scholar 

  • Gijlers, H., & de Jong, T. (2005). The relation between prior knowledge and students’ collaborative discovery learning processes. Journal of Research in Science Teaching, 42, 264–282. doi:10.1002/tea.20056.

    Article  Google Scholar 

  • Greiff, S., Wüstenberg, S., Molnar, G., Fischer, A., Funke, J., & Csapo, B. (2013). Complex problem solving in educational settings—Something beyond g: Concept, assessment, measurement invariance, and construct validity. Journal of Educational Psychology, 105, 364–379. doi:10.1037/a0031856.

    Article  Google Scholar 

  • Herrnstein, R. J., & Murray, C. (1994). The Bell curve: Intelligence and class structure in American life. New York: Free Press.

    Google Scholar 

  • Jeffries, R., Turner, A., Polson, P., & Atwood, M. (1981). Processes involved in designing software. In J. R. Anderson (Ed.), Cognitive skills and their acquisition (pp. 255–283). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Kalyuga, S., Chandler, P., Tuovinen, J., & Sweller, J. (2001). When problem solving is superior to studying worked examples. Journal of Educational Psychology, 93, 579–588. doi:10.1037/0022-0663.93.3.579.

    Article  Google Scholar 

  • 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. Educational Psychologist, 41, 75–86.

    Article  Google Scholar 

  • Larkin, J. H., McDermott, J., Simon, D. P., & Simon, H. A. (1980). Models of competence in solving physics problems. Cognitive Science, 4, 317–345. doi:10.1207/s15516709cog0404_1.

    Article  Google Scholar 

  • Mandelbaum, E. (2013). Numerical architecture. Topics in Cognitive Science, 5, 367–386. doi:10.1111/tops.12014.

    Article  Google Scholar 

  • 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. doi:10.1037//1076-898x.8.3.147.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Miller, G. A., Galanter, E., & Pribram, K. H. (1960). Plans and the structure of behavior. New York: Holt, Rinehart & Winston.

    Book  Google Scholar 

  • Neisser, U., Boodoo, G., Bouchard, T. J., Boykin, A. W., Brody, N., Ceci, S. J., et al. (1996). Intelligence: Knowns and unknowns. American Psychologist, 51, 77–101. doi:10.1037/0003-066x.51.2.77.

    Article  Google Scholar 

  • Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

  • Nicolas, S., Gounden, Y., & Levine, Z. (2011). The memory of two great mental calculators: Charcot and Binet’s neglected 1893 experiments. American Journal of Psychology, 124, 235–242.

    Article  Google Scholar 

  • 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. Educational Psychology Review, 24, 27–45. doi:10.1007/s10648-011-9179-2.

    Article  Google Scholar 

  • Piaget, J. (1972). Intellectual evolution from adolescence to adulthood. Human Development, 15, 1–12.

    Article  Google Scholar 

  • Pollock, E., Chandler, P., & Sweller, J. (2002). Assimilating complex information. Learning & Instruction, 12, 61–86. doi:10.1016/s0959-4752(01)00016-0.

    Article  Google Scholar 

  • Rikers, R.M.J.P. (2009). Why is not everyone Albert Einstein? Implications of expertise research for educational practice. Cognitive Load Theory Conference, Open University of The Netherlands, Heerlen, March 2-4.

  • Schneider, W., Korkel, J., & Weinert, F. E. (1989). Domain-specific knowledge and memory performance: A comparison of high- and low-aptitude children. Journal of Educational Psychology, 81, 306–312. doi:10.1037/0022-0663.81.3.306.

    Article  Google Scholar 

  • Simon, H. A., & Gilmarti, K. (1973). Simulation of memory for chess positions. Cognitive Psychology, 5, 29–46. doi:10.1016/0010-0285(73)90024-8.

    Article  Google Scholar 

  • Simon, D. P., & Simon, H. A. (1978). Individual differences in solving physics problems. In R. Siegler (Ed.), Children’s thinking: What develops? (pp. 325–348). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Stein, E. S., Garland, D. J., & Muller, J. K. (2010). Air-traffic controller memory. In J.A. Wise, V.D. Hopkin, & D.J. Garland (Eds.). Handbook of aviation human factors (2nd Edition). (pp. 21-1–21-39). Boca Raton: CRC Press.

    Google Scholar 

  • Stelzl, I., Merz, F., Ehlers, T., & Remer, H. (1995). The effect of schooling on the development of fluid and crystallized intelligence: A quasi-experimental study. Intelligence, 21, 279–296. doi:10.1016/0160-2896(95)90018-7.

    Article  Google Scholar 

  • Sweller, J. (2011). Cognitive load theory. In J. Mestre & B. Ross (Eds.), The psychology of learning and motivation: Cognition in education (Vol. 55, pp. 37–76). Oxford: Academic Press.

    Google Scholar 

  • 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, D.C.: American Psychological Association.

    Google Scholar 

  • Sweller, J., & Cooper, G. (1985). The use of worked examples as a substitute for problem solving in learning algebra. Cognition & Instruction, 2, 59–89.

    Article  Google Scholar 

  • Sweller, J., & Sweller, S. (2006). Natural information processing systems. Evolutionary Psychology, 4, 434–458.

    Google Scholar 

  • Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. New York: Springer.

    Book  Google Scholar 

  • Yntema, D. B. (1963). Keeping track of several things at once. Human Factors, 5, 7–17.

    Google Scholar 

  • Yntema, D. B., & Mueser, G. E. (1960). Remembering the present states of a number of variables. Journal of Experimental Psychology, 60, 18–22. doi:10.1037/h0040055.

    Article  Google Scholar 

  • Yntema, D. B., & Mueser, G. E. (1962). Keeping track of variables that have few or many states. Journal of Experimental Psychology, 63, 391–395. doi:10.1037/h0045706.

    Article  Google Scholar 

  • Youssef, A., Ayres, P., & Sweller, J. (2012). Using general problem-solving strategies to generate ideas in order to solve geography problems. Applied Cognitive Psychology, 26, 872–877. doi:10.1002/acp.2888.

    Article  Google Scholar 

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Tricot, A., Sweller, J. Domain-Specific Knowledge and Why Teaching Generic Skills Does Not Work. Educ Psychol Rev 26, 265–283 (2014). https://doi.org/10.1007/s10648-013-9243-1

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