Using general problem-solving strategies to generate ideas in order to solve geography problems

Applied Cognitive Psychology

Volumn 26, Issue 6, 2012, Pages 872-877

  Youssef, Amina ^a   Ayres, Paul ^a   Sweller, John ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ARTICLE; FEMALE; GEOGRAPHY; HUMAN; HUMAN EXPERIMENT; MALE; NORMAL HUMAN; PRIORITY JOURNAL; PROBLEM SOLVING; STUDENT; TASK PERFORMANCE;

EID: 84870358382     PISSN: 08884080     EISSN: 10990720     Source Type: Journal    
DOI: 10.1002/acp.2888     Document Type: Article

References (20)

1. Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage.
2. Atkinson, R. K., Derry, S. J., Renkl, A., & Wortham, D. (2000). Learning from examples: Instructional principles from the worked examples research. Review of Educational Research, 70(2), 181-214.
3. Ayres, P. (1993). Why goal-free problems can facilitate learning. Contemporary Educational Psychology, 18, 376-381.
4. Bruner, J. S., Goodnow, J. J., & Austin, G. A. (1956). A study in thinking. New York: Wiley.
5. Chi, M. T. H., & Greeno, J. G. (1987). Cognitive research relevant to education. Annals of the New York Academy of Sciences, 517(1), 35-57.
6. Cooper, G., & Sweller, J. (1987). Effects of schema acquisition and rule automation on mathematical problem-solving transfer. Journal of Educational Psychology, 79(4), 347-362.
7. Geary, D. C. (2007). An integrative model of human brain, cognitive, and behavioral evolution. Acta Psychologica Sinica, 39(3), 383-397.
8. Geary, D. C. (2008). An evolutionary informed education science. Educational Psychologist, 43(4), 179-195.
9. 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.
10. Larkin, J. H., McDermott, J., Simon, D. P., & Simon, H. A. (1980). Expert and novice performance in solving physics problems. Science, 208(4450), 1335-1342.
11. Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice Hall.
12. Owen, E., & Sweller, J. (1985). What do students learn while solving mathematics problems. Journal of Educational Psychology, 77, 272-284.
13. 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.
14. Polya, G. (1957). How to solve it (2nd edn). Princeton, New Jersey: Princeton University Press.
15. Schoenfeld, A. H. (1982). Measures of problem-solving performance and of problem-solving instruction. Journal for Research in Mathematics Education, 13, 31-49.
16. Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12, 257-285.
17. 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.
18. 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.
19. Sweller, J., & Sweller, S. (2006). Natural information processing systems. Evolutionary Psychology, 4, 434-458.
20. Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. New York: Springer.