Cognitive, Metacognitive, and Motivational Aspects of Problem Solving

  • Richard E. Mayer
Chapter
Part of the Neuropsychology and Cognition book series (NPCO, volume 19)

Abstract

This chapter examines the role of cognitive, metacognitive, and motivational skills in problem solving. Cognitive skills include instructional objectives, components in a learning hierarchy, and components in information processing. Metacognitive skills include strategies for reading comprehension, writing, and mathematics. Motivational skills include motivation based on interest, selfefficacy, and attributions. All three kinds of skills are required for successful problem solving in academic settings.

Keywords

Reading Comprehension Educational Psychology Problem Solver Basic Skill Metacognitive Skill 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References

  1. Anand, P.G. and Ross, S.M. (1987). Using computer-assisted instruction to personalize arithmetic materials for elementary school children. Journal of Educational Psychology, 79, 72–78CrossRefGoogle Scholar
  2. Bean, T. W.. and Steenwyk, F..L. (1984). The effect of three forms of summarization instruction on sixth graders’ summary writing and comprehension. Journal of Reading Behavior. 16, 297–306.Google Scholar
  3. Block, J..11. and Bums, R..B. (1976). Mastery learning. in L.S. Shulman (Ed.), Review of Research in Education. Volume 4. Itsaca, IL: Peacock. Bloom, B.S. (1976). Human characteristics and school learning. New York: McGraw-Hill.Google Scholar
  4. Bloom, B.S., Englehart, M.D., Furst, Echrw(133)1, Hill, W.,H and Krathwohl, D. R. (1956). Taxonomy of educational objectives: The classification of educational goals. Handbook T. Cognitive domain. New York: McKay.Google Scholar
  5. Borkowski, J. G., Weyhing, R.S., and Carr, M. (1988). Effects of attributional retraining on strategy-based reading comprehension in learning disabled students. Journal ofEducational Psychology, 80, 46–53.CrossRefGoogle Scholar
  6. Brown, A..L. and Day, J.D. (1983). Macrorules for summarizing texts: The development of expertise. Journal of Verbal Learning and Verbal Behavior, 22, 1–14.CrossRefGoogle Scholar
  7. Chi, M..T. I1., Glaser, R., and Fart, M.. A (Ed.). (1988). The nature of expertise. Hillsdale, NJ: Erlbaum. Chipman, S.F., Segal, 1..W. and Glaser, R. (Eds.). (1985). Thinking and learning skills. Volume 2: Research and open questions. Hillsdale, NJ: Erlbaum.Google Scholar
  8. Cook, L.. K. and Mayer, R.E. (1988). Teaching readers about the structure of scientific text. Journal of Educational Psychology, 80, 448–456.CrossRefGoogle Scholar
  9. Dewey, J. (1913). Interest and effort in education. Cambridge, MA: Riverside Press.Google Scholar
  10. Ericsson, K. A., Smith, J. (Eds.). (1991). Toward a general theory of expertise. Cambridge, England: Cambridge University Press.Google Scholar
  11. Fitzgerald, J. and Teasley, A.B. (1986). Effects of instruction in narrative structure on children’s writing. Journal of Educational Psychology, 78, 424–432.CrossRefGoogle Scholar
  12. Gagne, R..M. (1968). Learning hierarchies. Educational Psychologist, 6, 19.CrossRefGoogle Scholar
  13. Gagne, R..M., Mayor, J. R., Garstens, H.L., and Paradise, N. E. (1962). Factors in acquiring knowledge in a mathematics task. Psychological Monographs, No. 7 (Whole No. 526).Google Scholar
  14. Gamer, R., Gillingham, M.G., and White, C. S. (1989). Effects of “seductive details” on macroprocessing and microprocessing in adults and children. Cognition and instruction, 6, 41–57.CrossRefGoogle Scholar
  15. Graham. S. (1984). Communicating sympathy and anger to black and white children: The cognitive attributional) consequences of affective cues. Journal of Personality and Social Psychology, 47, 4054.Google Scholar
  16. Graham, S. and Barker, G.P. (1990). The down side of help: An attributional developmental analysis of helping behavior as a low-ability cue. Journal of Educational Psychology, 82, 7–14.CrossRefGoogle Scholar
  17. Graham, S. and Harris, K..R. (1988). instructional recommendations for teaching writing to exceptional students. Exceptional Children. 54, 506–512.Google Scholar
  18. Halpem, D.F. (Ed.). (1992). Enhancing thinking skills in the sciences and mathematics._ Hillsdale, NJ: Erlbaum.Google Scholar
  19. Hayes, J..R. and Flower, L.S. (1986). Writing research and the writer. American Psychologist, 41, 1106–1113.CrossRefGoogle Scholar
  20. Lewis, A.B. (1989). Training students to represent arithmetic word problems. Journal of Educational Psychology, 79, 363–371.CrossRefGoogle Scholar
  21. Luchins, A.S. and Luchins, E. H. (1970). Wertheimer’s seminars revisited: Problem solving and thinking. Vol. 1.. Albany, NY: State University of New York.Google Scholar
  22. Mayer, R.E. (1985). Mathematical ability. In R..A Sternberg (Ed.), Human abilities An information processing approach (pp. 127–150 ). New York: Freeman.Google Scholar
  23. Mayer, R.E. (1987). Educational psychology: A cognitive approach New York: Harper Collins.Google Scholar
  24. Mayer. R.E. (1992). Thinking. problem solving cognition; second edition. New York: Freeman. Mayer, R.E. and Wittrock, M.C. (in press). Problem solving and transfer. in D. Berliner and R. Calfee (Eds.), Handbook of educational psychology New York: Macmillan.Google Scholar
  25. Nickerson, R.S., Perkins, D..N., and Smith, E.E. (Eds.). (1985). The reaching of thinking. Hillsdale, NJ: Erlbaum.Google Scholar
  26. Pintrich, P.R. and De Groot, E. V. (1990). Motivation and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, - 33–40.Google Scholar
  27. Pressley, M. (1990). Cognitive strategy instruction. Cambridge, MA: Brookline Books.Google Scholar
  28. Renninger, K. A., Hidi, S., and Krapp, A. (Eds.). (1992) The role of interest in learning and development. Hillsdale, NJ: Erlbaum.Google Scholar
  29. Rinehart, S D., Stahl, S.A., and Erickson, L.G. (1986). Some effects of summarization training on reading and studying. Reading Research Quarterly, 21, 422–438.CrossRefGoogle Scholar
  30. Robins, S. and Mayer, R.E. (1993). Schema training in analogical reasoning. Journal of Educational Psychology, 85, 529–538.CrossRefGoogle Scholar
  31. Ross, S.M., McCormick, D., Krisak, N., and Anand, P. (1985). Personalizing context in teaching mathematical concepts: Teacher-managed and computer-managed models. Educational Communication Technology Journal, 133, 169–178.Google Scholar
  32. Schiefele, U. (1992). Topic interest and level of text comprehension. In K. A. Renninger, S. Ilidi, and A. Krapp (Eds.), The role of interest in learning and development (pp. 1 51–182 ). Hillsdale, NJ: Erlbaum.Google Scholar
  33. Schiefele, U., Krapp, A., and Winteler, A. (1992). In K. A. Renninger, S. Hidi, and A. Krapp (Eds.), The role of interest in learning and development (pp. 183–212 ). Hillsdale, NJ: Erlbaum.Google Scholar
  34. Schoenfeld, A.H. (1979). Explicit heuristic training as a variable in problem-solving performance. Journal for Research in Mathematics Education, 1979, 10, 173–187.CrossRefGoogle Scholar
  35. Schoenfeld, A.H. (1985). Mathematical problem solving. Orlando, FL: Academic Press.Google Scholar
  36. Schunk, D. (1991). Self-efficacy and academic motivation. Educational Psychologist. 26, 207–231.Google Scholar
  37. Schunk, D.I1. and Hanson, A.R. (1985). Peer models: Influences on children’s self-efficacy and achievement. Journal of Educational Psychology, 77, 313–322.CrossRefGoogle Scholar
  38. Smith, M. U. (Ed.). (1991). Toivard a unified theory ofproblem solving; Views from the content domains. Hillsdale, NJ: Erlbaum.Google Scholar
  39. Segall W., Chipman, S..F, and Glaser, R. (Eds.). (1985). Thinking and learning skills. Volume 1: Relating instruction to research. Hillsdale, NJ: Erlbaum.Google Scholar
  40. Sternberg, R.. A (1985). Beyond /Q: A triarchic theory of human intelligence. Cambridge, England: Cambridge University Press.Google Scholar
  41. Sternberg, R..A and Frensch, P.A. (Eds.). (1991). Complex problem solving: Principles and mechanisms. Hillsdale, NJ: Erlbaum.Google Scholar
  42. Sternberg, R..A and Gardner, M..K.. (1983). Unities in inductive reasoning. Journal of Experimental Psychology: General 112, 80–116.CrossRefGoogle Scholar
  43. Taylor, B.M. and Beach, R.W. (1984). The effects of text structure instruction on middle-grade students’ comprehension and production of expository text. Reading Research Quarterly. 19, 134–6.CrossRefGoogle Scholar
  44. Wade, S.. E. (1992). How interest affects learning from text. In K. A. Renninger, S. Hidi, and A. Krapp (Eds.), The role of interest in learning and development (pp. 255–278 ).Google Scholar
  45. Hillsdale, NJ: Erlbaum. Weiner, B. (1986). An attributional theory of motivation and emotion New York: Springer-Verlag. Wertheimer, M. (I 959). Productive thinking New York: Harper and Row.Google Scholar
  46. White, R. T. (1974). The validation of a learning hierarchy. American Educational Research Journal. 11, 121–236.CrossRefGoogle Scholar
  47. Zimmerman, B.J. and Martinez-Pons, M. (1990). Student differences in self-regulated learning: Relating grade, sex, and giftedness to self-efficacy and strategy use. Journal of Educational Psychology 82, 51–59.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • Richard E. Mayer
    • 1
  1. 1.Department of PsychologyUniversity of CaliforniaSanta BarbaraUSA

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