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43 - Intelligence and Achievement

from Part VIII - Intelligence and Allied Constructs

Published online by Cambridge University Press:  13 December 2019

By
Richard E. Mayer
Edited by
Robert J. Sternberg
Robert J. Sternberg
Affiliation:
Cornell University, New York
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Summary

This chapter examines the reciprocal relation between intelligence and achievement, particularly within academic domains such as verbal ability and mathematical ability. In particular, the chapter examines the specific knowledge needed for successful performance on tests of verbal ability that focus on decoding or reading comprehension, and tests of mathematical ability that focus on solving arithmetic computation problems or arithmetic word problems.

Keywords

law of effectSATattribute x treatment interaction (ATI)expertise reversal effecttransferable knowledgeknowledgeFlynn effectdeliberate practiceacademic abilityverbal abilityphonological awarenessreading comprehensionmathematical abilityfluid intelligencecrystallized intelligence
Type
Chapter
Information
The Cambridge Handbook of Intelligence , pp. 1048 - 1060
Publisher: Cambridge University Press
Print publication year: 2020

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References

Ackerman, P., & Beier, M. E. (2003). Trait complexes, cognitive investment, and domain knowledge. In Sternberg, R. J. & Grigorenko, E. L. (Eds.). The psychology of abilities, competencies, and expertise (pp. 1–30). New York: Cambridge University Press.Google Scholar
Anderson, L. W., Krathwohl, D. R., Airasian, P. W., Cruikshank, K. A., Mayer, R. E., Pintrich, P. R., Raths, J., & Wittrock, M. C. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives. New York: Longman.Google Scholar
Ash, G. E., & Baumann, J. F. (2017). Vocabulary and reading comprehension: The nexus of meaning. In Israel, S. E. (Ed.), Handbook of research on reading comprehension (2nd ed, pp. 377–405). New York: Guilford Press.Google Scholar
Azevedo, R., & Aleven, V. (Eds.). (2013). International handbook of metacognition and learning technologies. New York: Springer.Google Scholar
Barro, R. J., & Lee, J-W. (2015). Education matters: Global schooling gains from the 19th to the 21st century. New York: Oxford University Press.Google Scholar
Bartlett, F. C. (1932). Remembering. London: Cambridge University Press.Google Scholar
Bradley, L., & Bryant, P. (1983). Categorizing sounds and learning to read: A causal connection. Nature, 301, 419–421.Google Scholar
Bradley, L., & Bryant, P. (1985). Rhyme and reason in reading and spelling. Ann Arbor: University of Michigan Press.Google Scholar
Carroll, J. B. (1993). Human cognitive abilities. New York: Cambridge University Press.Google Scholar
Case, R., & Okamoto, Y. (1996). The role of central conceptual structures in the development of children’s thought. Monographs of the Society for Research in Child Development, 61(1 & 2), i–295.Google Scholar
Ceci, S. J., Barnett, S. M., & Kanaya, T. (2003). Developing childhood proclivities into adult competencies: The overlooked multiplier effect. In Sternberg, R. J. & Grigorenko, E. L. (Eds.). The psychology of abilities, competencies, and expertise (pp. 70–93). New York: Cambridge University Press.CrossRefGoogle Scholar
Cronbach, L. J., & Snow, R. E. (1977). Aptitudes and instructional methods. New York: Wiley.Google Scholar
Cook, L. K., & Mayer, R. E. (1988). Teaching readers about the structure of scientific text. Journal of Educational Psychology, 80, 448–456.Google Scholar
Ehri, L. C., Nunes, S. R., Stahl, S. A., & Willows, D. M. (2001). Systematic phonics instruction helps students learn to read: Evidence from the National Reading Panel’s meta-analysis. Review of Educational Research, 71, 393–447.Google Scholar
Ericsson, K. A. (2003). The search for general abilities and basic capacities: Theoretical implications from the modifiability and complexity of mechanisms mediating expert performance. In Sternberg, R. J. & Grigorenko, E. L. (Eds.). The psychology of abilities, competencies, and expertise (pp. 93–125). New York: Cambridge University Press.Google Scholar
Ericsson, K. A., & Charness, N. (Eds.). (2006). The Cambridge handbook of expertise and expert performance. New York: Cambridge University Press.CrossRefGoogle Scholar
Flynn, J. R. (1998). IQ gains over time: Toward finding the causes. In Neisser, U. (Ed.), The rising curve: Long-term gains in IQ and related measures (pp. 25–66). Washington, DC: American Psychological Association.Google Scholar
Flynn, J. R. (2009). What is intelligence? Beyond the Flynn effect. New York: Cambridge University Press.Google Scholar
Fuchs, D., Fuchs, L. S., Thompson, A., Al Otaiba, A., Yen, L., Yang, N. J., Braun, M., & O’Connor, R. E. (2001). Is reading in reading readiness programs? A randomized field trial with teachers as program implementers. Journal of Educational Psychology, 93, 251–267.Google Scholar
Goswami, U., & Bryant, P. (1990). Phonological skills and learning to read. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
Griffin, S.A., Case, R., & Siegler, R.S. (1994). Rightstart: Providing the central conceptual prerequisites for first formal learning of arithmetic to students at risk for school failure. In McGilly, K. (Ed.), Classroom lessons: Integrating cognitive theory and classroom practice. Cambridge, MA: MIT Press.Google Scholar
Hinsley, D., Hayes, J. R., & Simon, H. A. (1977). From words to equations. In Carpenter, P. & Just, M. (Eds.), Cognitive processes in comprehension. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
Holmes, J. D. (2016). Great myths of education and learning. Chichester: Wiley Blackwell.Google Scholar
Hunt, E. (2011). Human intelligence. New York: Cambridge University Press.Google Scholar
Jordan, N. C., Glutting, J., Dyson, N., Hassinger-Das, B., & Irwin, C. (2012). Building kindergartners’ number sense: A randomized controlled study. Journal of Educational Psychology, 104, 647–660.Google Scholar
Juel, C., Griffith, P. L., & Gough, P. B. (1986). Acquisition of literacy: A longitudinal study of children in first and second grade. Journal of Educational Psychology, 78, 243–255.CrossRefGoogle Scholar
Kalyuga, S. (2014). The expertise reversal principle in multimedia learning. In Mayer, R. E. (Ed.), The Cambridge handbook of multimedia learning (2nd ed, pp. 576–597). New York: Cambridge University Press.Google Scholar
Krampe, R. T., & Baltes, P. B. (2003). Intelligence as adaptive resource development and resource allocation: A new look through the lenses of SOC and Expertise. In Sternberg, R. J. & Grigorenko, E. L. (Eds.). The psychology of abilities, competencies, and expertise (pp. 31–70). New York: Cambridge University Press.Google Scholar
Lipson, M. Y. (1983). The influence of religious affiliation on children’s memory for text information. Reading Research Quarterly, 18, 448–457.Google Scholar
Marr, M. B., & Gormley, K. (1982). Children’s recall of familiar and unfamiliar text. Reading Research Quarterly, 18, 89–104.CrossRefGoogle Scholar
Martinez, M. E. (2000). Education as the cultivation of intelligence. Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Massa, L. J., & Mayer, R. E. (2006). Testing the ATI hypothesis: Should multimedia instruction accommodate verbalizer-visualizer cognitive style? Learning and Individual Differences, 16, 321–336.Google Scholar
Mayer, R. E. (1981). Frequency norms and structural analysis of algebra story problems into families, categories, and templates. Instructional Science, 10, 135–175.Google Scholar
Mayer, R. E. (2003a). E. L. Thorndike’s enduring contributions to educational psychology. In Zimmerman, B. J. & Schunk, D. H. (Eds.), Educational psychology: A century of contributions (pp. 113–154). Washington, DC: American Psychology Association.Google Scholar
Mayer, R. E. (2003b). What causes individual differences in cognitive performance? In R. Sternberg, J. & Grigorenko, E. L. (Eds.). The psychology of abilities, competencies, and expertise (pp. 263–274). New York: Cambridge University Press.Google Scholar
Mayer, R. E. (2008). Learning and instruction (2nd ed). Upper Saddle River, NJ: Pearson Merrill Prentice Hall.Google ScholarPubMed
Mayer, R. E. (2011). Applying the science of learning. Upper Saddle River, NJ: Pearson Merrill Prentice Hall.Google Scholar
Moreno, R., & Mayer, R. E. (1999). Multimedia supported metaphors for meaning making in mathematics. Journal of Educational Psychology, 92, 724–733.Google Scholar
Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008). Learning styles: Concepts and evidence. Psychological Science in the Public Interest, 9(3), 105–119.Google Scholar
Pearson, P. D., Hanson, J., & Gordon, C. (1979). The effect of background knowledge on young children’s comprehension of explicit and implicit information. Journal of Reading Behavior, 11, 201–209.Google Scholar
Pelligrino, J. W., & Hilton, M. L. (Eds.). (2012). Education for life and work: Developing transferable knowledge and skills for the 21st century. Washington, DC: National Academies Press.Google Scholar
Perfetti, C., & Stafura, J. (2014). Word knowledge in a theory of reading comprehension. Scientific Studies of Reading, 18, 22–37.Google Scholar
Ponce, H. R., Lopez, M. J., & Mayer, R. E. (2013). A computer-based spatial learning strategy approach that improves reading comprehension and writing. Educational Technology Research and Development, 61, 819–840.Google Scholar
Reed, S. K. (1999). Word problems. Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Riley, M., Greeno, J. G., & Heller, J. (1982). The development of children’s problem solving ability in arithmetic. In Ginsburg, H. (Ed.), The development of mathematical thinking (pp. 153–196). New York: Academic Press.Google Scholar
Schumacher, R. F., & Fuchs, L. S. (2011). Does understanding relational terminology mediate effects of intervention on compare word problems? Journal of Experimental Child Psychology, 111, 2012, 607–628.Google Scholar
Sternberg, R. J. (1990). Metaphors of mind. New York: Cambridge University Press.Google Scholar
Sternberg, R. J., & Grigorenko, E. L. (Eds). (2003). The psychology of abilities, competencies, and expertise. New York: Cambridge University Press.CrossRefGoogle Scholar
Sternberg, R. J., & The Rainbow Project Collaborators (2006). The Rainbow Project: Enhancing the SAT through assessments of analytical, practical, and creative skills. Intelligence, 34, 321–350.Google Scholar
Sternberg, R. J., & Zhang, L.-F. (Eds.). (2001). Perspectives on thinking, learning, and cognitive styles. Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Taylor, B. M., & Beach, R. W. (1984). The effects of text structure instruction on middle-grade students’ comprehension and production of expository text. Reading Research Quarterly, 19, 134–146.CrossRefGoogle Scholar
Thorndike, E. L. (1911). Animal intelligence. New York: Hafner.Google Scholar
Wagner, R. K., & Torgesen, J. K. (1987). The nature of phonological processing and its causal role in the acquisition of reading skills. Psychological Bulletin, 101, 192–212.Google Scholar
Wentzel, K. R., & Miele, D. B. (Eds.). (2016). Handbook of motivation at school. New York: Routledge.Google Scholar
Wolf, T. H. (1973). Alfred Binet. Chicago: University of Chicago Press.Google Scholar
Zwick, R. (2002). Fair game: The use of standardized admissions tests in higher education. New York: Routledge Falmer.Google Scholar

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