Open Access

The relationship between fluid intelligence and learning potential: Is there an interaction with attentional control?

Journal of Pedagogy's Cover Image
Journal of Pedagogy
Special Issue Title: Trends in Cognitive Education

Cite

Ackerman, P., Beier, M., & Boyle, M. (2005). Working memory and intelligence: The same or different constructs? Psychological Bulletin, 131(1), 30-60.10.1037/0033-2909.131.1.30Search in Google Scholar

Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park: Sage.Search in Google Scholar

Alloway, T. P. (2009). Cognitive training: Improvements in academic attainments. Professional Association for Teachers of Students with Specific Learning Difficulties, 22, 57-61.Search in Google Scholar

Alloway, T. P. (2010). Working memory and executive function profiles of students with borderline intellectual functioning. Journal of Intellectual Disability Research, 54(5), 448-456.10.1111/j.1365-2788.2010.01281.xSearch in Google Scholar

Alloway, T. P., & Alloway, R. G. (2010). Investigating the predictive roles of working memory and IQ in academic attainment. Journal of Experimental Child Psychology, 106(1), 20-29.10.1016/j.jecp.2009.11.003Search in Google Scholar

Anderson, V., Jacobs, R., & Anderson, P. J. (Eds.). (2008). Executive functions and the frontal lobes: A lifespan perspective. NY: Psychology Press.Search in Google Scholar

Baddeley, A. D. (2000). The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4(11), 417-423.10.1016/S1364-6613(00)01538-2Search in 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.Search in Google Scholar

Banich, M. T., Milham, M. P., Atchley, R., Cohen, N. J., Webb, A., & Wszalek, T. (2000). fMRI studies of Stroop tasks reveal unique roles of anterior and posterior brain systems in attentional selection. Journal of Cognitive Neuroscience, 12(6), 988-1000.10.1162/08989290051137521Search in Google Scholar

Blair, C. (2006). How similar are fluid cognition and general intelligence? A developmental neuroscience perspective on fluid cognition as an aspect of human cognitive ability. Behavioral and Brain Sciences, 29(2), 109-160.10.1017/S0140525X06009034Search in Google Scholar

Brydges, C. R., Reid, C. L., Fox, A. M., & Anderson, M. (2012). A unitary executive function predicts intelligence in children. Intelligence, 40, 458-469.10.1016/j.intell.2012.05.006Search in Google Scholar

Budoff, M. (1987). The validity of learning potential assessment. In: C. S. Lidz (Ed.), Dynamic assessment: An interactional approach to evaluating learning potential (pp. 53-81). New York, NY: Guilford Press.Search in Google Scholar

Carlson, J. S., & Wiedl, K. H. (1979). Toward a differential testing approach: Testing- -the-limits employing the Raven matrices. Intelligence, 3(4), 323-344.10.1016/0160-2896(79)90002-3Search in Google Scholar

Carter, C. S., Mintun, M., Cohen, J. D. (1995). Interference and facilitation effects during selective attention: An (H2O)-O-15 PET study of Stroop task performance. Neuroimage, 2(4), 264-272.10.1006/nimg.1995.1034Search in Google Scholar

Cattell, R. B. (1971). Abilities: Their structure, growth, and action. Boston: Houghton Mifflin.Search in Google Scholar

Chuderski, A. (2014). Which working memory components predict fluid intelligence. Psychology, 5(5), 328-339.10.4236/psych.2014.55043Search in Google Scholar

Chuderski, A., Taraday, M., Nęcka, E., & Smoleń, T. (2012). Storage capacity explains fluid intelligence while executive control does not. Intelligence, 40(3), 278-295.10.1016/j.intell.2012.02.010Search in Google Scholar

Colom, R., Rebollo, I., Palacios, A., Juan-Espinosa, & M. Kyllonen, P. (2004). Working memory is (almost) perfectly predicted by g. Intelligence, 32(2004), 277-296.Search in Google Scholar

Conway, A. R. A., Cowan, N., Bunting, M. F., Therriault, D. J., & Minkoff, S. R. (2002). A latent variable analysis of working memory capacity, short-term memory capacity, processing speed, and general fluid intelligence. Intelligence, 30(2002), 163-183.Search in Google Scholar

Delis, D. C., Kaplan, E., & Kramer, J. H. (2001). Delis-Kaplan executive function system (D-KEFS). San Antonio, TX: The Psychological Corporation.Search in Google Scholar

Džuka, J., & Kovalčíková, I. (2008). Dynamické testovanie latentných učebných schopností [Dynamic testing of latent learning abilities]. Československá Psychologie, 52(4), 366-377.Search in Google Scholar

Elliott, J., Grigorenko, E. L., & Resing, W. C. M. (2010). Dynamic assessment: The need for a dynamic approach. In E. Baker, B. McGraw, & P. Peterson (Eds.), International encyclopedia of education (3rd ed.). Oxford, United Kingdom: Elsevier.Search in Google Scholar

Elliot, J. & Lauchlan, F. (1997). Assessing potential: The search for the philosopher’s stone? Educational and Child Psychology, 14(4), 6-16.Search in Google Scholar

Engle, R. W., & Kane, M. J. (2004). Executive attention, working memory capacity, and a two-factor theory of cognitive control. In B. Ross (Ed.), The Psychology of Learning and Motivation (pp. 145-199). New York, NJ: Elsevier. Search in Google Scholar

Fabio, R. A. (2005). Dynamic assessment of intelligence is a better reply to adaptive behaviour and cognitive plasticity. The Journal of General Psychology, 132(1), 41-64.10.3200/GENP.132.1.41-66Search in Google Scholar

Ferrer, E., McArdle, J. J., Shawitz, B. A., Holahan, J. N., Marchione, K., & Shawitz, S. E. (2007). Longitudinal models of developmental dynamics between reading and cognition from childhood to adolescence. Developmental Psychology, 43(6), 1460-1473.10.1037/0012-1649.43.6.1460Search in Google Scholar

Feuerstein, R., Rand, Y., & Hoffman, M. (1979). The dynamic assessment of retarded performers: The learning potential assessment device (LPAD). Baltimore, MD: University Park Press.Search in Google Scholar

Feuerstein, R., Rand, Y., Hoffman, M. B., & Miller, R. (1980). Instrumental enrichment: An intervention program for cognitive modifiability. Baltimore, MD: University Park Press.Search in Google Scholar

Fiszdon, J. M., McClough, J. F., Silverstein, S. M., Bell, M. D., Jaramillo, J. R., & Smith, T. E. (2006). Learning potential as a predictor of readiness for psychosocial rehabilitation in schizophrenia. Psychiatry Research, 143(2-3), 159-166.10.1016/j.psychres.2005.09.012Search in Google Scholar

Freund, P. A., & Holling, H. (2011). Retest effects in matrix test performance: Differential impact of predictors at different hierarchy levels in an educational setting. Learning and Individual Differences, 21(5), 597-601.10.1016/j.lindif.2011.07.006Search in Google Scholar

Friedman, N. P., Miyake, A., Corley, R. P., Young, S. E., Defries, J. C., & Hewitt, J. K. (2006). Not all executive functions are related to intelligence. Psychological Science, 17(2), 172-179.10.1111/j.1467-9280.2006.01681.xSearch in Google Scholar

Haywood, H. C. (1997). Interactive assessment. In R. Taylor (Ed.), Assessment of persons with mental retardation (pp. 103-129). San Diego: Singular Publishing Haywood, H. C., & Lidz, C. S. (2007). Dynamic assessment in practice: Clinical and educational applications. Cambridge, NY: Cambridge University Press.Search in Google Scholar

Hornung, C., Brunner, M., Reuter, R. A. P., & Martin, R. (2011). Children’s working memory: Its structure and relationship to fluid intelligence. Intelligence, 39(4), 210-22.10.1016/j.intell.2011.03.002Search in Google Scholar

Hotulainen, R., Thuneberg, H., Hautamäki, J., & Vainikainen, M-P. (2014). Measured attention in prolonged over-learned response tasks and its correlation to high level scientific reasoning and school achievement. Psychological Test and Assessment Modeling, 56(3), 237-254.Search in Google Scholar

Jeltova, I., Birney, D., Fredine, N., Jarvin, L., Sternberg, R. J., & Grigorenko, E. L. (2011). Making instruction and assessment responsive to diverse students’ progress: Group-administered dynamic assessment in teaching mathematics. Journal of Learning Disabilities, 44(4), 381-395.10.1177/0022219411407868Search in Google Scholar

Jensen, A. R. (1998). The g factor: The science of mental ability. Westport, CN: Praeger.Search in Google Scholar

Kail, R. V. (2007). Longitudinal evidence that increases in processing speed and working memory enhance children’s reasoning. Psychological Science, 18(4), 312-313.10.1111/j.1467-9280.2007.01895.xSearch in Google Scholar

Kane, M. J., Hambrick, D. Z., Tuholski, S. W., Wilhelm, O., Payne, T. W., & Engle, R. W. (2004). The generality of working memory capacity: A latent variable approach to verbal and visuo-spatial memory span and reasoning. Journal of Experimental Psychology: General, 133(2), 189-217.10.1037/0096-3445.133.2.189Search in Google Scholar

Kovalčíková, I. (2009). Dynamic testing and assessment of latent learning capacities. Sosyal Bilimler Araştırmaları Dergisi, 1, 47-53.Search in Google Scholar

Kovalčíková, I. (Ed.). (2010). Kognitívna stimulácia individuálnych edukačných potrieb žiaka zo sociálne znevýhodňujúceho prostredia [Cognitive stimulation of individual The Relationship Between Fluid Intelligence And Learning Potential: Is There An Interaction... 3 9 educational needs of pupils from socially disadvantaging environments]. Prešov, Slovakia: Vydavateľstvo Prešovskej univerzity.Search in Google Scholar

Lee, K., Pe, M. L., Ang, S. Y., & Stankov, L. (2009). Do measures of working memory predict academic proficiency better than measures of intelligence? Psychology Science Quarterly, 51(4), 403-419.Search in Google Scholar

Lehto, J. E., Juujärvi, P., Kooistra, L., & Pulkkinen, L. (2003). Dimensions of executive functioning: Evidence from children. British Journal of Developmental Psychology, 21(1), 59-80.10.1348/026151003321164627Search in Google Scholar

Lidz, C. (2000). The Application of Cognitive Functions Scale. In C. S. Lidz & J. G.Search in Google Scholar

Elliott (Eds.), Dynamic Assessment: Prevailing models and applications. Amsterdam: JAI/Elsevier Science.Search in Google Scholar

MacDonald, A. W., Cohen, J. D., Stenger, V. A., & Carter, C. S. (2000). Dissociating the role of the dorsolateral prefrontal and anterior cingulate cortex in cognitive control. Science, 288(5472), 1835-1838.Search in Google Scholar

Mackey, A. P., Hill, S. S., Stone, S. I., & Bunge, S. A. (2011). Dissociable effects of reasoning and speed training in children. Developmental Science, 14(3), 582-590.10.1111/j.1467-7687.2010.01005.xSearch in Google Scholar

MacKinnon, D. P. (2008). Introduction to Statistical Mediation Analysis. New York: Erlbaum.Search in Google Scholar

McCandliss, B., Beck, I. L., Sandak, R., & Perfetti, C. (2003). Focusing attention on decoding for children with poor reading skills: Design and preliminary tests of the word building intervention. Scientific Studies of Reading, 7(1), 75-104.10.1207/S1532799XSSR0701_05Search in Google Scholar

Milham, M. P., Erickson, K. I., Banich, M. T., Kramer, A. F., Webb, A., Wszalek, T., & Cohen, N. J. (2002). Attentional control in the aging brain: Insights from an fMRI study of the Stroop task. Brain and Cognition, 49(3), 277-296.10.1006/brcg.2001.1501Search in Google Scholar

Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “Frontal Lobe” tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49-100.10.1006/cogp.1999.0734Search in Google Scholar

Posner, M. I., & Dehaene, S. (1994). Attentional networks. Trends in Neuroscience, 17(2), 75-79.10.1016/0166-2236(94)90078-7Search in Google Scholar

Primi, R., Ferrão, M. E., & Almeida, L. S. (2010). Fluid intelligence as a predictor of learning: A longitudinal multilevel approach applied to math. Learning and Individual Differences, 20(5), 446-451.10.1016/j.lindif.2010.05.001Search in Google Scholar

Resing, W. C. M. (2013). Dynamic testing and individualized instruction: Helpful in cognitive education? Journal of Cognitive Education and Psychology, 12(1), 81-95.10.1891/1945-8959.12.1.81Search in Google Scholar

Resing, W. C. M., Stevenson, C., & Bosma, T. (2012). Dynamic testing: Measuring inductive reasoning in children with developmental disabilities and mild cognitive impairments. Journal of Cognitive Education and Psychology, 11(2), 159-178.10.1891/1945-8959.11.2.159Search in Google Scholar

Ropovik, I. (2014). Do executive functions predict the ability to learn problem-solving principles? Intelligence, 44, 64-74.10.1016/j.intell.2014.03.002Search in Google Scholar

Schweizer, K. (2010). The relationship of attention and intelligence. In A. Gruszka, G. Matthiews, & B. Szymura (Eds.), Handbook of individual differences in cognition: Attention, memory, and executive control (pp. 247-262). New York: Springer.Search in Google Scholar

Sergi, M. J., Kern, R. S., Mintz, J., & Green, M. F. (2005). Learning potential and the prediction of work skill acquisition in schizophrenia. Schizophrenia Bulletin, 31(1), 67-72.10.1093/schbul/sbi007Search in Google Scholar

Spearman, C. (1904). “General Intelligence,” objectively determined and measured.10.2307/1412107Search in Google Scholar

Stanovich, K. E., Cunningham, A. E., & Freeman, D. (1984). Intelligence, cognitive skills and early reading progress. Reading Research Quarterly, 14, 278-303.10.2307/747822Search in Google Scholar

Stauffer, J. M., Ree, M. J., & Caretta, T. R. (1996). Cognitive-components tests are not much more than g: An extension of Kyllonen’s analysis. Journal of General Psychology, 123, 193-205.10.1080/00221309.1996.9921272Search in Google Scholar

Sternberg, R. J., & Grigorenko, E. L. (2002). Dynamic testing: The nature and measurement of learning potential. New York, NY: Cambridge University Press.Search in Google Scholar

Sternberg, R. J., Grigorenko, E. L., Birney, D. P., Fredine, N., Jarvin, L., & Jeltova, I. (2007). Dynamic instruction for and assessment of developing expertise in four ethnic groups. In E. J. Gubbins (Ed.), Research Monograph of the National Research Center on the Gifted and Talented. University of Connecticut. Stevenson C. E. (2012). Puzzling with potential. Dynamic testing of analogical reasoning in children (Doctoral dissertation, Leiden University). Amsterdam, the Netherlands: Ipskamp Drukkerij.Search in Google Scholar

Stevenson, C. E., Hickendorff, M., Resing, W. C. M., Heiser, W., & de Boeck, P. (2013). Explanatory item response modeling of children’s change on a dynamic test of analogical reasoning. Intelligence, 41(3), 157-168.10.1016/j.intell.2013.01.003Search in Google Scholar

Swanson, H. L. & Howard, C. B. (2005). Children with reading disabilities: Does dynamic assessment help in the classification? Learning Disability Quarterly, 28(1), 17-34.10.2307/4126971Search in Google Scholar

Swanson, H. L., & Lussier, C. M. (2001). A selective synthesis of the experimental literature on dynamic assessment. Review of Educational Research, 71(2), 321-363.10.3102/00346543071002321Search in Google Scholar

Taub, G., Floyd, R. G., Keith, T. Z., & McGrew, K. S. (2008). Effects of general and broad cognitive abilities on mathematics. School Psychology Quarterly, 23(2), 187-198.10.1037/1045-3830.23.2.187Search in Google Scholar

Taylor, T. R. (1992). Beyond competence: Measuring potential in a cross-cultural situation fairly. Potential in psychometrics. In Congress on psychometrics for psychologists. Megawatt Park, Sandton: Eskom and the Society of Industrial Psychology of South Africa.Search in Google Scholar

Tillman, C. M., Nyberg, L., & Bohlin, G. (2008). Working memory components and intelligence in children. Intelligence, 36(5), 394-402.10.1016/j.intell.2007.10.001Search in Google Scholar

Tzuriel, D. (2000). Dynamic assessment of young children: Educational and intervention perspectives. Educational Psychology Review, 12(4), 385-435.10.1023/A:1009032414088Search in Google Scholar

Unsworth, N., & Engle, R. W. (2007). The nature of individual differences in working memory capacity: Active maintenance in primary memory and controlled search from secondary memory. Psychological Review, 114(1), 104-132.10.1037/0033-295X.114.1.104Search in Google Scholar

Unsworth, N., & Spillers, G. J. (2010). Working memory capacity: Attention, memory, or both? A direct test of the Dual-Component Model. Journal of Memory and Language, 62, 392-406.10.1016/j.jml.2010.02.001Search in Google Scholar

Vygotsky, L. S. (1962). Thought and language. Cambridge MA: MIT Press.10.1037/11193-000Search in Google Scholar

West, R., Alain, C. (2000). Effects of task context and fluctuations of attention on neural activity supporting performance of the Stroop task. Brain Research, 873(1), 102-111.10.1016/S0006-8993(00)02530-0Search in Google Scholar

Wiebe, S. A., Sheffield, T., Nelson, J. M., Clark, C. A., Chevalier, N., & Espy, K. A. (2011). The structure of executive function in 3-year-olds. Journal of Experimental Child Psychology, 108(3), 436-452.10.1016/j.jecp.2010.08.008Search in Google Scholar

Wiedl, K. H. (1999). Cognitive modifiability as a measure of readiness for rehabilitation. Psychiatric Services, 50(11), 1411-1413.10.1176/ps.50.11.1411Search in Google Scholar

Wiedl, K. H. (2003). Dynamic testing: A comprehensive model and current fields of application. Journal of Cognitive Education and Psychology, 3(2), 93-119. journalofpedagogy1/201510.1891/194589503787383055Search in Google Scholar

Wiedl, K. H., Schottke, H. H., & Calero-Garcia, D. (2001). Dynamic assessment of cognitive rehabilitation potential in schizophrenic persons and in elderly persons with and without dementia. European Journal of Psychological Assessment, 17(2), 112-117.10.1027//1015-5759.17.2.112Search in Google Scholar

Wiedl, K. H., & Wienobst, J. (1999). Interindividual differences in cognitive remediation research with schizophrenic patients: Indicators of rehabilitation potential? International Journal of Rehabilitation Research, 22(1), 55-59.10.1097/00004356-199903000-00007Search in Google Scholar

eISSN:
1338-2144
Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Social Sciences, Education, other