Interactivity Defuses the Impact of Mathematics Anxiety in Primary School Children
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Math anxiety impedes performance in simple arithmetic tasks. Anxiety constrains working memory capacity and particularly the attentional functions of the central executive. The experiment reported here explored how interactivity mitigated the impact of math anxiety on the performance of elementary school students with simple additions. It manipulated two independent variables. The first was the length of the additions—involving either 7 or 11 number tokens (the value of the tokens ranged from 1 to 20). The other was the level of interactivity: in the low interactivity condition participants could not touch or point to the number tokens that configured the sums, and in a high interactivity condition participants could manipulate the tokens as they saw fit in deriving their answer. The length of the addition had an impact on accuracy, with longer sums leading to poorer performance. However, overall, performance in the high interactivity condition was superior, in terms of accuracy, absolute calculation error and efficiency, than performance in the low interactivity condition. Mathematics anxiety significantly predicted performance in the low interactivity condition, but not in the high interactivity condition. These results suggest that working memory resources are augmented through interactivity with the physical problem presentation, defusing the impact of anxiety on performance.
KeywordsDistributed cognition Interactivity Math anxiety Mental arithmetic
- Carlson, R. A., Avraamides, M. N., Cary, M. & Strasberg, S. (2007). What do the hands externalize in simple arithmetic? Journal of Experimental Psychology: Learning, Memory, and Cognition, 33, 747–756.Google Scholar
- Eccles, J., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. & Midgley, C. (1983). Expectancies, values and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement motives (pp. 95–121). San Francisco: W. H. Freeman.Google Scholar
- Kirsh, D. (1995). Complementary strategies: Why we use our hands when we think. In Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society (pp. 212–217). Mahwah: Lawrence Erlbaum Associates.Google Scholar
- Kirsh, D. (2013b). Thinking with external representations. In S. J. Cowley & F. Vallée-Tourangeau (Eds.), Cognition beyond the brain: Interactivity, cognition and human artifice (pp. 171–194). Dordrecht, The Netherlands: Springer.Google Scholar
- LeFevre, J., DeStefano, D., Coleman, B. & Shanahan, T. (2005). Mathematical cognition and working memory. In J.I.D. Campbell (Ed.), Handbook of Mathematical Cognition (pp. 361–378). New York, NY: Psychology Press.Google Scholar
- Seyler, D. J., Kirk, E. P. & Ashcraft, M. H. (2003). Elementary subtraction. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29, 1339–1352.Google Scholar
- Smith, A. (2004). Making mathematics count: The report of Professor Adrian Smith’s inquiry into post-14 mathematics education. Retrieved fromhttp://dera.ioe.ac.uk/4873/1/MathInquiryFinalReport.pdf.
- Vallée-Tourangeau, F., Sirota, M. & Villejoubert, G. (2013). Reducing the impact of math anxiety on mental arithmetic: The importance of distributed cognition. In M. Knauff, M. Pauen, N. Sebanz & I. Wachsmuth (Eds.), Proceedings of the Thirty-Fifth Annual Conference of the Cognitive Science Society (pp. 3615–3620). Austin, TX: Cognitive Science Society.Google Scholar
- Wechsler, D. (1991). WISC-III: Wechsler intelligence scale for children. San Antonio, TX: Psychological Corporation.Google Scholar
- Wilson, R. A. & Clark, A. (2009). How to situate cognition: Letting nature take its course. In P. Robbins & M. Aydede (Eds.), The Cambridge handbook of situated cognition (pp. 55–77). Cambridge, England: Cambridge University Press.Google Scholar
- Yantis, S. (1998). Control of visual attention. Attention, 1, 223–256.Google Scholar