Summary
This book focuses on one aspect of the “infancy” of the field of statistics education research, by attempting to grapple with the definitions, distinctions, and development of statistical literacy, reasoning, and thinking. As this field grows, the research studies in this volume should help provide a strong foundation as well as a common research literature. This is an exciting time, given the newness of the research area and the energy and enthusiasm of the contributing researchers and educators who are helping to shape the discipline as well as the future teaching and learning of statistics. We point out that there is room for more participants to help define and construct the research agenda and contribute to results. We hope to see many new faces at future gatherings of the international research community, whether at SRTL-4, or 5, or other venues such as the International Conference on Teaching Statistics (ICOTS), International Congresson Mathematical Education (ICME), and the International Group for the Psychology of Mathematics Education (PME).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bakker, A. (2002). Route-type and landscape-type software for learning statistical data analysis. In B. Phillips (Chief Ed.), Developing a Statistically Literate Society: Proceedings of the Sixth International Conference on Teaching Statistics, Voorburg, The Netherlands (CD-ROM).
Batanero, C., Garfield, J., Ottaviani, M. G., and Truran, J. (2000). Research in statistical education: Some priority questions. Statistical Education Research Newsletter, 1(2), 2–6.
Ben-Zvi, D.(2000). Toward understanding therole of technological tools in statistical learning. Mathematical Thinking and Learning, 2(1&2), 127–155.
Bransford, J., Brown, A. L., & Cocking, R. R. (Eds.). (2000). How people learn: Brain, mind, experience, and school. Washington, DC: National Academy Press.
Bryce, G. B. (2002). Undergraduate statistics education: An introduction and review of selected literature. Journal of Statistics Education, 10(2). Retrieved June 23, 2003 from http://www.amstat.org/publications/jse/v10n2/bryce.html
Chance, B. L. (2002). Components of statistical thinking and implications for instruction and assessment. Journal of Statistics Education, 10(3). Retrieved April 7, 2003, from http://www.amstat.org/publications/jse/
Cobb, P. (1999). Individual and collective mathematical development: The case of statistical data analysis. Mathematical Thinking and Learning, 1(1), 5–43.
Fischbein, E. (1975). The intuitive sources of probabilistic thinking in children. Dordrecht, The Netherlands: D. Reidel.
Fong G. T., Krantz, D. H., & Nisbett, R. E. (1986). The effects of statistical training on thinking about everyday problems. Cognitive Psychology, 18, 253–292.
Friel, S. N. (in press). The research frontier: Where technology interacts with the teaching and learning of data analysis and statistics. In M. K. Heid & G. W. Blume (Eds.), Research on technology and the teaching and learning of mathematics: Syntheses and perspectives, vol. 1. Greenwich, CT: Information Age Publishing.
Gal, I., & Garfield, J. B. (Eds.). (1997). The assessment challenge in statistics education. Voorburg, The Netherlands: International Statistical Institute.
Garfield, J. B., & Burrill, G. (Eds.). (1997). Research on the role of technology in teaching and learning statistics. In Proceedings of the 1996 IASE Round Table Conference, Granada, Spain. Voorburg, The Netherlands: International Statistical Institute.
Garfield, J., & Gal, I. (1999). Teaching and assessing statistical reasoning. In L. V. Stiff (Ed.), Developing mathematical reasoning in grades K-12 (NCTM 1999 Yearbook), pp. 207–219. Reston, VA: National Council of Teachers of Mathematics.
Joliffe, F. (1998). What is research in statistical education? In L. Pereira-Mendoza, L. Seu Kea, T. Wee Kee, & W. K. Wong (Eds.), Proceedings of the Fifth International Conference on Teaching Statistics, pp. 801–806. Singapore: International Statistical Institute.
Kahneman, D., Slovic, P., & Tversky, A. (Eds.). (1982). Judgment under uncertainty: Heuristics and biases. New York: Cambridge University Press.
Konold, C. (1989). Informal conceptions of probability. Cognition and Instruction, 6, 59–98.
Kelly, A. E., & Lesh, R. A. (Eds.). (2000). Handbook of research design in mathematics and science education. Mahwah, NJ: Erlbaum.
Lajoie, S. P. (Ed.). (1998). Reflections on statistics: Learning, teaching, and assessment in grades K-12. Mahwah, NJ: Erlbaum.
Lee, C., Zeleke, A., & Wachtel, H. (2002). Where do students get lost? The concept of variation. In B. Phillips (Chief Ed.), Developing a Statistically Literate Society: Proceedings of the Sixth International Conference on Teaching Statistics. Voorburg: The Netherlands (CD-ROM).
Lesh, R. (2002). Research design in mathe matics education: Focusing ondesignexperiments.In L. English (Ed.), International Handbook of Research Design in Mathematics Education. Hillsdale, NJ: Erlbaum.
Mokros, J., & Russell, S. J. (1995). Children’s concepts of a verage and representativeness. Journal for Research in Mathematics Education, 26, 20–39.
Moore, D. (1998). Statistics among the liberal arts. Journal of the American Statistical Association, 93, 1253–1259.
National Council of Teachers of Mathematics (NCTM). (2000). Principles and standards for school mathematics. Reston, VA: NCTM.
Nisbett, R. (1993). Rules for reasoning. Hillsdale, NJ: Erlbaum.
Piaget, J., & Inhelder, B. (1975). The originof the idea of chance inchildren. London: Routledge & Kegan Paul.
Rubin, A., Bruce, B., & Tenney, Y. (1991). Learning about sampling: Trouble at the core of statistics. In D. Vere-Jones (Ed.), Proceedings of the Third International Conference on Teaching Statistics, vol. 1 (pp. 314–319). Voorburg, The Netherlands: International Statistical Institute.
Russell, S. J., & Mokros, J. (1996). What do children understand about average? Teaching Children Mathematics, 2, 360–364.
Schau, C., & Mattern, N. (1997). Assessing students’ connected understanding of statistical relationships. In I. Gal & J. B. Garfield (Eds.), The Assessment Challenge in Statistics Education (pp.91–104). Amsterdam, Netherlands: IOS Press.
Sedlmeier, P. (1999). Improving statistical reasoning: Theoretical models and practical implications. Hillsdale, NJ: Erlbaum.
Shaughnessy, J. M. (1992). Research in probability and statistics: Reflections and directions. In D. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp. 465–494). New York: Macmillan.
Strauss, A., & Corbin, J. (1998). Basics of qualitative research: Techniques and procedures for developing grounded theory. Thousand Oaks, CA: Sage.
Utts, J. (2003). What educated citizens should know about statistics and probability. The American Statistician, 57(2), 74–79.
Voigt, J. (1995). Thematic patterns of interaction and socio-mathematical norms. In P. Cobb & H. Bauersfeld (Eds.), Emergence of mathematical meaning: Interaction in classroom cultures (pp. 163–201). Hillsdale, NJ: Erlbaum.
Wiggins, G. (1998). Understanding by design. Alexandria, VA: ASCD Press.
Wisenbaker, J., & Scott, J. (1997). Modelingaspectsofstudents’attitudes and achievement in introductory statistics courses. Paper presented at AERA Annual Meeting, Chicago.
Wild, C., Triggs, C., & Pfannkuch, M. (1997). Assessment on abudget: Using traditional methods imaginatively. In I. Gal & J. B. Garfield (Eds.), The Assessment Challenge in Statistics Education. Amsterdam, Netherlands: IOS Press.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Kluwer Academic Publishers
About this chapter
Cite this chapter
Garfield, J., Ben-Zvi, D. (2004). Research on Statistical Literacy, Reasoning, and Thinking: Issues, Challenges, and Implications. In: Ben-Zvi, D., Garfield, J. (eds) The Challenge of Developing Statistical Literacy, Reasoning and Thinking. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2278-6_17
Download citation
DOI: https://doi.org/10.1007/1-4020-2278-6_17
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-2277-7
Online ISBN: 978-1-4020-2278-4
eBook Packages: Springer Book Archive