Thanks to visit codestin.com
Credit goes to link.springer.com

Skip to main content
Log in

Different ways in which students handle chance encounters in the explorative setting of a dice game

  • Published:
Educational Studies in Mathematics Aims and scope Submit manuscript

Abstract

The purpose of this study is to investigate the ways in which Swedish seventh grade students (12 and 13 years old) handle chance encounters. Four groups of students working in pairs participated in the study. In the group discussions, which were tape-recorded and fully transcribed, the students were encouraged to explore strategies for winning a specifically designed dice game based on the sum of two dice. The dice game included four different set-ups of dice designed to bring to the fore different aspects of probability modelling and to offer the student the opportunity to encounter small differences in the mathematical structure of the sample space and of the probability distribution between the four different set-ups. The study describes strategies that the students use when confronted with these different set-ups, what their activities imply in terms of resources in handling random phenomena and what the dice game offers in terms of opportunities for learning probability. In order to explain such meaning-making processes the students’ activities are viewed from a perspective that takes into consideration how the students’ understanding varies with their interpretations of the situation they are confronted with, i.e., how they contextualize the different set-ups of the dice game. The results show how the students, during the course of the game, reorganize their interpretations of the mathematical content confronting them, and how a variation of guiding principles becomes the object of exploration. Approaches of extremes and a number model are described as a means for the students to identify and assign probabilities for the total of two dice.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+
from £29.99 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Figure 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Figure 6
Figure 7
Figure 8

Similar content being viewed by others

References

  • Bruner, J. S. (1968). Towards a theory of instruction. New York: Norton.

    Google Scholar 

  • Caravita, S., & Halldén, O. (1994). Re-framing the problem of conceptual change. Learning and Instruction, 4, 89–111.

    Article  Google Scholar 

  • Casscells, W., Schoenberger, A., & Graboys, T. B. (1978). Interpretation by physicians of clinical laboratory results. New England Journal of Medicine, 299, 999–1001.

    Article  Google Scholar 

  • Cosmides, L., & Tooby, J. (1996). Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty. Cognition, 58, 1–73.

    Article  Google Scholar 

  • Fischbein, E., Nello, M. S., & Marino, M. S. (1991). Factors affecting probabilistic judgements in children and adolescents. Educational Studies in Mathematics, 22, 523–549.

    Article  Google Scholar 

  • Gilovich, T., Griffin, D., & Kahneman, D. (Eds.) (2002). Heuristics and biases: The psychology of intuitive judgement. Cambridge: Cambridge University Press.

    Google Scholar 

  • Halldén, O. (1988). Alternative frameworks and the concept of task. Cognitive constraints in students’ interpretations of teachers’ assignments. Scandinavian Journal of Educational Research, 32, 123–140.

    Article  Google Scholar 

  • Halldén, O. (1999). Conceptual change and contextualisation. In W. Schnotz, M. Carretero & S. Vosniadou (Eds.), New perspectives on conceptual change (pp. 53–65). London: Elsevier.

    Google Scholar 

  • Kahneman, D., & Tversky, A. (1972). Subjective probability: A judgement of representativeness. Cognitive Psychology, 3, 430–454.

    Article  Google Scholar 

  • Kahneman, D., & Tversky, A. (1982). On the study of statistical intuitions. In D. Kahneman, P. Slovic & A. Tversky (Eds.), Judgment under uncertainty: Heuristics and biases (pp. 493–508). Cambridge: Cambridge University Press.

    Google Scholar 

  • Keeler, C., & Steinhorst, K. (2001). A new approach to learning probability in the first statistics course. Journal of Statistics Education, 9, 1–23.

    Google Scholar 

  • Keren, G. (1984). On the importance of identifying the correct sample space. Cognition, 16, 121–128.

    Article  Google Scholar 

  • Lecoutre, M. P. (1992). Cognitive models and problem spaces in ‘Purely Random’ situations. Educational Studies in Mathematics, 23, 557–568.

    Article  Google Scholar 

  • Marton, F., Runesson, U., & Tsui, A. (2004). The space of learning. In F. Marton & A. Tsui (Eds.), Classroom discourse and the space of learning. Mahwah, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Polaki, M. V. (2005). Dealing with compound events. In G. A. Jones (Ed.), Exploring probability in school: Challenges for teaching and learning (pp. 191–214). Berlin Heidelberg New York: Springer.

    Google Scholar 

  • Pratt, D. (2000). Making sense of the total of two dice. Journal for Research in Mathematics Education, 31(5), 602–625.

    Article  Google Scholar 

  • Pratt, D., & Noss, R. (2002). The micro-evolution of mathematical knowledge: The case of randomness. Journal of the Learning Sciences, 11(4), 453–488.

    Article  Google Scholar 

  • Ryve, A. (2006). Making explicit the analysis of students’ mathematical discourses – Revisiting a newly developed methodological framework. Educational Studies in Mathematics, 62, 191–210.

    Article  Google Scholar 

  • Scheja, M. (2002). Contextualising studies in higher education – First-year experiences of studying and learning in engineering. PhD thesis, Department of Education, Stockholm University, Sweden.

  • Shaughnessy, M. (1992). Research in probability and statistics: Reflections and directions. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp. 465–494). New York: Macmillan.

    Google Scholar 

  • Speiser, R., & Walter, C. (1998) Two dice, two sample spaces. In L. Pereira-Mendoza, L. Seu Kea, T. Wee Kee & W.-K. Wong (Eds.), Proceedings of the Fifth International Conference on Teaching Statistics, Vol. 1 (pp. 67–73). Voorburg, The Netherlands: International Statistical Institute Permanent Office.

    Google Scholar 

  • Steinbring, H. (1991). The theoretical nature of probability in the classroom. In R. Kapadia & M. Borovcnik (Eds.), Chance encounters: Probability in education (pp. 135–167). The Netherlands: Kluwer.

    Google Scholar 

  • Säljö, R. (1991). Learning and mediation – Fitting reality into a table. Learning and Instruction, 1, 261–272.

    Article  Google Scholar 

  • Tiberghien, A. (1994). Modeling as a basis for analyzing teaching–learning situations. Learning and Instruction, 4, 71–87.

    Article  Google Scholar 

  • Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5, 207–232.

    Article  Google Scholar 

  • Vidakovic, D., Berenson, S., & Brandsma, J. (1998). Children’s intuition of probabilistic concepts emerging from fair play. In L. Pereira-Mendoza, L. Seu Kea, T. Wee Kee & W.-K. Wong (Eds.), Proceedings of the Fifth International Conference on Teaching Statistics, Vol. 1 (pp. 67–73). Voorburg, The Netherlands: International Statistical Institute Permanent Office.

    Google Scholar 

  • von Wright, G. H. (1971). Explanation and understanding. London: Routledge and Kegan Paul.

    Google Scholar 

  • Watson, J. (2005). The probabilistic reasoning of middle school students. In G. A. Jones (Ed.), Exploring probability in school: Challenges for teaching and learning (pp. 145–169). Berlin Heidelberg New York: Springer.

    Google Scholar 

  • Wistedt, I., & Brattström, G. (2004). Mathematical induction in a cooperative setting. Merits and limitations of classroom communication among peers. In A. Chronaki & M. Christiansen (Eds.), Challenging ways of viewing classroom communication. Greenwich, UK: Information Age.

    Google Scholar 

  • Wistedt, I., Brattström, G., & Jacobsson, C. (1983). Att använda barns informella kunskaper I matematikundervisningen [Using children’s informal knowledge in mathematics education]. Stochholms universitet: Pedagogiska institutionen.

Download references

Acknowledgments

The author would like to thank Inger Wistedt, Håkan Sollervall, Lennart Hellström and Andreas Ryve for providing valuable feedback on previous versions of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Per Nilsson.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Nilsson, P. Different ways in which students handle chance encounters in the explorative setting of a dice game. Educ Stud Math 66, 293–315 (2007). https://doi.org/10.1007/s10649-006-9062-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue date:

  • DOI: https://doi.org/10.1007/s10649-006-9062-0

Keywords