Secondary and university students’ understanding of independence and conditional probability
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Jak citovat

Mošna, F. (2023). Secondary and university students’ understanding of independence and conditional probability. Scientia in Educatione, 14(1), 15-26. https://doi.org/10.14712/18047106.3013

Abstrakt

The primary objective of the study was to investigate the perceptions of Czech secondary and university students regarding independence in tasks involving multiple repetitions of random events and their understanding of conditional probability. The study employed a sample of 43 students, ranging in age from 15 to 23, who engaged in think-aloud interviews. The selection of eight tasks was based on existing literature.
A qualitative analysis of the interview transcripts established that students encountered difficulties comprehending the concepts of independence and conditional probability, irrespective of whether they had previously undertaken a university course on probability. Notably, certain misconceptions about independence only surfaced in more challenging tasks, wherein students relied more on their intuition than their acquired knowledge. The misconceptions primarily manifested when describing the random space. The research findings have significant educational implications, which are discussed.

https://doi.org/10.14712/18047106.3013
PDF (English)

Reference

Albert, J.H. (2003). College students’ conceptions of probability. The American Statistician, 57(1), 37–45. https://doi.org/10.1198/0003130031063

Batanero, C. (2014). Probability teaching and learning. In S. Lerman (Ed.), Encyclopedia of mathematics education (pp. 491–496). Springer. https://doi.org/10.1007/978-94-007-4978-8 128

Batanero, C. (2015). Understanding randomness: Challenges for research and teaching. In K. Krainer, & N. Vondrová (Eds.), Proceedings of the 9th Congress of European Society for Research in Mathematics Education (pp. 34–49). Charles University in Prague, Faculty of Education and ERME.

Batanero, C., & Borovcnik, M. (2016). Statistics and probability in high school. Springer. https://link.springer.com/book/10.1007/978-94-6300-624-8

Batanero, C., & Sanchéz, E. (2005). What is the nature of high school students’ conceptions and misconceptions about probability? In G. Jones (Ed.), Exploring probability in school: Challenges for teaching and learning (pp. 241–266). Springer. https://doi.org/10.1007/0-387-24530-8 11

Dale, A. I. (1982). Bayes or Laplace? An examination of the origin and early applications of Bayes’ theorem. Archive for History of Exact Sciences, 27(1), 23–47. https://doi.org/10.1007/BF00348352

de Moivre, A. (1756). The doctrine of chances. (3rd ed.). A. Millar.

Díaz, C., & Batanero, C. (2009). University students’ knowledge and biases in conditional probability reasoning. International Electronic Journal of Mathematics Education, 4(3), 131–162. https://doi.org/10.29333/iejme/234

Díaz, C., Batanero, C., & Contreras, J. M. (2010). Teaching independence and conditional probability. Boletin de Estadistica e Investigacion Operativa, 26(2), 149–162.

Díaz, C., & de la Fuente, E. I. (2007). Assessing students’ difficulties with conditional probability and Bayesian reasoning. Journal on Mathematics Education, 2(3), 128–148. https://doi.org/10.29333/iejme/180

Evans, B. (2007). Student attitudes, conceptions, and achievement in introductory undergraduate college statistics. The Mathematics Educator, 17(2), 24–30.

Falk, R. (1989). Inference under uncertainty via conditional probabilities. In R. Morris (Ed.), Studies in mathematics education: The teaching of statistics (Vol. 7, pp. 175–184). UNESCO.

Fischbein, E. (1975). The intuitive sources of probabilistic thinking in children. D. Reidel

Fischbein, E., & Schnarch, D. (1997). The evolution with age of probabilistic: Intuitively based misconceptions. Journal for Research in Mathematics Education, 28(1), 96–105. https://doi.org/10.2307/749665

FEP (2007). Framework Education Programme for Secondary General Education (Grammar Schools). VUP.

Gal, I. (2005). Towards “probability literacy” for all citizens: Building blocks and instructional dilemmas. InG.A. Jones (Ed.), Exploring probability in school: Challenges for teaching and learning (pp. 39–63). Springer. https://doi.org/10.1007/0-387-24530-8 3

Galavotti, M.C. (2017). The interpretation of probability: Still an open issue? Philosophies, 2(3), 20. https://doi.org/10.3390/philosophies2030020

Graham, A. (2006). Developing thinking in statistics. SAGE Publications Inc.

Humphreys, P. (1985). Why propensities cannot be probabilities. The Philosophical Review, 94(4), 557–570. https://doi.org/10.2307/2185246

Jones, G.A., Langrall, C.W., & Mooney, E. S. (2007). Research in probability: Responding to classroom realities. In F. Lester (Ed.), Second handbook of research on mathematics teaching and learning (pp. 909–955), Charlotte.

Konold, C. (1989). Informal conceptions of probability. Cognition and Instruction, 6(1), 59–98. https://doi.org/10.1207/s1532690xci0601 3

Konold, C., Pollatsek, A., Well, A., Lohmeier, J.H., & Lipson, A. (1993). Inconsistencies in students’ reasoning about probability. Journal for Research in Mathematics Education, 24(5), 393–414. https://doi.org/10.2307/749150

Maher, A.A., & Sigley, R. (2014). Task-based interviews in mathematics education. In S. Lerman (Ed.), Encyclopedia of mathematics education (pp. 579–582). Springer. https://doi.org/10.1007/978-94-007-4978-8

Martignon, L., & Wassner, C. (2002). Teaching decision making and statistical thinking with natural frequencies. In B. Phillips (Ed.), Proceedings of the 6th International Conference on Teaching of Statistics [CD]. International Statistical Institute.

Mccurdy, Ch. S. I. (1996). Humphrey’s paradox and the interpretation of inverse conditional propensities. Synthese, 108(1), 105–125. https://doi.org/10.1007/BF00414007

Mooney, E. S., Langrall, C.W., & Hertel, J.T. (2014). A practitioner perspective on probabilistic thinking models and frameworks. In E. Chernoff, & B. Sriraman (Eds.), Probabilistic thinking. Advances in mathematics education (pp. 495–507). Springer. https://doi.org/10.1007/978-94-007-7155-0 27

Mošna, F. (2022). Pojetí pravděpodobnosti a statistiky ve výuce. [Conceptions of probability and statistics in teaching.] Pedagogická fakulta, Univerzita Karlova.

Nemirovsky, I., Giuliano, M., Pérez, S., Concari, S., Sacerdoti, A., & Alvarez, M. (2009). Students’ conceptions about probability and accuracy. The Montana Mathematics Enthusiast, 6(1–2), 41–46. https://doi.org/10.54870/1551-3440.1132

Piaget, J., & Inhelder, B. (1951). La genése de I’idée de hasard chez I’enfant. Presses Universitaires de France.

Rolka, K., & Bulmer, M. (2005). Picturing student beliefs in statistics. Zentralblatt für Didaktik der Mathematik, 37(5), 412–417. https://doi.org/10.1007/s11858-005-0030-4

Roney, C. (2016). Independence of events, and errors in understanding it. Palgrave Communications, 2, 16050. https://doi.org/10.1057/palcomms.2016.50

Salda˜na, J. (2015). The coding manual for qualitative researchers. Sage.

Tanujaya, B., Prahmana, R.Ch. I., & Mumu, J. (2018). Designing learning activities on conditional probability. Journal of Physics: Conference Series, 1088, 012087. https://doi.org/10.1088/1742-6596/1088/1/012087

Tarr, J. E., & Lannin, J.K. (2005). How can teachers build notions of conditional probability and independence? In G.A. Jones (Ed.), Exploring probability in school: Challenges for teaching and learning (pp. 215–238). Springer. https://doi.org/10.1007/0-387-24530-8 10

Tversky, A., & Kahneman, D. (1971). Belief in the law of small numbers. Psychological Review, 76, 105–110. https://doi.org/10.1037/h0031322