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This is a session of Topic 3: Learning to teach statistics

(Thursday 15th, 11:00-12:30)

Similarities and contrasts in teaching mathematical and statistical thinking



Mathematical concepts enable us to structure our thinking; corresponding models help us to structure reality. They supply us with tools to recognize and solve problems. Mathematical models are used also in stochastics. Yet, there seems to be a difference in usage and connotation.

The principal thesis of this session is that mathematical and stochastic thinking are different.

Contributions to reflect similarities and differences in mathematical and stochastic thinking are welcome, whether they are suitable case studies discussing such issues, or empirical feedback from learners reflecting the topic. The aim is to conceive relevant differences and similarities between these types of thinking, which offer didactical opportunities to improve the teaching of both mathematics and stochastics.


PaperTitlePresenter(s) / Author(s)
3F1Chance and necessity: the languages of probability and mathematicsRamesh Kapadia (United Kingdom)
3F2Mathematical logic and statistical or stochastical ways of thinking: an educational point of viewÖdön Vancsó (Hungary)
3F3Exploration and induction versus confirmation and deductionKathryn Laskey (United States)
Laura Martignon (Germany)