id: 06458038
dt: j
an: 2015e.00819
au: Martignon, Laura; Kuntze, Sebastian
ti: Good models and good representations are a support for learnersâ€™ risk
assessment.
so: Math. Enthus. 12, No. 1-3, 157-167 (2015).
py: 2015
pu: Information Age Publishing (IAP), Charlotte, NC; University of Montana,
Department of Mathematical Sciences, Missoula, MT
la: EN
cc: K50 K90 K70 M10
ut: risk; risk assessment; research; mathematical model building; decision
making; absolute risk; relative risk; conditional probability; Bayesian
reasoning; stochastic thinking; teaching; primary education; internet;
modes of representation; mathematical models; natural frequencies;
double trees; lower secondary; stochastics; statistics; probability
theory; comparing risks; games; Ludo; modelling risky situations;
elementary strategies; communication of risks
ci:
li: http://www.math.umt.edu/tmme/vol12no1thru3/14_Martignon_and_Kuntze.pdf
ab: Summary: When learners have to make sense of risky situations, they can use
mathematical models and representations which facilitate successful
risk assessment. Based on theoretical considerations on the benefits of
specific models and specific representations in such contexts, we
present empirical findings of a study which examined whether students
use such models and representations in their risk assessment. We
conclude that the availability of adequate models to learners may help
them gain transparency when facing risks and thus foster their
decision-making.
rv: