
06458038
j
2015e.00819
Martignon, Laura
Kuntze, Sebastian
Good models and good representations are a support for learners' risk assessment.
Math. Enthus. 12, No. 13, 157167 (2015).
2015
Information Age Publishing (IAP), Charlotte, NC; University of Montana, Department of Mathematical Sciences, Missoula, MT
EN
K50
K90
K70
M10
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
http://www.math.umt.edu/tmme/vol12no1thru3/14_Martignon_and_Kuntze.pdf
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 decisionmaking.