This paper is from Session 6B: Learning Conditional Probability, Part 2
which comes under Topic 6: Innovations in teaching probability
Paper 6B1 (Tuesday 10th, 16:00-17:30)
Categorizing errors in Bayesian situations
- Andreas Eichler (University of Kassel, Germany)
- Katharina Böcherer-Linder (University of Education Freiburg, Germany)
Many researchers mentioned that learners struggle when dealing with Bayesian situations, i.e. in situations that require using Bayes’ formula. It is further a wide consensus that both natural frequencies and visualizations facilitate learners’ performance in Bayesian situations. In this contribution we refer to five visualizations of Bayesian situations, i.e. a tree diagram, a double-tree, an icon array, a unit square and a 2x2-table and investigate the errors that learners show when solve problems in Bayesian situations. We categorize these errors and link the errors to the specific characteristics of the visualizations.