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Michael Röbner; Karin Binder; Corbinian Geier; Stefan Krauss – Educational Studies in Mathematics, 2025
It has been established that, in Bayesian tasks, performance and typical errors in reading information from filled visualizations depend both on the type of the provided visualization and information format. However, apart from reading visualizations, students should also be able to create visualizations on their own and successfully use them as…
Descriptors: Academic Achievement, Error Patterns, Probability, Visualization
María del Mar López-Martín; María Burgos Navarro; Verónica Albanese – Statistics Education Research Journal, 2025
To ensure the learning of mathematics, teachers must be able to analyse their students' mathematical practices when solving tasks, interpret the difficulties that students encounter, and decide how to manage students' difficulties. This competence in didactic analysis and intervention allows teachers to adapt their teaching to meet individual…
Descriptors: Statistics Education, Mathematics Instruction, Student Needs, Preservice Teachers
Dilek Girit Yildiz; Esila Müftüoglu – Turkish Journal of Education, 2025
The aim of this study is to reveal and evaluate the attending and interpreting skills of student thinking of prospective teachers, as well as their instructional suggestions as responding skills. The current study was conducted with 29 prospective mathematics teachers (PMTs) within a qualitative design in the context of probability. First, three…
Descriptors: Thinking Skills, Preservice Teachers, Probability, Middle School Students

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