Triangulation in teaching probability: teaching materials for the theoretical foundations of probability in real-world applications

This paper proposes using the concept of triangulation with probabilistic models as a means to enhance theoretical inversion for deepening students’ understanding of the nature of probability in real-world contexts. Triangulation refers to the combined application of multiple methodologies to investigate the same phenomenon, particularly in the social sciences. Theoretical inversion refers to a shift in focus from surprising outcomes to the theoretical foundations of probability. The paper introduces three types of problem-solving tasks designed to enhance one of four types of triangulations: theory triangulation. Theoretical inversion is expected to emerge through engaging in these tasks. The characteristics of the problems are as follows. Problem 1 promotes students to compare different probabilistic models of events under similar procedures. Problem 2 provides students with an opportunity to simplify an experiment by omitting steps that add no new information. Problem 3 enhances students’ ability to recognise how subtle differences in the experimental setup can affect the resulting probability. These tasks are designed to encourage students to view probabilistic reasoning as a form of modelling and to appreciate the importance of assumptions, definitions of elementary events, and clarity in procedural descriptions.

Authors

Institutions

Publication Details

Journal
International Journal of Mathematical Education in Science and Technology
Published
2026-04-01
DOI
https://doi.org/10.1080/0020739x.2026.2648014
Primary Topic
Statistics Education and Methodologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Triangulation in teaching probability: teaching materials for the theoretical foundations of probability in real-world applications

Yusuke Uegatani, Ippo Ishibashi, Aya Sakota
International Journal of Mathematical Education in Science and Technology
Statistics Education and Methodologies
article

Triangulation in teaching probability: teaching materials for the theoretical foundations of probability in real-world applications

Yusuke Uegatani, Ippo Ishibashi, Aya Sakota
article en

Abstract

This paper proposes using the concept of triangulation with probabilistic models as a means to enhance theoretical inversion for deepening students’ understanding of the nature of probability in real-world contexts. Triangulation refers to the combined application of multiple methodologies to investigate the same phenomenon, particularly in the social sciences. Theoretical inversion refers to a shift in focus from surprising outcomes to the theoretical foundations of probability. The paper introduces three types of problem-solving tasks designed to enhance one of four types of triangulations: theory triangulation. Theoretical inversion is expected to emerge through engaging in these tasks. The characteristics of the problems are as follows. Problem 1 promotes students to compare different probabilistic models of events under similar procedures. Problem 2 provides students with an opportunity to simplify an experiment by omitting steps that add no new information. Problem 3 enhances students’ ability to recognise how subtle differences in the experimental setup can affect the resulting probability. These tasks are designed to encourage students to view probabilistic reasoning as a form of modelling and to appreciate the importance of assumptions, definitions of elementary events, and clarity in procedural descriptions.

International Journal of Mathematical Education in Science and Technology
Hiroshima University (JP), Okayama University (JP), University High School (US)
Japan Society for the Promotion of Science
Openalex Percentile: Top 23%
Statistics Education and Methodologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.