Teaching Conditional Probability from the Perspective of HPM
- DOI
- 10.2991/978-2-38476-523-2_14How to use a DOI?
- Keywords
- HPM; conditional probability; teaching design; case of history of mathematics
- Abstract
This study explores a new path for teaching conditional probability based on the perspective of HPM (History of Mathematics Embedded in Mathematics Education). Article organizes relevant historical materials on conditional probability, constructs a three-dimensional teaching framework with historical context as the starting point, ideological context as the main line, and real- application as the extension, by using historical cases such as the problems proposed by the French mathematician de Moivre in his “Doctrine of Chances” and the arguments put by Keynes in his “Treatise on Probability”. This teaching model can effectively improve students’ depth of understanding of concepts, critical thinking, logical reasoning ability, and in learning, and provides a feasible example for the practice of HPM concept in probability teaching. It also provides new ideas for the current core literacy-oriented mathematics curriculum reform.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Rui Wang AU - Jinping Jiang AU - Tuantuan Ke PY - 2025 DA - 2025/12/29 TI - Teaching Conditional Probability from the Perspective of HPM BT - Proceedings of the 5th International Conference on New Media Development and Modernised Education (NMDME 2025) PB - Atlantis Press SP - 136 EP - 146 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-523-2_14 DO - 10.2991/978-2-38476-523-2_14 ID - Wang2025 ER -