The didactic transposition of probabilistic metric space concept
- DOI
- 10.2991/978-94-6463-360-3_21How to use a DOI?
- Keywords
- Probabilistic metric spaces; didactic transposition; thematisation
- Abstract
A space is a set which in defined a structure. Many typologies of spaces are provided in Mathematics. Before studying a lesson, teachers may know the structure of a lesson and their knowledge scholar. Two related lessons, probability and statistics, are everywhere jointly thought, however they are completely separated in their knowledge origin. In this paper, we will present the metric spaces related to the statistics and we will introduce the didactic transposition of the probabilistic metric spaces which are a generalization of usual metric spaces, the idea is to replace the distance between two points by a distribution function, it means that we do not know exactly the distance between two points but we know the probabilities of possible values of the distance. We offer an approach by the didactic transposition for how to use this type of spaces in the scholarly knowledge. Through this paper, we give an epistemological analysis of this new concept with a thematization of knowledge about the concept of probabilistic metric spaces.
- Copyright
- © 2023 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 - Youssef Achtoun AU - Mohammed Lamarti Sefian AU - Ismail Tahiri AU - Laakel Hemdanou Abderrafik AU - Mouali Sara PY - 2024 DA - 2024/02/05 TI - The didactic transposition of probabilistic metric space concept BT - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023) PB - Atlantis Press SP - 196 EP - 206 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-360-3_21 DO - 10.2991/978-94-6463-360-3_21 ID - Achtoun2024 ER -