La catégorisation des tâches et du travailleur-sujet : un outil méthodologique pour l’étude du travail mathématique dans le domaine des probabilités
The categorization of tasks and the worker-subject: a methodological tool for the study of mathematical work in the probability field This article focuses on the study of the mathematical work produced after the resolution of probabilistic tasks as well as the students’ role in the elaboration of th...
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| Pubblicato in: | URI:https://journals.openedition.org/adsc, |
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| Autore principale: | |
| Natura: | Article ou chapitre numérique |
| Lingua: | Français |
| Pubblicazione: |
Annales de Didactique et de Sciences Cognitives
2022
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| Soggetti: | |
| Accesso online: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |
| Riassunto: | The categorization of tasks and the worker-subject: a methodological tool for the study of mathematical work in the probability field This article focuses on the study of the mathematical work produced after the resolution of probabilistic tasks as well as the students’ role in the elaboration of this mathematical work. This led us to categorize mathematical tasks (simple, standard, rich) according to their level of epistemological and cognitive demand. This categorization is associated with students’ learning in the form of a worker-subject (jobber, technician, engineer). Using this categorization and the Mathematical Working Space (MWS) model, we analyzed the implementation of a probabilistic task in two tenth grade classes. This analysis of the two class sessions allowed us to characterize the transformations of the nature of the tasks by the teachers during its implementation. These transformations generate a decrease in the level of cognitive demand of the task and also in the students’ role in solving the task. |
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