Book chapter
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English

Modelling of Learning Paths, Adaptable to the Learner, in a Learning Environment

Published inFlorensa, I., Ruiz-Munzón, N., Markulin, K., Barquero, B., Bosch, M. & Chevallard, Y. (Ed.), Extended Abstracts 2022. CITAD 2022, p. 117-131
PublisherBirkhäuser, Cham. : Springer Nature Switzerland
Collection
  • Trends in Mathematics; 16
Publication date2024
First online date2024-07-23
Abstract

The research presented in this paper is part of a project to design a learning environment for mathematics in secondary schools (11–15 years old). We consider three issues in this work: the consideration of the learner in the environment, the description and production of exercises in the platform, and finally the linking of these two elements through learning paths adaptable to the learner. For the consideration of the learner, we have introduced the notion of personal logos. The resources are described and produced using a knowledge model. Finally, the learning paths are structured in relation to the praxeological needs of the students, without however aiming to satisfy them completely in the environment.

Keywords
  • Digital learning environment
  • Learning path
  • Mathematics education
  • ATD
  • Resource
Citation (ISO format)
JOLIVET, Sébastien, GRUGEON-ALLYS, Brigitte. Modelling of Learning Paths, Adaptable to the Learner, in a Learning Environment. In: Extended Abstracts 2022. CITAD 2022. Florensa, I., Ruiz-Munzón, N., Markulin, K., Barquero, B., Bosch, M. & Chevallard, Y. (Ed.). Birkhäuser, Cham. : Springer Nature Switzerland, 2024. p. 117–131. (Trends in Mathematics) doi: 10.1007/978-3-031-55939-6_8
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Book chapter (Accepted version)
Identifiers
ISBN9783031559419
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71downloads

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