Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)

Personalization of learning through pedagogical scenarios in adaptive e-Learning

Authors
Anoir Lamya1, *, Chelliq Ikram1, Khaldi Maha1, Khaldi Mohamed Khaldi1
1Research team in Computer Science and University Pedagogical Engineering Higher Normal School, Abdelmalek Essaadi University, Tetouan, Morocco
*Corresponding author. Email: lamya.anoir@uae.ac.ma
Corresponding Author
Anoir Lamya
Available Online 5 February 2024.
DOI
10.2991/978-94-6463-360-3_2How to use a DOI?
Keywords
personalization; modeling; pedagogical scenario; online scenario; pedagogical activity
Abstract

Technology has transformed the way we learn and teach. With the advent of e-Learning, adaptive e-Learning is emerging as a powerful tool for personalizing the learning experience.

The recent emergence of pedagogical modeling languages for learning scenarios represents a first type of response to these new requirements, he propose the formalization of relationships between actors, resources, tools, and services. The aim is to model the design and development of personalized learning situations involving different users (learners, teachers, tutors, etc.).This article explores in depth the crucial role of pedagogical scenarios in the personalized e-learning process, based on the different types of learning activities that can be used to create a learning environment.

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.

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Volume Title
Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
5 February 2024
ISBN
978-94-6463-360-3
ISSN
2667-128X
DOI
10.2991/978-94-6463-360-3_2How to use a DOI?
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  - Anoir Lamya
AU  - Chelliq Ikram
AU  - Khaldi Maha
AU  - Khaldi Mohamed Khaldi
PY  - 2024
DA  - 2024/02/05
TI  - Personalization of learning through pedagogical scenarios in adaptive e-Learning
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)
PB  - Atlantis Press
SP  - 7
EP  - 19
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-360-3_2
DO  - 10.2991/978-94-6463-360-3_2
ID  - Lamya2024
ER  -