Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)

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Enhancing E-Learning Experiences Through Cognitive Science: Integrating Models For Effective Learning Environments

Authors
Youssef Erradi1, *, Souhaib Aammou1, Omar Erradi1
1Ecole Normale Supérieure, Abdelmalek Essaadi University, Tetuan, Morocco
*Corresponding author. Email: youssef.erradi@etu.uae.ac.ma
Corresponding Author
Youssef Erradi
Available Online 20 June 2025.
DOI
10.2991/978-2-38476-408-2_45How to use a DOI?
Keywords
Cognitive Sciences; Information Processing Models; Emerging Cognitive Models; Unified Model; E-learning
Abstract

The latest advances in cognitive science have had a meaningful impact on the design and implementation of e-learning systems. Cognitive data processing models and emerging cognitive models, which are fundamental elements in cognitive science, are essential tools for understanding and modeling human cognition, as well as for designing technologies and environments that enhance our understanding and usage. Moreover, combining these different models in the design, implementation, management, and evaluation of e-learning experiences can leverage the strengths of each to create more effective and adaptive online learning environments. By utilizing a comparative and cross-analytical methodology to examine various information processing models and emerging cognitive models, as referenced in 35 Scopus research articles, and by considering the characteristics and empirical evidence of each model, we have pinpointed the key components of a unified model. This model integrates the strengths of each model to create an optimized and adaptive framework for the design of an e-learning system.

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.

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Volume Title
Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
20 June 2025
ISBN
978-2-38476-408-2
ISSN
2667-128X
DOI
10.2991/978-2-38476-408-2_45How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Youssef Erradi
AU  - Souhaib Aammou
AU  - Omar Erradi
PY  - 2025
DA  - 2025/06/20
TI  - Enhancing E-Learning Experiences Through Cognitive Science: Integrating Models For Effective Learning Environments
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)
PB  - Atlantis Press
SP  - 605
EP  - 619
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-2-38476-408-2_45
DO  - 10.2991/978-2-38476-408-2_45
ID  - Erradi2025
ER  -