Artificial Intelligence for Dyslexia: A Meta-Analysis

Anas Rezzaki; Zineb Moumen; Fadwa El Otmani; Abdelmawla Saidi

doi:10.2991/978-94-6239-634-0_11

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Artificial Intelligence for Dyslexia: A Meta-Analysis

Authors

Anas Rezzaki¹^{, *}, Zineb Moumen², Fadwa El Otmani³, Abdelmawla Saidi¹

¹École Normale Supérieure, Sidi Mohamed Ben Abdelah University, Fez, Morocco

²École Normale Supérieure, Mohammed V University, Rabat, Morocco

³Moroccan School of Engineering, Rabat, Morocco

^*Corresponding author. Email: anas.rezzaki@usmba.ac.ma

Corresponding Author

Anas Rezzaki

Available Online 2 April 2026.

DOI: 10.2991/978-94-6239-634-0_11 How to use a DOI?
Keywords: learning disabilities; dyslexia; artificial intelligence; early diagnosis; adaptive learning
Abstract: This research examines the impact of artificial intelligence tools on supporting individuals with dyslexia, based on a meta-analysis of experimental and quasi-experimental studies published between 2015 and 2025. The study evaluates two complementary dimensions: AI-based prediction and diagnosis systems that improve the accuracy of screening and early identification, and AI-based educational support tools that provide personalised interventions and adaptive learning environments.

The meta-analysis included 12 studies with 2,530 participants (1,186 diagnosed with dyslexia). The results showed a small positive effect of AI integration, which was not statistically significant, alongside considerable heterogeneity across studies, reflecting diverse methodologies and application contexts. Sensitivity analyses confirmed the robustness of these findings, and no significant publication bias was detected.

Artificial Intelligence (AI) thus appears to be a promising tool, especially for the early detection of dyslexia; however, additional research is required to determine its effectiveness in educational interventions. Future studies should adopt harmonized, longitudinal approaches to investigate the factors that influence how AI tools affect learning outcomes.
Copyright: © 2026 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 2025)
Series: Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date: 2 April 2026
ISBN: 978-94-6239-634-0
ISSN: 2667-128X
DOI: 10.2991/978-94-6239-634-0_11 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Anas Rezzaki
AU  - Zineb Moumen
AU  - Fadwa El Otmani
AU  - Abdelmawla Saidi
PY  - 2026
DA  - 2026/04/02
TI  - Artificial Intelligence for Dyslexia: A Meta-Analysis
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2025)
PB  - Atlantis Press
SP  - 139
EP  - 151
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-634-0_11
DO  - 10.2991/978-94-6239-634-0_11
ID  - Rezzaki2026
ER  -

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