IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 15, No 5: October 2026

Application of adaptive artificial intelligence for personalizing learning paths in e-learning

Mohammed Salihoun (Moulay Ismail University)
Abdelali Elmounadi (Mohammed V University)



Article Info

Publish Date
01 Oct 2026

Abstract

The field of education and online education in particular, has undergone radical change thanks to digital transformation. The integration of adaptive artificial intelligence (AI) into the latter has given a further significant evolution, enabling the online personalization of learning paths. The result is clearly effective, engaging and specific education for every student. This article analyzes how adaptive AI can improve e-learning, with a specific accentuation on algorithms and tools—such as machine learning and deep learning that enable this level of customization. Technical and ethical challenges will be discussed, as we go over their benefits, precisely with regard to improving learning outcomes and promoting student involvement and engagement. Additionally, the paper examines the potential applications of adaptive AI in online learning, stressing the anticipated advancements and the significance of a thoughtful strategy that considers moral and legal concerns. The paper highlights the ways in which adaptive AI can revolutionize distance learning and stimulates critical thought about the implications of its broad implementation.

Copyrights © 2026






Journal Info

Abbrev

IJAI

Publisher

Subject

Computer Science & IT Engineering

Description

IAES International Journal of Artificial Intelligence (IJ-AI) publishes articles in the field of artificial intelligence (AI). The scope covers all artificial intelligence area and its application in the following topics: neural networks; fuzzy logic; simulated biological evolution algorithms (like ...