Personalized learning through AI

Maher Joe Khan Omar  Jian

doi:10.54254/2977-3903/5/2023039

Research Article

Open access

Published on 25 December 2023

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Jian,M.J.K.O. (2023). Personalized learning through AI. Advances in Engineering Innovation,5,16-19.

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Personalized learning through AI

Maher Joe Khan Omar Jian *^,1,

¹ University of North Florida

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2977-3903/5/2023039

Abstract

The realm of education is witnessing a transformative integration with Artificial Intelligence (AI), poised to redefine the contours of pedagogical strategies. Central to this transformation is the emergence of personalized learning experiences, where AI endeavors to tailor educational content and interactions to resonate with individual learners' unique needs, preferences, and pace. This paper delves into the multifaceted dimensions of AI-driven personalized learning, from its potential to enhance e-learning modules, the advent of AI-powered virtual tutors, to the ethical challenges it surfaces. As the tapestry of education becomes more intertwined with digital innovations, understanding AI's role in individualizing learning becomes paramount.

Keywords

artificial intelligence in education, personalized learning, virtual tutors, e-learning modules, ethical considerations in AI

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References

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Cite this article

Jian,M.J.K.O. (2023). Personalized learning through AI. Advances in Engineering Innovation,5,16-19.

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Journal：Advances in Engineering Innovation

Volume number: Vol.5

ISSN：2977-3903(Print) / 2977-3911(Online)

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