Journal of Algorithms and Computation
Open Access

Transforming Education with AI: The Development of a Personalized Learning Algorithm for Individual Learning Styles

Document Type : Research Paper

Authors

Delara Jafari
Zahra Shaterzadeh-Yazdi

School of Engineering Science, College of Engineering, University of Tehran, 16 Azar Street, Enghelab Square, Tehran, Iran

https://doi.org/10.22059/jac.2025.388822.1220
Abstract
The evolving educational landscape requires innovative teaching methods to enhance learning and accommodate diverse styles. Technologies like artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are transforming education by improving student performance and engagement. This research introduces an Artificial Intelligent Personal Recommender System Algorithm (AIPRS) that focuses on individual learning styles and interests to recommend customized learning programs. Unlike traditional methods, AIPRS personalizes education by analyzing learners' backgrounds and preferences, utilizing AI, ML, and IoT. This tailored approach marks a significant shift from conventional systems, emphasizing the importance of individual learning styles to improve the overall educational experience. The study highlights the potential of personalized education, offering a solution to efficiently deliver knowledge and enhance student satisfaction.

Keywords

Personalized Recommender Learning Algorithm
Artificial Intelligence (AI)
Machine Learning (ML)
Internet of Things (IoT)
Educational Technology
Learning Styles
Journal of Algorithms and Computation
Volume 56, Issue 2
December 2024
Pages 135-150

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