Artificial Intelligence for Personalizing Educational Systems

Authors

  • Morgan Allen
  • Rowan Edwards
  • Kim Lee

Keywords:

artificial intelligence, education, personalization, learning, technology

Abstract

This study explores the application of artificial intelligence (AI) in personalizing educational systems to enhance learning outcomes. AI technologies like machine learning and language processing are analyzed for their ability to tailor educational content to individual student needs. The paper reviews case studies from schools and universities in the USA, Europe, and Asia, highlighting successful implementations and challenges such as privacy and data management. It concludes with recommendations for educators and policymakers to effectively integrate AI in education for personalized learning experiences.

Author Biographies

Morgan Allen

Ph.D. in Educational Technology
Delft University of Technology
Postbus 5, 2600 AA Delft, Netherlands

Rowan Edwards

Ph.D. in Computer Science
Carnegie Mellon University
5000 Forbes Ave, Pittsburgh, PA 15213, USA

Kim Lee

Ph.D. in Education
Ukrainian Catholic University
Stryiska St, 29, Lviv, Lviv Oblast, 79000, Ukraine

References

Arkabaev, N., Rahimov, E., Abdullaev, A., Padmanaban, H., & Salmanov, V. (2025). Modelling and analysis of optimization algorithms. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 9(1), 161-177.

Kumar, N., & Kataria, V. (2025). Unpacking the Emotional Landscape of Reviews: Sentiment-Augmented Topic Modeling with Transformer Embeddings.

Published

2025-10-24

Issue

Section

Articles