IMPACT OF ARTIFICIAL INTELLIGENCE ON PERSONALIZED LEARNING IN HIGHER EDUCATION

Authors
  • Dr. Sarah Johnson

    Department of Educational Technology, Stanford University, USA

    Author

Keywords:
Artificial Intelligence, Personalized Learning, Higher Education, Adaptive Systems, Learning Analytics, Educational Technology
Abstract

Artificial Intelligence (AI) has transformed the educational landscape by enabling personalized learning environments that adapt dynamically to learners’ needs. This study explores the impact of AI-driven personalized learning systems in higher education, focusing on case studies from Stanford University (USA), the Massachusetts Institute of Technology (MIT), and The Open University (UK). Using mixed methods of surveys, analytics, and classroom data, this research assesses student engagement, academic achievement, and learning efficiency. Findings indicate that AI-powered adaptive learning improved student performance by 23% on average and enhanced learner motivation. The study concludes that the strategic integration of AI tools in pedagogy can lead to scalable, equitable, and data-informed education systems.

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Published
2025-11-18
Section
Articles
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Copyright (c) 2025 Dr. Sarah Johnson (Author)

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

IMPACT OF ARTIFICIAL INTELLIGENCE ON PERSONALIZED LEARNING IN HIGHER EDUCATION. (2025). Eureka Journal of Education & Learning Technologies, 1(1), 1-6. https://eurekaoa.com/index.php/2/article/view/5