ARTIFICIAL INTELLIGENCE AND DIGITAL LEARNING: TRANSFORMING MODERN EDUCATION
Keywords:
artificial intelligence, digital learning, e-learning, adaptive learning, intelligent tutoring systems, educational technology.Abstract
This article explores the role of artificial intelligence (AI) in digital learning environments and its impact on modern education systems. It examines how AI-driven technologies such as adaptive learning platforms, intelligent tutoring systems, and data analytics enhance personalized learning experiences. The study also discusses the advantages and challenges of integrating AI into education, including accessibility, efficiency, ethical concerns, and teacher–student interaction. Furthermore, the article evaluates the future prospects of AI-powered education and its potential to reshape traditional teaching methodologies into more flexible, learner-centered models.
References
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
Siemens, G., & Baker, R. S. J. d. (2012). Learning analytics and educational data mining. International Journal of Technology in Enhanced Learning.
Woolf, B. P. (2010). Building Intelligent Interactive Tutors. Morgan Kaufmann.
UNESCO (2021). AI and Education: Guidance for Policy Makers. United Nations Educational, Scientific and Cultural Organization.
Downloads
Published
Issue
Section
How to Cite
