Artificial Intelligence in Personalized Learning: Revolutionizing Evolution for Diverse Learner Needs
Abstract
AI has now emerged as a transformative force in the education sector, facilitating personalized learning experiences that meet the diversified needs of students. The paper discusses the integration of AI technologies in personalized education and focuses on how adaptive learning systems, natural language processing, and machine learning algorithms reshape traditional educational paradigms. By examining real-world applications and recent progress, this study highlights the deep influence AI is having on enhancing student engagement, knowledge retention, and individual learning pace tolerance. Some of the essential use cases debated involved virtual AI tutors, predictive analytics for the performance of learners, and gamification for building a more inclusive and fair learning environment. The paper further discusses various ethical challenges to AI implementation in education, including data privacy, algorithmic bias, and the digital divide. This study, therefore, underlines the role AI-driven personalized learning may play in revolutionizing education by bridging gaps in accessibility, enhancing teacher-student interactions, and fostering lifelong learning opportunities through a review of the literature, case studies, and data-driven insights. It also looks at future directions for AI integration, such as its role in hybrid learning models and cross-cultural education systems, thereby providing a comprehensive road map for educators and policymakers.
Keywords
Artificial Intelligence, Personalized Learning, Adaptive Learning Systems, AI in Education, Machine Learning, Digital Inclusion, Gamification, Education Technology, Ethical AI, Lifelong Learning
Citations
IRE Journals:
Abeer M. W. Alharbi
"Artificial Intelligence in Personalized Learning: Revolutionizing Evolution for Diverse Learner Needs" Iconic Research And Engineering Journals Volume 8 Issue 6 2024 Page 618-628
IEEE:
Abeer M. W. Alharbi
"Artificial Intelligence in Personalized Learning: Revolutionizing Evolution for Diverse Learner Needs" Iconic Research And Engineering Journals, 8(6)
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