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AI and Education: Bridging the Gap to Personalized, Efficient, and Accessible Learning

AI and Education: Bridging the Gap to Personalized, Efficient, and Accessible Learning
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Author(s): T. Monika Singh (Stanley College of Engineering and Technology for Women, India), C. Kishor Kumar Reddy (Stanley College of Engineering and Technology for Women, India), B. V. Ramana Murthy (Stanley College of Engineering and Technology for Women, India), Anindya Nag (Northern University of Business and Technology, Khulna, Bangladesh)and Srinath Doss (Botho University, Botswana)
Copyright: 2025
Pages: 30
Source title: Internet of Behavior-Based Computational Intelligence for Smart Education Systems
Source Author(s)/Editor(s): Mariya Ouaissa (Cadi Ayyad University, Morocco), Mariyam Ouaissa (Chouaib Doukkali University, Morocco), Hanane Lamaazi (College of Information Technology, UAE University, UAE), Mahmoud El Hamlaoui (Mohammed V University, Morocco)and Kishor Kumar Reddy C. (Stanley College of Engineering and Technology for Women, India)
DOI: 10.4018/979-8-3693-8151-9.ch005

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Abstract

This chapter explores how Artificial Intelligence (AI) is revolutionizing education by transforming traditional learning methods into more personalized, efficient, and accessible experiences. It examines the historical evolution of educational technologies, highlights the shift to AI-driven approaches, and outlines key elements such as data-driven insights, interactive learning environments, personalized platforms, and administrative task automation. The study discusses AI's advantages, including enhanced personalization, increased efficiency, improved accessibility, and greater student engagement. It also addresses challenges like data privacy, equity, teacher training, and ethical concerns. Through practical case studies, the paper offers insights into effective AI implementations and concludes with recommendations for future developments in AI-driven education.

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