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AI-Powered Learning Revolutionizing Smart Education With Personalized Learning Styles
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Author(s): Suryanarayana Murthy Suryanarayana Yamijala (Vardhaman College Engineering, India), R. S. C. Murthy Chodisetty (Vardhaman College of Engineering, India), Chandresh Chakravorty (Vardhaman College of Engineering, India)and K. Pardha Sai (Aditya University, India)
Copyright: 2025
Pages: 22
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.ch007
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Abstract
The advent of Artificial Intelligence (AI) has revolutionized the landscape of education by enabling highly personalized learning experiences. This chapter explores the integration of AI in smart education systems to determine and adapt to diverse learning styles, thereby enhancing student engagement and outcomes. By leveraging advanced AI algorithms, educational platforms can analyze students' behavior, preferences, and performance data to tailor content and teaching methods that align with individual learning styles. This adaptive approach not only fosters a more inclusive learning environment but also maximizes the effectiveness of educational delivery. The study delves into various AI techniques, such as machine learning, natural language processing, and data analytics, which are pivotal in developing smart education systems capable of continuous learning and improvement. Additionally, the paper highlights the potential challenges and ethical considerations associated with implementing AI-driven personalized learning in education.
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