Generative AI can transform personalized learning, but its implementation requires addressing ethics and accessibility concerns.
Authors
Rohit Yadav, IILM University, Greater Noida, India
Geshwaree Huzooree, Edinburgh Napier University, UK
Mohit Yadav, Professor, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India
Damith Sanjaya Kumara Gangodawilage, Qasim Ibrahim School of Business, Villa College, Male, Maldives
Summary
Generative AI has emerged as a transformative force in personalized learning, offering unprecedented opportunities to tailor educational content to individual needs. By leveraging advanced algorithms and data analysis, AI systems can dynamically generate customized materials, provide adaptive feedback, and foster student engagement. This chapter explores the intersection of generative AI and personalized learning, discussing its techniques, tools, and applications in creating immersive and adaptive educational experiences. Key benefits include enhanced learning outcomes, efficiency, and scalability. However, challenges such as data privacy, algorithmic bias, and equitable access must be addressed to ensure responsible implementation. Future trends, including the integration of immersive technologies like Virtual Reality (VR) and predictive analytics, highlight AI’s potential to revolutionize education. By navigating ethical considerations and fostering transparency, generative AI can become a powerful ally in creating inclusive, engaging, and student- centered learning environments.
Published in: Transformative AI Practices for Personalized Learning Strategies
To read the full chapter, please click here.
