AI-powered personalized learning can enhance education, but prioritizing accessibility and inclusivity is crucial for equitable opportunities.
Authors
Rohit Yadav, IILM University, Greater Noida, India
Mohit Yadav, Professor, Jindal Global Business School, O.P. Jindal Global University, India
Geshwaree Huzooree, Edinburgh Napier University, United Kingdom
Asanga Ranasinghe, Postgraduate Institute of Management, University of Sri Jayewardenepura, Sri Lanka
Ali Najeeb, Qasim Ibrahim School of Business, Villa College, Maldives
Summary
AI- powered personalized learning holds the potential to revolutionize education by tailoring content to meet the diverse needs of learners. However, for such systems to be truly effective, they must prioritize accessibility and inclusivity, ensuring equitable opportunities for all students, regardless of ability, background, or resources. This chapter explores the role of AI in personalized learning, focusing on the importance of designing systems that are both accessible and inclusive. It examines key issues such as algorithmic bias, data privacy, and the digital divide, offering strategies to mitigate these challenges. Additionally, it discusses the evolving regulatory landscape and the need for policies that foster equitable access to AI- driven educational tools. Looking ahead, the chapter highlights emerging innovations that promise to further enhance the accessibility and inclusivity of AI in education, ensuring that all learners can benefit from personalized, technology- enhanced learning experiences.
Published in: Transformative AI Practices for Personalized Learning Strategies
To read the full chapter, please click here.
