AI and Lifelong Learning in Developing Countries: Investigate the Potential of AI to Support Lifelong Learning and Development in Low-Resource Contexts

AI and Lifelong Learning in Developing Countries: Investigate the Potential of AI to Support Lifelong Learning and Development in Low-Resource Contexts

Mohit Yadav (O.P. Jindal Global University, India), Sandeep Kumar Singh (O.P. Jindal Global University, India), Parth Sharma (University of Petroleum and Energy Studies, India), and Ta Huy Hung (Vietnam National University, Hanoi, Vietnam)
Copyright: © 2025 |Pages: 24
DOI: 10.4018/979-8-3693-0884-4.ch003
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Abstract

This study explores the role of artificial intelligence (AI) in supporting lifelong learning and development in developing countries, focusing on low-resource contexts. By analyzing case studies of ConveGenius and EkStep in India, and Eneza Education and Geekie in Kenya, the research highlights AI's potential to deliver personalized and adaptive learning experiences. The findings demonstrate significant improvements in educational outcomes and engagement, despite challenges related to digital access, teacher training, and infrastructure. Expert interviews provide additional insights into practical, societal, and theoretical implications, emphasizing the need for sustainable and scalable solutions. This study contributes to understanding AI's transformative impact on education and offers recommendations for enhancing its effectiveness in diverse educational settings.
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