Enhancing quality education through AI and youth-driven digital platforms - A scalable model for achieving SDG 4

Mungai, Kibiku Samuel (2026) Enhancing quality education through AI and youth-driven digital platforms - A scalable model for achieving SDG 4. In: ESG - RISK MANAGEMENT OR NEW SUSTAINABILITY? Budapesti Gazdaságtudományi Egyetem (BGE), Budapest, pp. 103-122. ISBN 9786156886279

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Abstract

This paper examines how Artificial Intelligence and youth-driven digital platforms can transform education to achieve Sustainable Development Goal 4. Using a conceptual synthesis of policy frameworks, a literature review on AI in education, and access statistics, it critiques the limitations of traditional models and proposes a scalable, learner-centred framework that leverages mobile technology, Artificial Intelligence-enabled personalisation, and creator-educators. The model addresses barriers such as digital divide, data privacy, and teacher displacement while emphasising ethical governance, public-private partnerships, and inclusive access. By reframing education as flexible, culturally contextualised, and human-centred, the paper outlines a pragmatic pathway to equitable, high-quality learning for digital-native generations, especially in underserved regions, and positions Artificial Intelligence as a complement to, not a replacement for, teachers.

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