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? VIII.BUEB International Sustainability Student ConferenceProceedings - Budapest University of Economics and Business 2025. Budapesti Gazdaságtudományi Egyetem, Budapest, Magyarország, pp. 1-20. ISBN 978-615-6886-27-9
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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.
Tudományterület / tudományág
bölcsészettudományok > neveléstudományok
Kar
Institution
Budapesti Gazdaságtudományi Egyetem
| Item Type: | Book Section | ||||||
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| Uncontrolled Keywords: | Quality education, Artificial Intelligence in Education, mobile-first learning, digital platforms, creator-educators, digital divide, policy and governance | ||||||
| Depositing User: | Kinga Eszenyi-Bakos | ||||||
| DOI azonosító: | https://doi.org/10.29180/978-615-6886-27-9_10 | ||||||
| Date Deposited: | 2026. Mar. 26. 12:23 | ||||||
| Last Modified: | 2026. Mar. 26. 12:23 | ||||||
| URI: | https://publikaciotar.uni-bge.hu/id/eprint/2640 |
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