Samadhiya, Ashutosh, Kumar, Anil, Mulat-Weldemeskel, Eyob, Luthra, Sunil, Garza-Reyes, Jose Arturo and Yadav, Sanjeev (2025) Next-gen quality learning: how can AI technologies shape education 4.0 and 5.0 towards the SDGs from multiple stakeholders' perspective? TQM Journal. ISSN 1754-2731 (In Press)
Purpose: Artificial Intelligence (AI) in education is reshaping education landscapes, reinforcing the global endeavor towards Sustainable Development Goals (SDGs). Therefore, this article aims to explore how AI technologies are at the foundation of the shift towards Education 4.0 (E4.0) and Education 5.0 (E5.0), enabling personalized, adaptive, and lifelong learning opportunities for diverse stakeholders in the system.
Design/methodology/approach: This article takes a qualitative and conceptual orientation, distilling recommendations from academic literature, industry practices, and policy frameworks.
Findings: The findings of this research show the transformative power of AI in E4.0 and E5.0 towards different SDGs, such as SDG 4, SDG 5, SDG 9, SDG 10, SDG 12, SDG 13, SDG 16, and SDG 17 with various stakeholders. Also, the recommendations suggest that a conscious and inclusive strategy concerning AI integration into education can promote the success of the SDGs led by education, producing a more equitable, sustainable, and innovative global education ecosystem.
Originality: The article offers a holistic understanding of the integration of AI technologies with education paradigms in the backdrop of global sustainability. The findings provide practical insights for readily implementable action by policymakers, educators, and technologists to ensure inclusive and sustainable education systems. In doing so, the proposed open research questions (ORQs) of this study can be reference research for education transformative studies.
Restricted to Repository staff only until 16 October 2026.
Available under License Creative Commons Attribution Non-commercial 4.0.
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