AI-Driven Education in the Caribbean: Pathways for Leapfrogging Traditional Academic Systems

Authors

  • Prof. Dr. Stanley Anthony Vivion Paul (Sr.) Professor, University of Excellence, Management and Business (U.E.M.B.), Georgetown, GUYANA.
  • Prof. Dr. Justin Joseph Professor, University of Excellence, Management and Business (U.E.M.B.), Georgetown, GUYANA.
  • Prof. Stanley Anthony Vivion Paul (Jr.) Professor, University of Excellence, Management and Business (U.E.M.B.), Georgetown, GUYANA.
  • Prof. Coretta McDonald Professor, University of Excellence, Management and Business (U.E.M.B.), Georgetown, GUYANA.
  • Prof. Orande Kenneatior Solomon Professor, University of Excellence, Management and Business (U.E.M.B.), Georgetown, GUYANA.
  • Prof. Shenelle Rambhajan Professor, University of Excellence, Management and Business (U.E.M.B.), Georgetown, GUYAN

DOI:

https://doi.org/10.55544/ijrah.5.4.29

Keywords:

Artificial Intelligence, Caribbean education, educational leapfrogging, Guyana, pedagogy, personalized learning, digital inequality, teacher empowerment, educational governance, instructional quality

Abstract

Artificial intelligence (AI) has emerged as a transformative force capable of reshaping educational systems globally. For developing countries in the Caribbean, including Guyana, AI offers a unique opportunity to overcome long-standing structural constraints and leapfrog traditional education models. This article examines the prospects and challenges of AI-driven education across the region by analysing global frameworks, regional contextual variables, applications of AI in low-resource settings, and governance considerations. Drawing on authoritative guidance from UNESCO, the World Bank, and the Inter-American Development Bank, along with contemporary empirical literature, the article proposes a strategic roadmap for responsible AI adoption in Caribbean education systems. The findings suggest that while AI can enhance accessibility, instructional quality, and system management, successful integration requires ethical governance, teacher empowerment, infrastructural investment, and sustained policy coordination.

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References

Chand, A., & Williams, M. (2021). Digital inequality in Guyana: Barriers to access and implications for education. Caribbean Journal of Education, 43(2), 145–162.

Government of Guyana. (2021). Education Bill of Guyana. Ministry of Education.

Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications. Center for Curriculum Redesign.

Inter-American Development Bank. (2021). Digital transformation in Latin America and the Caribbean: Regional outlook 2021. IDB Publications.

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. (2016). Intelligence unleashed: An argument for AI in education. Pearson.

Organisation for Economic Co-operation and Development. (2021). AI in education: Insights and policy recommendations. OECD Publishing.

Penprase, B. (2020). Educating for the fourth industrial revolution. Journal of Educational Technology & Society, 23(4), 1–12.

UNESCO. (2021). AI and education: Guidance for policy-makers. UNESCO Publishing.

UNESCO. (2023). Recommendations on the ethics of artificial intelligence. UNESCO Publishing.

United States Department of Education. (2023). Artificial intelligence and the future of teaching and learning. Office of Educational Technology.

World Bank. (2021). Transforming education through data systems: Emerging trends. World Bank Publications.

World Bank. (2022). Caribbean education strategy: Addressing the learning crisis. World Bank Publications.

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Published

2025-07-31

How to Cite

Paul (Sr.), S. A. V., Joseph, J., Paul (Jr.), S. A. V., McDonald, C., Solomon, O. K., & Rambhajan, S. (2025). AI-Driven Education in the Caribbean: Pathways for Leapfrogging Traditional Academic Systems. Integrated Journal for Research in Arts and Humanities, 5(4), 194–196. https://doi.org/10.55544/ijrah.5.4.29

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