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A Critical Analysis of the Impact of Artificial Intelligence on Oman’s Educational Sector: Opportunities, Challenges, and Future Implications

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  • Dr. Mohammed Jahangir Ali

    (Associate Professor, Accounting and Finance – Department of Business Administration and Accounting, Al Buraimi University College, Al Buraimi – Sultanate of Oman)

Abstract

This study analyzes the impact of Artificial Intelligence (AI) on Oman’s educational sector, focusing on its opportunities, challenges, and future implications. As AI technologies become more integrated into teaching, learning, and administration, Oman’s education system is experiencing significant changes, aligning with Vision 2040’s goals for a knowledge-based economy. The research highlights AI’s potential to enhance personalized learning, improve administrative processes, and encourage innovative teaching methods. However, challenges such as infrastructure limitations, digital literacy gaps, ethical concerns, and potential job displacement for educators are also identified. A stratified random sampling method was employed to select 200 survey respondents, including educators and policymakers, from educational institutions across various governorates. The study evaluates AI’s current integration in Omani education and examines necessary policy frameworks and strategies to maximize its benefits while addressing risks. The findings suggest that investment in digital infrastructure, teacher upskilling, and ethical AI governance are essential for sustainable educational progress. Practical recommendations are provided, alongside future trends in AI’s role in Oman’s education sector.

Suggested Citation

  • Dr. Mohammed Jahangir Ali, 2025. "A Critical Analysis of the Impact of Artificial Intelligence on Oman’s Educational Sector: Opportunities, Challenges, and Future Implications," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3s), pages 3485-3498, May.
  • Handle: RePEc:bcp:journl:v:9:y:2025:i:3s:p:3485-3498
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