Malaysia's AI-Driven Education Landscape: Policies, Applications, and Comparative Insights for a Digital Future
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866916971298160640 |
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| author | Jamaluddin, Fadhilah Jamaluddin, Ahmad Hakiim Jamaluddin, Faridzah Jamaluddin, Faathirah |
| author_facet | Jamaluddin, Fadhilah Jamaluddin, Ahmad Hakiim Jamaluddin, Faridzah Jamaluddin, Faathirah |
| contents | Artificial Intelligence (AI) is transforming education globally, and Malaysia is leveraging this potential through strategic policies to enhance learning and prepare students for a digital future. This article explores Malaysia's AI-driven education landscape, emphasising the National Artificial Intelligence Roadmap 2021-2025 and the Digital Education Policy. Employing a policy-driven analysis, it maps AI applications in pedagogy, curriculum design, administration, and teacher training across primary to tertiary levels. The study evaluates national strategies, identifies challenges like digital divides and ethical concerns, and conducts a comparative analysis with the United Kingdom, the United States, China, and India to draw best practices in AI policy and digital transformation. Findings highlight Malaysia's progress in AI literacy and personalised learning, alongside gaps in rural infrastructure and teacher readiness. Recommendations include strengthening governance, investing in equitable infrastructure, and fostering public-private partnerships. Targeting researchers, policymakers, and educators, this study informs Malaysia's path to becoming a regional leader in AI-driven education and contributes to global comparative education discourse. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_21858 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Malaysia's AI-Driven Education Landscape: Policies, Applications, and Comparative Insights for a Digital Future Jamaluddin, Fadhilah Jamaluddin, Ahmad Hakiim Jamaluddin, Faridzah Jamaluddin, Faathirah Computers and Society Artificial Intelligence (AI) is transforming education globally, and Malaysia is leveraging this potential through strategic policies to enhance learning and prepare students for a digital future. This article explores Malaysia's AI-driven education landscape, emphasising the National Artificial Intelligence Roadmap 2021-2025 and the Digital Education Policy. Employing a policy-driven analysis, it maps AI applications in pedagogy, curriculum design, administration, and teacher training across primary to tertiary levels. The study evaluates national strategies, identifies challenges like digital divides and ethical concerns, and conducts a comparative analysis with the United Kingdom, the United States, China, and India to draw best practices in AI policy and digital transformation. Findings highlight Malaysia's progress in AI literacy and personalised learning, alongside gaps in rural infrastructure and teacher readiness. Recommendations include strengthening governance, investing in equitable infrastructure, and fostering public-private partnerships. Targeting researchers, policymakers, and educators, this study informs Malaysia's path to becoming a regional leader in AI-driven education and contributes to global comparative education discourse. |
| title | Malaysia's AI-Driven Education Landscape: Policies, Applications, and Comparative Insights for a Digital Future |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2509.21858 |