Chapter title | AI Adoption in Universities in Emerging Economies: Prospects, Challenges and Recommendations. |
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Authors | Sharma, H., Soetan, T., Farinloye, T., Mogaji, E. and Noite, M. |
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Abstract | Artificial intelligence in education (AIED) is acknowledged as one of the most prominent developments in the field of higher education. AI adoption and application for educational purposes are constantly on the rise. AI has specifically caught the attention of higher education managers, whose possible intention is to reduce inequality and give every student an opportunity to learn and be supported in acquiring knowledge. The adoption of AIED is expected to rise, thereby encouraging universities and other institutions of higher education to invest in the training, resources and infrastructure required to support AI-driven systems. But how are universities in developing countries positioned to adopt and benefit from the growing prospect of AIED? Drawing upon the urgent discussions around the adoption of AIED in emerging economies, this chapter identifies the educational implications of AI in emerging economies by examining the challenges therewith and provides recommendations for AI’s adoption. |
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Keywords | COVID-19 and higher education |
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| global health crises |
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| online education |
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| education in the global south |
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| emerging markets in higher education |
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Book title | Re-imagining Educational Futures in Developing Countries |
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Page range | 159-174 |
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Year | 2022 |
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Publisher | Palgrave Macmillan |
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Publication dates |
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Published | Feb 2022 |
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ISBN | 9783030882334 |
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| 9783030882341 |
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Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-88234-1_9 |
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Web address (URL) | https://link.springer.com/chapter/10.1007/978-3-030-88234-1_9 |
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