AI Adoption in Universities in Emerging Economies: Prospects, Challenges and Recommendations.

Sharma, H., Soetan, T., Farinloye, T., Mogaji, E. and Noite, M. 2022. AI Adoption in Universities in Emerging Economies: Prospects, Challenges and Recommendations. in: Re-imagining Educational Futures in Developing Countries Palgrave Macmillan. pp. 159-174

Chapter titleAI Adoption in Universities in Emerging Economies: Prospects, Challenges and Recommendations.
AuthorsSharma, H., Soetan, T., Farinloye, T., Mogaji, E. and Noite, M.
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.

KeywordsCOVID-19 and higher education
global health crises
online education
education in the global south
emerging markets in higher education
Book title Re-imagining Educational Futures in Developing Countries
Page range159-174
Year2022
PublisherPalgrave Macmillan
Publication dates
PublishedFeb 2022
ISBN9783030882334
9783030882341
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-88234-1_9
Web address (URL)https://link.springer.com/chapter/10.1007/978-3-030-88234-1_9

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