Higher Education in Low and Middle-Income Countries: How is AI likely to disrupt the sector?

Show simple item record

dc.contributor.author Maina, Anthony
dc.contributor.author Kuria, Jane
dc.date.accessioned 2024-02-19T09:57:34Z
dc.date.available 2024-02-19T09:57:34Z
dc.date.issued 2023-11
dc.identifier.uri https://stieconference.dkut.ac.ke/downloads/7th-STI&E-Proceedings/7TH-STIE-Conference-Proceedings.pdf
dc.identifier.uri http://repository.dkut.ac.ke:8080/xmlui/handle/123456789/8429
dc.description.abstract Artificial Intelligence (AI) has the potential to revolutionize higher education by enhancing teaching and learning processes, improving access to education, and facilitating administrative tasks. However, the implementation of AI in low and middleincome countries (LMICs) comes with its own set of opportunities and challenges. This study aims to explore the opportunities and challenges of AI in higher education among LMICs, taking into consideration the socioeconomic context and specific needs of these countries. The findings suggest that AI can address the educational inequalities and improve access to quality education in LMICs. However, challenges such as limited resources, lack of infrastructure, and cultural barriers need to be overcome for successful implementation. To fully leverage the potential of AI in higher education, it is crucial for institutions to invest in faculty development, research, and collaboration to ensure responsible and effective implementation. en_US
dc.language.iso en en_US
dc.publisher THE 7TH DeKUT INTERNATIONAL CONFERENCE ON SCIENCE TECHNOLOGY, INNOVATION & ENTREPRENEURSHIP en_US
dc.title Higher Education in Low and Middle-Income Countries: How is AI likely to disrupt the sector? en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account