Abstract
Empirical studies are needed to assess the effectiveness and challenges of AI implementation in underdeveloped countries and AI impact on the teaching/learning outcomes. This paper aims to identify and analyze some major challenges hindering the adoption of AI in higher education in underdeveloped countries. The paper employed in-depth interviews as a qualitative research methodology, which entailed conducting exhaustive and elaborate conversations with expert participants from the education sector, aimed at acquiring a full comprehension of their experiences, perspectives, and opinions. The findings revealed three main challenges related to (i) infrastructure and resources, (ii) knowledge and skills, and (iii) negative perceptions and concerns regarding AI implementation.
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Abulibdeh, E., Taha, S., Alamassi, S. (2023). Challenges Facing Underdeveloped Countries in Implementing Cutting-Edge AI Technology. In: Yaseen, S.G. (eds) Cutting-Edge Business Technologies in the Big Data Era. SICB 2023. Studies in Big Data, vol 136. Springer, Cham. https://doi.org/10.1007/978-3-031-42455-7_22
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