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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Exploring the Challenges of Artificial Intelligence in Basic Education in Nigeria

Authors: Kingsley Edinoh, PhD.1*, ONAH, Anthony Chigozie2, Oluwole Adeyinka Ogunbowale3;

Exploring the Challenges of Artificial Intelligence in Basic Education in Nigeria

Abstract

Abstract This paper examines the challenges of Artificial Intelligence (AI) in basic education with a particular focus on its application in Nigeria. It discusses the potential benefits of AI in enhancing teacher-learner interactions, personalizing learning experiences, and improving access to quality education. The paper also identifies key challenges to the integration of AI in basic education, such as lack of skilled professionals and low digital literacy among basic education teachers, cultural adaptation and traditional resistance, inadequate infrastructure, high cost of implementation and shortage of instructional materials, equity and accessibility challenges, lack of localized content, absence of capacity training programme and limited government support and policy framework. This is an analytic position paper. Through an analysis of secondary data gathered from various print and online sources, the paper emphasizes the need for addressing these challenges in order to effectively implement AI at basic education level in Nigeria. It recommends that future research focus on developing AI-powered educational tools tailored to local contexts and evaluating their impact. Additionally, the paper advocates for increased government funding for AI programs in basic education institutions, along with the establishment of monitoring mechanisms to ensure proper allocation and utilization of funds. In conclusion, the paper asserts that while AI holds the potential to revolutionize basic education in Nigeria, its successful integration will depend on thoughtful planning, implementation, and ongoing evaluation. Keywords: Artificial Intelligence and Basic Education

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green