Impact of Artificial Intelligence on Educational Development in Nigeria
Keywords:
Artificial intelligence, Educational Development, RIF-regression, Pearson CorrelationAbstract
Several real-world studies have shown that artificial intelligence (AI) can improve learning outcomes. This is because AI is technologically advanced. However, developing countries like Nigeria have not fully adopted the AI system in their schools because most government tertiary institutions in Nigeria do not have AI technologies. So, the point of this study is to look into how AI tools like smart tutoring, blockchain technology, adaptive learning, plagiarism detection, and predictive analytics have affected educational development in Nigeria, adding something new to what is already known. The quantitative survey research design was adopted in this study by administering a structured questionnaire to the government tertiary institutions in Nigeria. An outline of the demographic data was made using descriptive statistics. Recentred influence functions (RIF) regression was used to look into how AI tools affect educational development. The Pearson correlation was used to determine how strong and in what direction the link is between AI and educational development in Nigeria. The RIF regression indicates that the AI tools have a positive significant impact on educational development, suggesting that an increase in the AI tools contributes to the betterment of Nigeria’s educational development while the Pearson correlation illustrates a moderate positive link among the AI tools and educational development. Thus, the Nigerian government needs to make sustainable policies that will allow higher education institutions to use AI more effectively, which will lead to better learning outcomes and enhance educational development in the country.