Artificial intelligence and economic aspects of public universities in Nigeria.

The study investigated artificial intelligence and economic aspects of public universities in Nigeria. Three research questions and three hypotheses were formulated to guide the study. A descriptive research design was adopted for the study. The population of the study comprised the 51 Federal and the 60 State Universities in the federal republic of Nigeria. The sample size of the study was 13 Federal and the 15 State Universities. Making 25% of the Universities in Nigeria. The sample was derived using simple random sampling technique to ascertain the sample of the study. The instrument used for data collection was self-structured questionnaire titled: "Utilizing Artificial Intelligence for Enhancing Economic Aspects of Nigeria Public Universities Questionnaire" (UAIEEANPU). The instrument was coded in modified four (4) points Likert Scale of Very High Extent (VHE) = 4 Points, High Extent (HE) = 3 points, Low Extent (LE) = 2 points and Very Low Extent (VLE) = 1 point. The copies of the questionnaires were distributed by the researcher with the aid of two research assistants who were adequately trained so that they could answer any question that the respondents may come up with. The 28-questionnaire were issued to universities public relation officers/communication officers which were the respondents of the questionnaires, out of the 28 questionnaires issued, only 25 were retrieved, of which 2 questionnaires were not useful, leaving only 10 federal universities and 13 state universities response rate and this is considered significant for the study. The research questions were answered using mean and standard deviation at mean benchmark of 2.5 while one sample t-test inferential statistics was used to test the null hypotheses at 0.05 level of significance, with the aid of SPSS version 23.0. The finding revealed that utilizing artificial intelligence enhances the economic aspects of Nigeria public universities. Hence, is important to acknowledge that the integration of AI in public universities with careful consideration of ethical and privacy implications. The study concluded that by embracing AI technologies and effectively leveraging their potential, public universities can deliver quality education and support services to their stakeholders. The study recommended that public universities should consider investing in AI technologies and infrastructure to facilitate the integration of AI into various operational processes specifically designed for classroom management process.