Extent of Artificial Intelligence Integration on Instructional Delivery in Public Universities in Enugu State, Nigeria.

The study determined the extent of artificial intelligence integration on instructional delivery in public universities in Enugu State. Two research questions guided the study while two null hypotheses were tested at.05 level of significance. The researcher adopted a descriptive survey research design for this study. The population for the study comprised 2943 (1966 male and 977 female) lecturers. The sample size was 294 respondents which comprised 196 male and 98 female lecturers. The researcher used proportionate sampling technique to draw the sample size. The instrument for data collection was a researcher developed questionnaire titled “Extent of Artificial Intelligence Integration on Instructional Delivery in Public Universities Questionnaire (EAIIIDPUQ)”. The instrument contained 16 items based on the two research questions. Three experts in Faculty of Education, Enugu State University of Science and Technology validated the instrument. The reliability of the instrument was determined using Cronbach Alpha method which yielded 0.81 for cluster 1 and 0.83 for cluster 2 with an overall reliability index of 0.82 which indicated that the instrument was reliable. Mean scores and standard deviation were used to answer the research questions, while t-test statistic was used to test the hypotheses. The findings of the study showed that to a great extent Intelligent Tutoring Systems and AI-powered Learning Management Systems (LMS) impact the instructional delivery in public universities in Enugu State. In line with the findings, the researcher recommended among others that public universities in Enugu State should allocate more funds to acquire, upgrade, and maintain Intelligent Tutoring Systems and AI-powered LMS.