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PERCEIVED INFLUENCE OF LECTURERS ATTITUDES TOWARDS USE OF ARTIFICIAL INTELLIGENCE ON INSTRUCTIONAL DELIVERY IN PUBLIC UNIVERSITIES IN RIVERS STATE

The study examined perceived influence of lecturers’ attitudes towards use of Artificial Intelligence on instructional delivery in public universities in Rivers State. Three objectives and three research questions were raised to guide the study while three null hypotheses were formulated and tested at 0.05 level of significance. The researcher adopted the descriptive survey research design for the study. The population of the study was 3,525 staff of public universities in Rivers State which consisted of 1385 academic staff of University of Port Harcourt, 1705 academic staff of Rivers state university and 435 academic staff of Ignatius Ajuru University of Education The sample size for this study consists of 359 respondents, selected from a total population of 3,525 academic staff across the three public universities in Rivers State. A multi-stage sampling technique was employed to ensure proportional representation across the universities. Firstly, the sample was determined using the Taro Yamane formula. The instrument for data collection in this study was a researcher-designed questionnaire titled Perceived Influence of Lecturers’ Attitudes towards Artificial Intelligence on Instructional Delivery Questionnaire (PILATAIIDQ). The reliability coefficients of 0.81, 0.77 and 0.81 were obtained for the various clusters using Cronbach Alpha method statistics which showed the instrument was reliable. Mean and standard deviation were used to answer the research questions, while the hypotheses were tested using independent t-test at 0.05 level of significance. The findings of the study revealed that lecturers in public universities in Rivers State exhibit a high extent of skepticism towards Artificial Intelligence, which influences their instructional delivery. It was recommended that Public universities should organize structured awareness campaigns to address skepticism towards Artificial Intelligence.

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